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HUAWEI P20 Lite
Huawei P20 lite
A New Superstar
The Best Just Got Better
Lose yourself in your screen with new generation HUAWEI FullView Display. Designed for life on the go with no compromises, the HUAWEI P20 lite sports a sleek compact frame that's almost entirely dedicated to its 5.84-inch Full HD screen.
Body & Soul
The HUAWEI P20 lite takes colour to a higher level. Delve deeper into Klein Blue, a radiant shade that incorporates a nanometer-level light dazzle texture and deepest Midnight Black to contrast against the vibrancy of the Full HD screen.
Seeing is Believing
The HUAWEI P20 lite features a 2280 x 1080 FHD+ screen with 96% NTSC super high-colour gamut. That means everything you see on this screen is as rich and vibrant and detailed as it can be, from your own photographs to the latest boxset.
Front and Centre
The HUAWEI P20 lite has a new higher definition, wider angle, front camera. 16 megapixels with a pixel size of 1.0 μm and a FOV wide angle of 78°, this camera is made for snapping friends, family and social-media-worthy selfies. With a F2.0 wide aperture and a 3D retouching feature that uses intelligent recognition and facial mapping to adjust lighting and shadow, you can count on terrific portraits and close-ups too.
Outstanding Low Light Photography
Shooting in low light has always been the curse of digital smartphone photography. Now the new HUAWEI P20 lite's LCD intelligent light technology is banishing grainy, poor quality photographs. With a spectrum of 11 colour temperatures for intelligent light rebalancing within different lighting modes and 4 in 1 light fusion, every image in any light comes out clear and bright.
Dual-Lens Camera
The HUAWEI P20 lite's dual-lens rear camera ticks all the boxes and then some. The state-of-the-art 16 MP lens with a pixel size of 1.12 μm and F2.2 aperture is designed to capture more light and read depth perception, allowing you to take sharp, swift snaps when you need them. Partnered with a 2 MP professional Bokeh lens – as well as 5P + 3P lenses for the subject and background – it takes stunning shots while bringing some real definition to the mix.
HUAWEI's all-new EMUI 8.0 features a finely-tuned interface to optimise speed and performance, keeping the HUAWEI P20 lite running fast and smooth for longer
The HUAWEI P20 lite opens at a glance. By looking at your screen for less than a second – 800 milliseconds to be precise – you can access your phone swiftly and securely. Built on complex algorithms and facial comparison data the facial recognition feature ensures high-level security to guard against photo and video intrusion. That means your phone cannot be unlocked while you sleep, or with an image of you.
High-Speed Charging
Safe high-speed charging is a standout feature of the HUAWEI P20 lite. 9V2A high-voltage fast charging technology allows you to power-up quickly and safely when time is short. With HUAWEI's renowned resource-allocation technology, power-waste is minimised and battery life is maximised, making sure all that power lasts longer.
Dual Bluetooth
The HUAWEI P20 lite supports dual Bluetooth, which is a must for modern multi-taskers. It means you can stay connected during your exercise regime by linking a smartband plus a headset to your phone. Or connect in-car for Bluetooth navigation while using your headset to stay hands-free.
Intelligent Engineering
The HUAWEI P20 lite is engineered to stay at the top of its game for longer. HUAWEI's machine learning technology coupled with EMUI 8.0 can understand your smartphone behavior. Based on how you interact with your machine the HUAWEI P20 lite will predict its most efficient mode, saving battery life, optimising performance and keeping your phone running smoother and faster for longer.
|*.mp3, *.mp4, *.3gp, *.ogg, *.amr, *.aac, *.flac, *.midi
|3,000 mAh* *Typical value. Actual capacity may vary slightly. This capacity is the nominal battery capacity. The actual battery capacity for each individual phone may be slightly above or below the nominal battery capacity.
|HUAWEI Kirin 659 4 x Cortex-A53 2.36 GHz + 4 x Cortex-A53 1.7 GHz
|ANE-LX1: Wi-Fi: 802.11b/g/n/a/ac 2.4 GHz and 5 GHz micro USB, USB 2.0 BT4.2, BLE, aptX is supported. or Wi-Fi: 802.11b/g/n/ac 2.4 GHz and 5 GHz micro USB, USB 2.0 BT4.2, BLE, aptX is supported. ANE-LX2 / ANE-LX3: Wi-Fi: 802.11b/g/n 2.4 GHz micro USB, U
|7.4 mm
|TFT LCD (IPS) FHD+ 2280 x 1080 pixels 432 PPI
|Front camera
|ANE-LX1, ANE-LX2 (Single SIM Card), ANE-LX3, ANE-LX2J (Dual SIM Card): GPS / AGPS / GLONASS ANE-LX2 (Dual SIM Card) / ANE-LX2J (Single SIM Card): GPS / AGPS / GLONASS / BeiDou
|148.6 mm
|ANE-LX1 / ANE-LX2: 4 GB + 64 GB (microSD card up to 256 GB) ANE-LX3 / ANE-LX2J: 4 GB + 32 GB (microSD card up to 256 GB) *Due to limitations in CPU processing power, memory used by the operating system and pre-installed applications, the actual space av
|ANE-LX1, ANE-LX3 (Single SIM Card): 4G / 3G / 2G 4G (LTE FDD) 3G (WCDMA) 2G (GSM) ANE-LX1, ANE-LX3 (Dual SIM Card): 4G / 3G / 2G Primary SIM card: 4G (LTE FDD) 3G (WCDMA) 2G (GSM) Secondary SIM card (voice services only, no data service): 2G (GSM) ANE-L
|Rear camera
|ANE-LX1: Hall sensor Fingerprint sensor Proximity sensor Ambient light sensor Digital compass Gravity sensor Gyroscope ANE-LX2: Fingerprint sensor Proximity sensor Ambient light sensor Digital compass Gravity sensor ANE-LX3 / ANE-LX2J: Fingerprint senso
|*.3gp, *.mp4
|What's in the box
|(1) Phone x 1 (2) Built-in battery x 1 (3) Headset x 1 (4) Charger x 1 (5) Type-C Cable x 1 (6) Eject pin x 1 (7) Quick Start Guide x 1 *Dependent on market Note: Contact the sales channel for a more detailed list.
|71.2 mm


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Long Story Short – Meli Watanuki – On Location at Kalaupapa
Like many Hansen's disease patients at Kalaupapa, Meli Watanuki experienced loss from a very early age. Diagnosed with Hansen's disease at eighteen, she was abandoned by her husband who took their young son with him. Years later, their bond could not be reconnected. Yet she explains how she found happiness and a new love by choosing to live in Kalaupapa. She and fellow Hansen's disease patient Boogie Kahilihiwa voice their contrasting views on whether or not children should be allowed into Kalaupapa. This is the third in a series of Long Story Short shows shot on location at Kalaupapa on Moloka'i.
Long Story Short - Meli Watanuki - On Location at Kalaupapa [ 26:40 ] Play Now | Play in Popup | Download
Long Story Short with Leslie Wilcox is a production of PBS Hawaii.

subset: commoncrawl


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Calling all cookies! Beaver Creek seeks recipes for annual event
VAIL CO, Colorado
BEAVER CREEK – Winter is in the air and has left its snowy white mark high up on Beaver Creek Mountain and that can only mean one thing: cookies. Opening Day at Beaver Creek means it's time to dust off grandma's recipe book and try your hand in Beaver Creek's ninth annual Chocolate Chip Cookie Competition. Submit your cookies between Oct. 15-18. The top five recipes will qualify to compete for the $1,000 grand prize and bragging rights as Beaver Creek's Official Chocolate Chip Cookie Recipe for the season. Join us opening day at Beaver Creek at the village transforms into a cookie paradise for adults and kids alike.
Anyone is eligible to bake and submit 12 cookie samples with an original chocolate chip cookie recipe. Cookies must be no more than four inches in diameter and will be judged using the following criteria: Taste (50 percent); Appearance (20 percent); Texture (20 percent); and creativity in cookie name and/or packaging (10 percent). Cookie Competition entrants will be pre-judged and five finalists will be selected to compete during the opening day competition on Nov. 21 where 5,000 warm chocolate chip cookies will be served to skiers and snowboarders. Finalists must be able to attend the competition.
Resort guests and locals alike can vote for their favorite homemade chocolate chip cookie during the ninth annual competition finals on Nov. 21. The winning cookie will become the Official Chocolate Chip Cookie Recipe of Beaver Creek and the winner also will receive $1,000; second will be awarded $500; and third place receives $250. Fourth and fifth place winners will receive two tickets to any performance at the Vilar Performing Arts Center, based on availability.
All cookie entries must be received by mail or dropped in-person between Oct. 15-18. Cookies may be shipped overnight via UPS or FedEx or delivered in person to the Beaver Creek Resort Company office from 9 a.m. to 5 p.m. Entry forms, competition rules and detailed delivery instructions are available online at http://www.beavercreek.com. Entrants with questions may contact Lauren Ciarallo at 970-845-5299.
Beaver Creek serves warm chocolate chip cookies to guests daily at 3 p.m. for the resort's signature program, Cookie Time. Approximately 400,000 cookies are baked and served annually by Cookie Time Chefs.-
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Boston takes steps to return to normal
Moment of silence held Monday afternoon
The city of Boston is recovering a week after two bombs exploded near the finish line of the Boston Marathon, killing three and injuring more than 180 others.
A moment of silence was held at 2:50 p.m. to mark the time a week ago when the bombs went off.
The first funeral was held Monday morning, when a huge crowd gathered in Medford, Mass., to say goodbye to Krystle Campbell, 29. Boston University will hold a memorial service for graduate student Lu Lingzi, 23.
No memorial plans have been announced for 8-year-old Martin Richard. His sister and mother are still recovering from their injuries.
A memorial that had grown over the past week on Boylston Street has been moved off the street as the city slowly pulls the barricades back and prepares to reopen the street. Investigators continued to sweep the area for evidence Monday.
"It's still very hard to believe that this all took place right here," said Clare Siska, who works on Boylston Street.
People have placed messages of hope, love and determination at the memorial.
"Hopefully, it opens people's eyes," said Clintoni Pendleton, of Boston. "Stuff like this happens across the country, across the world. And hopefully people start treating each other with more kindness and respect."
The memorial will likely move again to Copley Square Garden as the Hub continues its journey of returning to business as usual.


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Peavy perfect fit for playoff-contending Red Sox
Following ups and downs of injuries, righty says he's completely healthy
BOSTON -- Quite simply, they're going to love Jake Peavy in Boston. It's a sophisticated fan base that will appreciate the right-hander's maximum effort. He'll give the Red Sox everything he has every time he steps on the mound.
"I hope that's something that does come across in my time here," Peavy told MLB.com this past weekend. "I look forward to being a part of it the rest of this year and next year, and who knows beyond that. The passion the fans bring and their desire to win, I believe my personality will go hand-in-hand with that.
"But at the end of the day, I have to go out and win for them, make them like you. But there will be that preparation and desire every time out."
So far, so good. Peavy's first start for the Red Sox earned him a victory Saturday night over the D-backs. His next one will be against the Royals in Kansas City on Friday night.
No discussion with Peavy would be complete without addressing the experimental surgery he underwent on July 14, 2010, in Chicago. Peavy had the latissimus dorsi muscle reattached to the rear of his shoulder through a sequence of stitches tied to the bone by four metal anchors or tacks. The surgery had never been performed on a starting pitcher.
A little more than three years later, Peavy's shoulder is intact, withstanding the constant motion of throwing pitch after pitch. Boston's newest hurler was given a standing ovation as he walked off the field after allowing a single to open the eighth in a 5-2 win.
MLB.com: That was quite a sendoff by the fans as you walked off the field.
Peavy: To walk off there in the eighth to that kind of response from the fans, albeit upset after giving up the hit, that's something I'll never forget.
MLB.com: You tipped your cap.
Peavy: When somebody gives you that kind of response in appreciation, you certainly want to let them know that you love 'em right back. It was as exciting as any game I've ever pitched in. Fenway Park has always been one of my favorite places to come to as a visiting player simply because of the atmosphere. I feel very blessed to be on the home side now.
MLB.com: People really don't understand what you went through physically to get back to this place, what with what amounted to experimental surgery on your right shoulder. Your career could have been over three years ago.
Peavy: And I appreciate you recognizing that. It was something different, that's for sure. It was a trying time in my life just simply because of the unknowns. I got traded over there to the White Sox by the Padres in 2009 with an ankle injury and I so wanted to be the pitcher they wanted me to be, the pitcher they obtained in that trade. But health-wise, I couldn't do that and ultimately it led to an injury and surgery that no starting pitcher had ever had before.
MLB.com: Psychologically, how did you deal with that?
Peavy: It was tough. Coming back from that you don't know if you can come back and be anything close to what you were. But family, friends, those people who are close to you in life, they stuck with me and were always behind me. I was able to work back and to have an opportunity like this. It's much more gratifying to be at this place than if it wouldn't have happened. I appreciate you understanding what went on there.
MLB.com: Talking to the surgeon, Dr. Anthony Romeo, on numerous occasions, it's incredible what went on there.
Peavy: My friendship with Dr. Romeo goes beyond what happened. He sent me a few texts in the last few days. I can't thank him enough. The confidence he showed -- I've had doctors when you have surgery who tell you just to ride it out. From the moment I met with him, he was so confident in his ability and what he believed in could get me right. It's like anything in life. When somebody shows that much confidence in what he can do, you start believing in it.
MLB.com: In your comeback, when did you actually get to the point when you felt like the procedure was actually going to work?
Peavy: I thought that at the beginning of last year when I came back to Spring Training. In 2011, I tried to get back in the mix and I was hit or miss. In my second start [on May 18, 2011] I threw a shutout against the Indians and beat [Justin] Masterson, 1-0, and my velocity was back. I then had some OK starts. I threw in relief, and looking back on it, I wish I wouldn't have. That was less than a year after I had the procedure and it wasn't the smartest thing for me to do, for me to throw three or four innings in relief. From that point, my arm never recovered in 2011 and was never close to the same.
MLB.com: Did you talk to Ozzie Guillen, the manager of the White Sox back then, about how you were feeling?
Peavy: Yeah, but me and Ozzie had a little bit of a disagreement. We were out of it at the end of the season and I didn't see a need for me to pitch anymore. I had nothing more to prove and I wanted my arm to get some rest so I could get ready for 2012. But he just didn't understand why I wasn't going to make my last few starts. We were mathematically eliminated. It was just a difference of opinion. I didn't want to push it and feel any pain or discomfort in my arm. He was very good to me and my family. It was just a shame that we ended on not so good of a note.
MLB.com: So what was the difference in 2012?
Peavy: I had a normal winter. That's why last year it meant the world to me to be able to come back healthy. I vowed to be the best teammate and the best pitcher. Winning the Gold Glove meant the world to me last winter. I vowed to control the things I could control, try to be the best I could be perhaps not having all the talent I once had, showing that I could stay healthy and pitch almost 220 innings. I knew I was back.
MLB.com: So do you even think about the shoulder now?
Peavy: I really don't. I stay on top of the exercises [to] keep my shoulders strong. That's why I was so bummed this year when I had to miss time with a rib injury because people think, "Aw, he's hurt again." It was something completely freakish and I can't thank [Red Sox general manager] Ben [Cherington] and other teams that were interested in me for realizing it had nothing to do with my arm.
MLB.com: And how did you do it?
Peavy: We're not sure how it happened. Pregame in Oakland I started feeling it. Progressively it just got worse to the point where I didn't know what was going on. But there was nothing impactful. I don't even know how it happened. Nothing like a fall or anything like that. They think it was from just over-straining it, a stress fracture from pushing too hard.
MLB.com: Was it something like the rib injury you sustained with the Padres before the playoffs in 2005?
Peavy: In '05, I know exactly how it happened. We won the National League West title at Petco and I jumped on top of the pile. You can see it happen. I jumped on top and hit Ramon Hernandez. The injury was almost in the same spot on the left side. But this time, it was something I tried to press through and working out it just got worse and worse.
MLB.com: But now you're here at 32 with the wisdom of all those experiences and years.
Peavy: You learn as you go and you learn how to control those emotions. I can't say enough about my Boston teammates, making me feel comfortable and welcome. I've been blessed in these first few days and I look forward to many, many more.


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Users Groups Edit
From Joomla! Documentation
How to access
To edit an existing user group, navigate to the User Groups tab of the User Manager (Users → User Manager → User Groups). Then
- click on the name of the group or
- click on the check box for the group and click on the Edit button.
To create a new user group,
- select Users → Groups → Add New Group from the menu or
- click on the New button in the User Manager: User Groups screen.
User groups play a central role in what a user can do and see on the site. Creating user groups is normally the first step in setting up the security system for your site.
User Groups control what actions a user can take on the site. Actions include things like creating a new article, changing options for a component, or logging in. The site administrator assigns permissions for various actions to each group. Permissions for actions can be assigned at different levels in the component hierarchy (Global Configuration, component options, categories, and articles). If a user does not have permission for a given action, the user can not perform that action.
User groups also control which objects a user can view on the site. Objects include categories, articles, modules, menu items, and others. When you create an access level, one or more user groups are assigned to it. Then, when you create an object (such as a menu item or module), the object is assigned an access level. If a user is a member of a group that is assigned to an access level, this user can view any object assigned to that access level. If not, then that user can not view that object.
User groups can be arranged in a hierarchy. If so, then all child groups inherit the action permissions and access levels of a parent group. If used wisely, this feature can save a lot of time setting up your security system, since it means that you don't have to enter duplicate setup information.
In this screen, you can create a new user group or edit an existing user group.
User Group Details
- Group Title. The name of the group.
- Group Parent. The parent group of this group. Note that each group inherits the permissions from its parent group. If you do not want this group to inherit any permissions, make its parent group "Public". See ACL Tutorial for Joomla 1.6 for more information.
At the top right you will see the toolbar:
The functions are:
- Save. Saves the item and stays in the edit screen.
- Save & Close. Saves the item and closes the edit screen.
- Save & New. Saves the item and keeps the editing screen open and ready to create another item.
- Cancel. Returns to the previous screen without saving your work. If you press Cancel while adding a new item, this new item will not be created. If you were modifying an existing item, the modifications will not be saved.
- Help. Opens this Help Screen.
Quick tips
- If a new group will have similar permissions to an existing group, you can save work by making the new group a child of the existing group. That way, you only need to change the permissions that are different for the new group.


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SHOW AND TELLER: Juergen Teller's photographic skills are set to be lauded at an exhibition called "Juergen Teller: Woo" at the Institute of Contemporary Art in London.
Focusing on the last 10 years of his career, the show will feature images from his commercial body of work, including the Marc Jacobs campaign image that featured Victoria Beckham's legs emerging from a Marc Jacobs shopping bag. There will be intimate family portraits taken in Erlangen, his German home town, and in Suffolk, as well as his celebrity portraits of faces like Björk and Kurt Cobain.
Images of Kate Moss and Lily Cole appear in his editorial oeuvre, and there's a reading room wallpapered with his pictures.
The exhibition, which opens with a nude triptych of Dame Vivienne Westwood, opens on Wednesday and runs until March 17.


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Elvis Dumervil signing another masterstroke by Ozzie Newsome
Ray Rice and Elvis Dumervil figure to enjoy each other's company more now that Dumervil is headed to Baltimore. (Ric Tapia/AP)
Ozzie Newsome is generally regarded as one of the NFL's top general managers. This offseason, on the heels of a Super Bowl victory, might wind up as the definitive proof why.
The defending champion Ravens traded Anquan Boldin, released Bernard Pollard and lost Paul Kruger, Dannell Ellerbe, Ed Reed and Cary Williams to free agency, all following Ray Lewis' retirement. That's six defensive starters, and seven starters in all, removed from the Ravens' postseason starting lineup. (An eighth, offensive tackle Bryant McKinnie, is also an unrestricted free agent.)
Rather than sound the panic alarm, Newsome stayed the course. He added run-stuffing defensive ends Chris Canty and Marcus Spears to his team's 3-4, then Sunday plucked Elvis Dumervil off the free-agent market -- just days after Dumervil's restructured deal with Denver fell through in comic fashion.
Baltimore handed Dumervil a five-year deal worth up to $35 million, still shy of the $8 million Dumervil would have earned had he been able to find a fax machine and get his reworked contract over to Denver prior to the Mar. 16 deadline. It is, however, more than Denver reportedly offered to Dumervil to come back: three years and $18 million with $8 million guaranteed, per the Denver Post's Mike Klis.
SI's Peter King reported that Dumervil's deal will cost the Ravens just $2.5 million against the cap in 2012 -- a $1 million base salary plus the prorated portion of a $7.5 million signing bonus.
The Ravens still have substantial work to do in the secondary (paging Kerry Rhodes at safety), but the addition of Dumervil more than makes up for Kruger's departure for Cleveland. Dumervil recorded 11 sacks last season and had a league-high 17 in 2009.
That mark came when Denver was in a 3-4 defense, as opposed to the 4-3 it currently plays. As mentioned above, the Ravens line up in the 3-4, meaning that Dumervil can slot right into Kruger's vacated role as a stand-up outside linebacker.
A 3-4 setup also should help minimize Dumervil's subpar play against the run -- last season, he graded out as Denver's third-worst run defender, per Pro Football Focus; Kruger finished next to last in that category for the Ravens, though his 15 sacks and relentless presence outside helped earn him a monster deal with the Browns.
Dumervil will pair with a now-healthy Terrell Suggs to give Baltimore arguably a better pass-rushing duo than it had in Suggs-Kruger. The signing will also allow the Ravens to continue easing youngster Courtney Upshaw along, as well, rather than force him into the starting lineup.


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Hottest Female Tennis Players
Hot tennis players have been Eastern Europe's greatest export since caviar and vodka. Who doesn't like to see hotties stroking a ball?
Ashley Harkleroad
This 5'5, 25 year old is currently ranked 76 in the world and was born in Rossville, Georgia. Her career prize money to date is $1,009,244. Harkleroad was also the first WTA tennis player to pose naked for the American men's magazine Playboy.
Maria Sharapova
This 6'2, 23 year old is currently ranked 17 in the world. Born in Nyagan, Russian SFSR, Soviet Union, she's a former World No. 1 Russian professional tennis player. Sharapova has won 22 WTA singles titles, 3 WTA doubles titles and 3 Grand Slam singles titles. Unfortunately she just got engaged to her one year boyfriend Sasha Vujacic, who plays for Lakers.
Dominika Cibulkova
This 5'3, 21 year old is currently ranked 30 in the world. Born in Piestany, Czechoslovakia, this Slovic shorty has earned a solid $1,943,458 in career prize money. Her best results so far are reaching the semifinals of the 2009 French Open.
Simona Halep
This 5'6, 19 year old is currently ranked 76 in the world. She was born in Constanta, Romania, and currently resides there as well. Unfortunately Halep had breast reduction surgery in the summer of 2009, which took her cup size down to 34C from the massive 34DD's she had.
Anna Kournikova
This 5'7, 29 year old is currently retired from the WTA, but played in doubles Wimbledon this year. Anna was born in Moscow, Russian SFSR, Soviet Union and currently resides in Orlando, Florida. She is still dating her 8 year boyfriend Enrique Iglesias but has no intention of getting married anytime soon.
Ana Ivanovic
This 22 year old is currently ranked 17 in the world. This 6'1 tennis babe was born in Belgrade, SR Serbia, SFR Yugoslavia. Recently she won the 2008 French Open and was the runner-up in singles at the 2007 French Open and the 2008 Australian Open. She dated Spanish tennis player Fernando Verdasco in late 2008 and early 2009 then Australia's golf star Adam Scott until August of this year. She is good friends with Men's Tennis #1 in the World, Rafael Nadal.
Maria Kirilenko
This 5'8, 23 year old is currently ranked 19 in the world. Maria was born in Moscow, Soviet Union and currently also resides in Moscow, Russia. She has 5 WTA titles, and 3 ITF titles. She also She appeared in the 2009 Sports Illustrated Swimsuit Edition alongside Daniela Hantuchova and Tatiana Golovin.
Daniela Hantuchova
This 5'11, 27 year old is currently ranked 31 in the world. Daniela was born in Poprad, Slovakia and turned professional in 1999 and had her breakthrough year in 2002, when she won her first Tier I tournament. She also modeled in the 2009 Sports Illustrated Swimsuit Edition alongside Maria Kirilenko and Tatiana Golovin in a pictoral entitled Volley of the Dolls.
Sabine Lisicki
This 5'10, 21 year old is currently ranked 175 in the world. Sabine was born in Troisdorf, Germany and currently resides in Bradenton, Florida. She has 1 WTA title, 2 ITF titles and her highest rank was 22 in august 2009.
Caroline Wozniacki
This 5'9, 20 year old is currently ranked 1 in the world and was born in Odense, Denmark. This Danish babe, as of October 11, 2010, is ranked World No. 1 on the WTA Tour and will finish 2010 as World No. 1. Other than tennis she likes "handball, soccer, swimming, playing the piano, and all kinds of different things."
Related Lists
- This list covers professional, FEMALE tennis players only.
- Add a sexy image of the player in tennis attire, preferably in play.
- No Maxim covers, photoshoots, or nudity.


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Howlin Rain short film "Strange Thunder: The Evolution Of Howlin Rain" on Relix.com
Howlin Rain's album The Russian Wilds comes out on American Recordings on Valentine's Day 2012. Relix.com has posted this short film by Pamela Littky which documents Howlin Rain's story to this point.
Howling Rain will playing in the following cities over the next few weeks, and you can see all the dates and the video after the jump!
Tour dates:
02.07•Mercury Lounge (New York City, NY)
02.08•Brooklyn Bowl (Brooklyn, NY)
02.09•Johnny Brendas (Philadelphia, PA)
02.10•Red Palace (Washington DC)
02.11•Cafe Nine (New Haven, CT)
02.14•Detroit Bar (Costa Mesa, CA)
02.15•Casbah (San Diego, CA)
02.16•Echo (Los Angeles, CA)
02.17•SoHo (Santa Barbara, CA)
02.18•Independent (San Francisco, CA)
02.19•Audie's Olympic (Fresno, CA)
02.21•Humboldt Brews (Arcata, CA)
02.23•Biltmore (Vancouver, BC)
02.24•Sunset Tavern (Seattle, WA)
02.25•Doug Fir (Portland, OR)
03.06•Cellar Door (Visalia, CA)
03.07•SLO Brew (San Luis Obispo, CA)
03.08•Fingerprints (Long Beach, CA)
03.09•Harlow's (Sacramento, CA)
03.10•St. James Infirmary (Reno, NV)
03.11•Crystal Bay Casino (Crystal Bay, NV)
03.12•Urban Lounge (Salt Lake City, UT)
03.13•Larimer Lounge (Denver, CO)


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"Watch What Happens: Live" Earns Highest Rated Episode Of The Season
NEW YORK - October 8, 2010 - Bravo's "The Real Housewives of D.C." ends it first season run as the second highest rated freshman series in the "Real Housewives" franchise among total viewers, according to Nielsen Media Research. The season averaged 1.36 million total viewers and 843,000 adults 18-49. BravoTV.com's showsite for "The Real Housewives of D.C." posted 19 million page views, 1 million unique visitors, and 775,000 video streams during the season.
Additionally, "Watch What Happens: Live" marked its highest rated episode of the third season last night, delivering 1.1 million total viewers and 695,000 adults 18-49. For clips from last night's episode, which featured Tareq and Michaele Salahi from "The Real Housewives of D.C." and Nene Leakes from "The Real Housewives of Atlanta", go to: http://www.bravotv.com/watch-what-happens-live/season-3/videos/the-salahis-on-watch-what-happens-live-part-i
Bravo gives fans of "The Real Housewives of D.C." a double dose of drama when it airs the two-part reunion special, airing Thursday, October 14, 9p.m. ET/PT and Thursday, October 21, 9p.m. ET/PT. For a sneak peak at the reunion special, check out:http://www.bravotv.com/the-real-housewives-of-dc/season-1/videos/dc-housewives-are-ready-to-talk.
Source: Nielsen Media Research, LS data through 10/07/10. Source: Omniture SiteCatalyst; 08/05/10-10/07/10 for total season; Page Views, Monthly Uniques, and Short-Form Video Starts; 10/07/10 vs. 09/30/10 for premiere-day comparison.)
Bravo is a program service of NBC Universal Cable Entertainment, a division of NBC Universal one of the world's leading media and entertainment companies in the development, production, and marketing of entertainment, news, and information to a global audience. Bravo has been an NBC Universal cable network since December 2002 and was the first television service dedicated to film and the performing arts when it launched in December 1980. For more information, visit www.BravoTV.com. Follow us on Twitter at https://twitter.com/BravoPR.


text: New Experimental Strategy to Turn Off Immune Attacks in MS Uses "Nanoparticles" November 19, 2012 Researchers funded by the National Institutes of Health have developed an innovative strategy for selectively inhibiting the immune attack in MS. Drs. Daniel R Getts, Aaron J Martin, and Stephen D Miller (Northwestern University, Chicago) report their results in Nature Biotechnology (advance online publication, November 18). When an immune cell dies, it releases chemicals that attract specific cells of the immune system called macrophages, which ingest the dying cell and deliver it to the spleen. Tiny portions of proteins from the dying cell are used to induce tolerance; this is a natural mechanism of the immune system to induce tolerance that somehow fails in MS. This team has developed 'nanoparticles' that can do the work of these proteins. Administered to mice with the MS-like disease EAE, the strategy reduced the attack on the brain and spinal cord. They are planning phase I clinical trials using this new technology. Read more in the press release from the National Institutes of Health (NIH). The research was supported by the NIH, the Myelin Repair Foundation, and the Juvenile Diabetes Research Foundation. Dr. Miller received funding from the Society for previous studies that led to this finding.


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Cops Called on NBA Star Over Baby Dispute
NBA star Dwight Howard got schooled by cops after removing his child from day care ... TMZ has learned.
It all went down on August 26 when Howard -- who is in an ongoing custody war with baby mama Royce Reed -- went to pick up their 2-year-old son. Reed, we're told, flipped out and called the cops because she claimed the custody agreement didn't give Howard the right to pick the child up that day.
Reed showed up at the day care center for a showdown, but Howard had already left with the kid.
The cops called Howard ... and the NBA star explained he and his ex made a new agreement ... giving him the right to cart his kid away that day. But ... after speaking with lawyers from both sides, the cops handed down their verdict -- a new custody agreement was discussed but never signed.
The cops ordered Howard to return the child to the day care center, stat. Howard's nanny -- the Henry Kissinger character -- took the boy back to school and Reed took him home.
Basketball is so much easier ...
UPDATE: A spokesperson for Reed thanked police and school officials for their quick response. He also said the child "was seriously traumatized by the unlawful actions of Dwight and his staff, and Royce will rely upon the Courts to prevent future incidents from occurring."
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Kyuquot: Village by the Sea collection
- 148
- Collectie
- 1975 or 1976
In 1976, a group of students from the Kyuquot Elementary, a First Nations elementary school on the West coast of Vancouver Island, decided to make a filmstrip that documented their lives in the fishing village. The children's intention behind making these photographs was to raise money for a summer field trip to Victoria, Vancouver, and the Okanagan. As part of the fundraiser, the children made a visual map depicting their daily travel to school by boat and a hand-written order form for the film. Collection consists of documents created by the Kyuquot Elementary School and Mr. Moore, a former Assistant Professor of Anthropology in the 1970s. The collection consists of one correspondence letter written by Mr. Moore requesting a copy of their filmstrip, four pages of typewritten filmstrip descriptions, one handwritten map and flyer created by the Kyuquot Elementary School and one 70 frame color filmstrip that was digitized in 2017. [At the time of processing, it was unknown if the fundraiser was successful.]
Kyuquot Elementary Secondary School


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If you have ever owned a jeep you know the real estate to install anything is at a premium. I came up with what I think is a good idea to install a Sirius Sportster right behind the shifter on top of the small coin tray. My reasoning for this spot is two fold… first of all it keeps your unit out of the line of site of potential thieves and secondly, it keeps the unit out of your line of site while driving.
All you have to do is simply pop out the coin tray, hold the mounting bracket that came with your sportster up to the tray then mark and drill two holes in the tray. Then simply screw the mounting bracket to the coin tray and pop it back into center console molding. Make sure you mount the bracket towards the side of the tray that is closest to the shifter so the unit will clear the dashboard.
There are no real problems with being able to see the unit especially with the backlit LCD. The only issue might be reaching down to change the channels. I can do it no problem because I have long arms but, if you don't simply use the remote that is provided with the unit.
I do not have a picture of how I ran the antenna wire because it is raining out and the top is up right now but, I can tell you how I did it. Simply cut a hole in the middle of the rollbar (the one in the middle by the soundbar), then slide the wire down the rollbar past the seatbelt all the way down to the floor. Then run the wire under the rug up to the dashboard. Slide the wire behind the dashboard and over to the unit. The actual antenna will stay in place because of the magnet on the back of it and because the hole that was cut is so small the unit has no where to go. For the record the soft top does not interfere with the signal at all and the top can be put up and down with no issues.
Hope this helps for all you Jeep driving, Sirius loving fans.


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EBook Problems
- 1 Probability and Statistics EBook Practice Problems
- 2 I. Introduction to Statistics
- 3 II. Describing, Exploring, and Comparing Data
- 3.1 Types of Data
- 3.2 Summarizing Data with Frequency Tables
- 3.3 Pictures of Data
- 3.4 Measures of Central Tendency
- 3.5 Measures of Variation
- 3.6 Measures of Shape
- 3.7 Statistics
- 3.8 Graphs and Exploratory Data Analysis
- 4 III. Probability
- 5 IV. Probability Distributions
- 6 V. Normal Probability Distribution
- 7 VI. Relations Between Distributions
- 7.1 The Central Limit Theorem
- 7.2 Law of Large Numbers
- 7.3 Normal Distribution as Approximation to Binomial Distribution
- 7.4 Poisson Approximation to Binomial Distribution
- 7.5 Binomial Approximation to Hypergeometric
- 7.6 Normal Approximation to Poisson
- 8 VII. Point and Interval Estimates
- 8.1 Method of Moments and Maximum Likelihood Estimation
- 8.2 Estimating a Population Mean: Large Samples
- 8.3 Estimating a Population Mean: Small Samples
- 8.4 Student's T distribution
- 8.5 Estimating a Population Variance
- 9 VIII. Hypothesis Testing
- 10 IX. Inferences from Two Samples
- 11 X. Correlation and regression
- 12 XI. Analysis of Variance (ANOVA)
- 13 XII. Non-Parametric Inference
- 13.1 Differences of Medians (Centers) of Two Paired Samples
- 13.2 Differences of Medians (Centers) of Two Independent Samples
- 13.3 Differences of Proportions of Two Samples
- 13.4 Differences of Means of Several Independent Samples
- 13.5 Differences of Variances of Independent Samples (Variance Homogeneity)
- 14 XIII. Multinomial Experiments and Contingency Tables
Probability and Statistics EBook Practice Problems
The problems provided below may be useful for practicing the concepts, methods and analysis protocols, and for self-evaluation of learning of the materials presented in the EBook.
I. Introduction to Statistics
The Nature of Data and Variation
Although natural phenomena in real life are unpredictable, the designs of experiments are bound to generate data that varies because of intrinsic (internal to the system) or extrinsic (due to the ambient environment) effects. How many natural processes or phenomena in real life can we describe that have an exact mathematical closed-form description and are completely deterministic? How do we model the rest of the processes that are unpredictable and have random characteristics?
Uses and Abuses of Statistics
Statistics is the science of variation, randomness and chance. As such, statistics is different from other sciences, where the processes being studied obey exact deterministic mathematical laws. Statistics provides quantitative inference represented as long-time probability values, confidence or prediction intervals, odds, chances, etc., which may ultimately be subjected to varying interpretations. The phrase Uses and Abuses of Statistics refers to the notion that in some cases statistical results may be used as evidence to seemingly opposite theses. However, most of the time, common principles of logic allow us to disambiguate the obtained statistical inference.
Design of Experiments
Design of experiments is the blueprint for planning a study or experiment, performing the data collection protocol and controlling the study parameters for accuracy and consistency. Data, or information, is typically collected in regard to a specific process or phenomenon being studied to investigate the effects of some controlled variables (independent variables or predictors) on other observed measurements (responses or dependent variables). Both types of variables are associated with specific observational units (living beings, components, objects, materials, etc.)
Statistics with Tools (Calculators and Computers)=
All methods for data analysis, understanding or visualizing are based on models that often have compact analytical representations (e.g., formulas, symbolic equations, etc.) Models are used to study processes theoretically. Empirical validations of the utility of models are achieved by inputting data and executing tests of the models. This validation step may be done manually, by computing the model prediction or model inference from recorded measurements. This process may be possible by hand, but only for small numbers of observations (<10). In practice, we write (or use existent) algorithms and computer programs that automate these calculations for better efficiency, accuracy and consistency in applying models to larger datasets.
II. Describing, Exploring, and Comparing Data
Types of Data
There are two important concepts in any data analysis - Population and Sample. Each of these may generate data of two major types - Quantitative or Qualitative measurements.
Summarizing Data with Frequency Tables
There are two important ways to describe a data set (sample from a population) - Graphs or Tables.
Pictures of Data
There are many different ways to display and graphically visualize data. These graphical techniques facilitate the understanding of the dataset and enable the selection of an appropriate statistical methodology for the analysis of the data.
Measures of Central Tendency
There are three main features of populations (or sample data) that are always critical in understanding and interpreting their distributions - Center, Spread and Shape. The main measures of centrality are Mean, Median and Mode(s).
Measures of Variation
There are many measures of (population or sample) spread, e.g., the range, the variance, the standard deviation, mean absolute deviation, etc. These are used to assess the dispersion or variation in the population.
Measures of Shape
The shape of a distribution can usually be determined by looking at a histogram of a (representative) sample from that population; Frequency Plots, Dot Plots or Stem and Leaf Displays may be helpful.
Variables can be summarized using statistics - functions of data samples.
Graphs and Exploratory Data Analysis
Graphical visualization and interrogation of data are critical components of any reliable method for statistical modeling, analysis and interpretation of data.
III. Probability
Probability is important in many studies and disciplines because measurements, observations and findings are often influenced by variation. In addition, probability theory provides the theoretical groundwork for statistical inference.
Some fundamental concepts of probability theory include random events, sampling, types of probabilities, event manipulations and axioms of probability.
Rules for Computing Probabilities
There are many important rules for computing probabilities of composite events. These include conditional probability, statistical independence, multiplication and addition rules, the law of total probability and the Bayesian rule.
Probabilities Through Simulations
Many experimental setting require probability computations of complex events. Such calculations may be carried out exactly, using theoretical models, or approximately, using estimation or simulations.
There are many useful counting principles (including permutations and combinations) to compute the number of ways that certain arrangements of objects can be formed. This allows counting-based estimation of probabilities of complex events.
IV. Probability Distributions
There are two basic types of processes that we observe in nature - Discrete and Continuous. We begin by discussing several important discrete random processes, emphasizing the different distributions, expectations, variances and applications. In the next chapter, we will discuss their continuous counterparts. The complete list of all SOCR Distributions is available here.
Random Variables
To simplify the calculations of probabilities, we will define the concept of a random variable which will allow us to study uniformly various processes with the same mathematical and computational techniques.
Expectation (Mean) and Variance
The expectation and the variance for any discrete random variable or process are important measures of Centrality and Dispersion. This section also presents the definitions of some common population- or sample-based moments.
1. Ming's Seafood Shop stocks live lobsters. Ming pays $6.00 for each lobster and sells each one for $12.00. The demand X for these lobsters in a given day has the following probability mass function.
What is the Expected Demand?
Choose one answer.
- (a) 13.5
- (b) 3.1
- (c) 2.65
- (d) 5.2
2. If sampling distributions of sample means are examined for samples of size 1, 5, 10, 16 and 50, you will notice that as sample size increases, the shape of the sampling distribution appears more like that of the:
Choose one answer.
- (a) normal distribution
- (b) uniform distribution
- (c) population distribution
- (d) binomial distribution
Bernoulli and Binomial Experiments
The Bernoulli and Binomial processes provide the simplest models for discrete random experiments.
Multinomial Experiments
Multinomial processes extend the Binomial experiments for the situation of multiple possible outcomes.
Geometric, Hypergeometric and Negative Binomial
The Geometric, Hypergeometric and Negative Binomial distributions provide computational models for calculating probabilities for a large number of experiment and random variables. This section presents the theoretical foundations and the applications of each of these discrete distributions.
Poisson Distribution
The Poisson distribution models many different discrete processes where the probability of the observed phenomenon is constant in time or space. Poisson distribution may be used as an approximation to the Binomial distribution.
V. Normal Probability Distribution
The Normal Distribution is perhaps the most important model for studying quantitative phenomena in the natural and behavioral sciences - this is due to the Central Limit Theorem. Many numerical measurements (e.g., weight, time, etc.) can be well approximated by the normal distribution.
The Standard Normal Distribution
The Standard Normal Distribution is the simplest version (zero-mean, unit-standard-deviation) of the (General) Normal Distribution. Yet, it is perhaps the most frequently used version because many tables and computational resources are explicitly available for calculating probabilities.
1. Weight is a measure that tends to be normally distributed. Suppose the mean weight of all women at a large university is 135 pounds, with a standard deviation of 12 pounds. If you were to randomly sample 9 women at the university, there would be a 68% chance that the sample mean weight would be between:
Choose one answer.
- (a) 131 and 139 pounds.
- (b) 133 and 137 pounds.
- (c) 119 and 151 pounds
- (d) 125 and 145 pounds.
- (e) 123 and 147 pounds.
2. The amount of money college students spend each semester on textbooks is normally distributed with a mean of $195 and a standard deviation of $20. Suppose you take a random sample of 100 college students from this population. There is a 68% chance that the sample mean amount spent on textbooks is between:
Choose one answer.
- (a) $193 and $197.
- (b) $155 and $235.
- (c) $191 and $199.
- (d) $175 and $215.
3. A researcher converts 100 lung capacity measurements to z-scores. The lung capacity measurements do not follow a normal distribution. What can we say about the standard deviation of the 100 z-scores?
Choose one answer.
- (a) It depends on the standard deviation of the raw scores
- (b) It equals 1
- (c) It equals 100
- (d) It must always be less than the standard deviation of the raw scores
- (e) It depends on the shape of the raw score distribution
4. The weights of packets of cookies produced by a certain manufacturer have a normal distribution with a mean of 202 grams and a standard deviation of 3 grams. What is the weight that should be stamped on the packet so that only 0.99% of packets are underweight?
Choose one answer.
- (a) 200
- (b) 195
- (c) 190
- (d) 205
5. GSP Inc. is trying two different marketing techniques for its toothpaste. In 20 test cities, it is using family branding. This sells toothpaste with a mean of 2,250 units per week and a standard deviation of 250 units per week. In 20 other test cities, GSP is using individual branding. This sells toothpaste with a mean of 2,250 units per week and a standard deviation of 500 units per week. GSP wants to select the marketing technique that sells at least 2,350 units per week more often. If the number of units sold per week follows a normal distribution, which marketing technique should GSP choose?
Choose one answer.
- (a) Individual Branding
- (b) Can't be answered with the information given
- (c) Family Branding
- (d) They each get the same result
6. Among first year students at a certain university, scores on the verbal SAT follow the normal curve. The average is around 500 and the SD is about 100. Tatiana took the SAT, and placed at the 85% percentile. What was her verbal SAT score?
Choose one answer.
- (a) 604
- (b) 560
- (c) 90
- (d) 403
7. A set of test scores are normally distributed. The mean is 100 and the standard deviation is 20. These scores are converted to z-scores. What are the z-scores of the mean and median?
Choose one answer.
- (a) 1
- (b) 100
- (c) 0
- (d) 50
8. In Japan there is an annual turkey dog eating contest. The number of turkey dogs that contestants eat are normally distributed with a mean of 36 turkey dogs and a standard deviation of 6 turkey dogs. A contestant eats 27 turkey dogs. What is his z-score?
Choose one answer.
- (a) 6
- (b) -1.5
- (c) 9
- (d) 1.5
- (e) -9
Nonstandard Normal Distribution: Finding Probabilities
In practice, the mechanisms underlying natural phenomena may be unknown, yet the use of the normal model can be theoretically justified in many situations to compute critical and probability values for various processes.
Nonstandard Normal Distribution: Finding Scores (Critical Values)
In addition to being able to compute probability (p) values, we often need to estimate the critical values of the Normal Distribution for a given p-value.
VI. Relations Between Distributions
In this chapter, we will explore the relations between different distributions. This knowledge will help us to compute difficult probabilities using reasonable approximations and identify appropriate probability models, graphical and statistical analysis tools for data interpretation. The complete list of all SOCR Distributions is available here and the SOCR Distributome applet provides an interactive graphical interface for exploring the relations between different distributions.
The Central Limit Theorem
The exploration of the relation between different distributions begins with the study of the sampling distribution of the sample average. This will demonstrate the universally important role of normal distribution.
1. Which of the following would make the sampling distribution of the sample mean narrower? Check all answers that apply.
Choose at least one answer.
- (a) A smaller population standard deviation
- (b) A smaller sample size
- (c) A larger standard error
- (d) A larger sample size
- (e) A larger population standard deviation
Law of Large Numbers
Suppose the relative frequency of occurrence of one event whose probability to be observed at each experiment is p. If we repeat the same experiment over and over, the ratio of the observed frequency of that event to the total number of repetitions converges towards p as the number of experiments increases. Why is that and why is this important?
Normal Distribution as Approximation to Binomial Distribution
Normal Distribution provides a valuable approximation to Binomial when the sample sizes are large and the probability of successes and failures are not close to zero.
1. Under what condition will the approximation to the binomial distribution using the normal curve be most accurate?
Choose one answer.
- (a) np>10 and n(1-p)>10
- (b) Bernoulli trials for each member of the sample
- (c) Dependence of the members of the sample.
- (d) np>10 and n(1-p)<10
Poisson Approximation to Binomial Distribution
Poisson provides an approximation to Binomial Distribution when the sample sizes are large and the probability of successes or failures is close to zero.
Binomial Approximation to Hypergeometric
Binomial Distribution is much simpler to compute, compared to Hypergeometric, and can be used as an approximation when the population sizes are large (relative to the sample size) and the probability of successes is not close to zero.
Normal Approximation to Poisson
The Poisson can be approximated fairly well by Normal Distribution when λ is large.
VII. Point and Interval Estimates
Estimation of population parameters is critical in many applications. Estimation is most frequently carried in terms of point-estimates or interval (range) estimates for population parameters that are of interest.
Method of Moments and Maximum Likelihood Estimation
There are many ways to obtain point (value) estimates of various population parameters of interest, using observed data from the specific process we study. The method of moments and the maximum likelihood estimation are among the most popular ones frequently used in practice.
Estimating a Population Mean: Large Samples
This section discusses how to find point and interval estimates when the sample-sizes are large.
Estimating a Population Mean: Small Samples
Next, we discuss point and interval estimates when the sample-sizes are small. Naturally, the point estimates are less precise and the interval estimates produce wider intervals, compared to the case of large-samples.
Student's T distribution
The Student's T-Distribution arises in the problem of estimating the mean of a normally distributed population when the sample size is small and the population variance is unknown.
Estimating a Population Proportion
Normal Distribution is appropriate model for proportions, when the sample size is large enough. In this section, we demonstrate how to obtain point and interval estimates for population proportion.
1. A 1996 poll of 1,200 African American adults found that 708 think that the American dream has become impossible to achieve. The New Yorker magazine editors want to estimate the proportion of all African American adults who feel this way. Which of the following is an approximate 90% confidence interval for the proportion of all African American adults who feel this way?
Choose one answer.
- (a) (.56, .62)
- (b) (.57, .61)
- (c) Can't be calculated because the population size is too small.
- (d) Can't be calculated because the sample size is too small.
2. True or False: In a well-designed sample survey like the Current Population Survey, the observed sample percentage (e.g, percentage unemployed) is equal to the population percentage. Thus, it is appropriate to just report the sample percentage, without any measure of accuracy (i.e. without the margin of error).
Choose one answer.
- (a) True
- (b) False
3. The BBC news does a story and at one point the reporter says: A polling agency reports that the percentage of the American public who agree we should spend more money on the mental health of the war veterans is 42% +/- 3%
Choose one answer.
- (a) The probability that the American public agree that we should spend more money on the mental health of the war veterans is between 39% to 42%.
- (b) The percentage of the American public who agree that we should spend more money on the mental health of the war veterans is between 39% to 45%.
- (c) We are 95% confident that the percentage of the American public who agree that we should spend more money on the mental health of the war veterans is between 39% to 45%.
- (d) The percentage of the American public who agree that we should spend more money on the mental health of the war veterans is 42%.
Estimating a Population Variance
In many processes and experiments, controlling the amount of variance is of critical importance. Thus the ability to assess variation, using point and interval estimates, facilitates our ability to make inference, revise manufacturing protocols, improve clinical trials, etc.
VIII. Hypothesis Testing
Fundamentals of Hypothesis Testing
1. Suppose you were hired to conduct a study to find out which of two brands of soda college students think taste better. In your study, students are given a blind taste test. They rate one brand and then rated the other, in random order. The ratings are given on a scale of 1 (awful) to 5 (delicious). Which type of test would be the best to compare these ratings?
- (a) One-Sample t
- (b) Chi-Square
- (c) Paired Difference t
- (d) Two-Sample t
2. USA Today's AD Track examined the effectiveness of the new ads involving the Pets.com Sock Puppet (which is now extinct). In particular, they conducted a nationwide poll of 428 adults who had seen the Pets.com ads and asked for their opinions. They found that 36% of the respondents said they liked the ads. Suppose you increased the sample size for this poll to 1000, but you had the same sample percentage who like the ads (36%). How would this change the p-value of the hypothesis test you want to conduct?
Choose One Answer.
- (a) No way to tell
- (b) The new p-value would be the same as before
- (c) The new p-value would be smaller than before
- (d) The new p-value would be larger than before
3. A marketing director for a radio station collects a random sample of three hundred 18 to 25 year-olds and two hundred and fifty 25 to 40 year-olds. She records the percent of each group that had purchased music online in the last 30 days. She performs a hypothesis test, and the p-value of her test turns out to be 0.15. From this she should conclude:
Choose one answer.
- (a) that about 15% more people purchased on-line music in the younger group than in the older group.
- (b) there is insufficient evidence to conclude that there is a difference in the proportion of on-line music purchases in the younger and older group.
- (c) the proportion of on-line music purchasers is the same in the under-25 year-old group as in the older group.
- (d) the probability of getting the same results again is 0.15.
4. If we want to estimate the mean difference in scores on a pre-test and post-test for a sample of students, how should we proceed?
Choose one answer.
- (a) We should construct a confidence interval or conduct a hypothesis test
- (b) We should collect one sample, two samples, or conduct a paired data procedure
- (c) We should calculate a z or a t statistic
5. The paint used to make lines on roads must reflect enough light to be clearly visible at night. Let mu denote the true average reflectometer reading for a new type of paint under consideration. A test of the null hypothesis that mu = 20 versus the alternative hypothesis that mu > 20 will be based on a random sample of size n from a normal population distribution. In which of the following scenarios is there significant evidence that mu is larger than 20?
(i) n=15, t=3.2, alpha=0.05
(ii) n=9, t=1.8, alpha=0.01
(iii) n=24, t=-0.2, alpha=0.01
Choose one answer.
- (a) (ii) and (iii)
- (b) (i)
- (c) (iii)
- (d) (ii)
6. The average length of time required to complete a certain aptitude test is claimed to be 80 minutes. A random sample of 25 students yielded an average of 86.5 minutes and a standard deviation of 15.4 minutes. If we assume normality of the population distribution, is there evidence to reject the claim? (Select all that applies).
Choose at least one answer.
- (a) No, because the probability that the null is true is > 0.05
- (b) Yes, because the observed 86.5 did not happen by chance
- (c) Yes, because the t-test statistic is 2.11
- (d) Yes, because the observed 86.5 happened by chance
7. We observe the math self-esteem scores from a random sample of 25 female students. How should we determine the probable values of the population mean score for this group?
Choose one answer.
- (a) Test the difference in means between two paired or dependent samples.
- (b) Test that a correlation coefficient is not equal to 0 (correlation analysis).
- (c) Test the difference between two means (independent samples).
- (d) Test for a difference in more than two means (one way ANOVA).
- (e) Construct a confidence interval.
- (f) Test one mean against a hypothesized constant.
- (g) Use a chi-squared test of association.
8. Food inspectors inspect samples of food products to see if they are safe. This can be thought of as a hypothesis test where H0: the food is safe, and H1: the food is not A. If you are a consumer, which type of error would be the worst one for the inspector to make, the type I or type II error?
Choose one answer.
- (a) Type I
- (b) Type II
9. A college admissions officer is concerned that their admission criteria might not treat men and women with equal weight. To test this, the college took a random sample of male and female high school seniors from a very large local school district and determined the percent of males and females who would be eligible for admission at the college. Which of the following is a suitable null hypothesis for this test?
Choose one answer.
- (a) p = 0.5
- (b) The proportion of all eligible men in the district will not equal the proportion of all eligible women in the district.
- (c) The proportion of all eligible men in the school district should be equal to the proportion of all eligible women in the school district.
- (d) The proportion of eligible men sampled should equal the propotion of eligible women sampled.
Testing a Claim About a Mean: Large Samples
1. Hong is a pharmacist studying the effect of an anti-depressant drug. She organizes a simple random sample of 100 patients, and then collect their anxiety test scores before and after administering the anti-depressant drug. Hong wants to estimate the mean difference between the pre-drug and post-drug test scores. How should she proceed?
Choose one answer.
- (a) She should compute a confidence interval or conduct a hypothesis test
- (b) She should calculate the z or the t statistics
- (c) She should compute the correlation between the two samples
- (d) Not enough information to tell
2. A utility company serves 50,000 households. As part of a survey of customer attitudes, they take a simple random sample of 750 of these households. The average number of television sets in the sample households turns out to be 1.86, and the standard deviation in the sample is 0.80. What sample size would be necessary for the standard error of the sample mean to be 0.02?
Choose one answer
- (a) 5,000
- (b) 1,600
- (c) 10,000
- (d) 1,000
Testing a Claim About a Mean: Small Samples
1. To test the claim that the average home in a certain town is within 5.5 miles of the nearest fire station, and insurance company measured the distances from 25 randomly selected homes to the nearest fire station and found x-bar = 5.8 miles and sd = 2.4 miles. Determine what the insurance company found out with a test of significance. Check all that apply.
Choose at least one answer.
- (a) There is no evidence in the data to conclude that the distance is different from 5.5.
- (b) The average of 5.8 miles observed is by chance.
- (c) We cannot reject the null.
- (d) There is evidence in the data to conclude that the distance is 5.5.
Testing a Claim About a Proportion
1. A random sample of 1000 Americans aged 65 and older was collected in 1980 and found that 15% had "hazardous" levels of drinking, which is defined as regularly drinking an amount of alcohol that could cause health problems given the subject's medical conditions. Researchers wanted to know if this proportion has changed since 1980 and so collected a random sample of 1500 Americans aged 65 and older in 2004. They found that 12% drank at hazardous levels. Which of the following is closest to the value of a test statistic that could be used to test the hypothesis that the proportion of hazardous drinkers over the age of 65 has declined since 1980?
Choose one answer.
- (a) -2.13
- (b) 0.014
- (c) 0.418
- (d) 4.54
Testing a Claim About a Standard Deviation or Variance
IX. Inferences from Two Samples
Inferences About Two Means: Dependent Samples
Inferences About Two Means: Independent Samples
Comparing Two Variances
Inferences About Two Proportions
X. Correlation and regression
1. A positive correlation between two variables X and Y means that if X increases, this will cause the value of Y to increase.
- (a) This is always true.
- (b) This is sometimes true.
- (c) This is never true.
2. The correlation between high school algebra and geometry scores was found to be + 0.8. Which of the following statements is not true?
- (a) Most of the students who have above average scores in algebra also have above average scores in geometry.
- (b) Most people who have above average scores in algebra will have below average scores in geometry
- (c) If we increase a student's score in algebra (ie. with extra tutoring in algebra), then the student's geometry scores will always increase accordingly.
- (d) Most students who have below average scores in algebra also have below average scores in geometry.
3. Researchers discover that the correlation between miles ran per week and cardiovascular endurance is +0.75. They also discover that the correlation between hours spent watching television per week and cardiovascular endurance is -0.75. What is the conclusion that best characterizes the result of this study?
Choose one answer.
- (a) Most people who spend a lot of hours watching television have low cardiovascular endurance.
- (b) Most people who have good cardiovascular endurance spend a lot of time running and little time watching television.
- (c) Based on the correlation, if you increase your running hours per week, your cardiovascular endurance will decrease.
- (d) Based on the correlation, if you increases your television watching time, your cardiovascular endurance will decrease.
- (e) Most people with a lot of miles ran per week have high cardiovascular endurance.
4. The correlation between working out and body fat was found to be exactly -1.0. Which of the following would not be true about the corresponding scatterplot?
Choose one answer.
- (a) The slope of the best line of fit should be -1.0.
- (b) All the points would lie along a perfect straight line, with no deviation at all.
- (c) The best fitting line would have a downhill (negative) slope.
- (d) 100% of the variance in body fat can be predicted from workout.
5. Suppose that the correlation between working out and body fat was found to be exactly -1.0. Which of the following would NOT be true, about the corresponding scatterplot?
Choose one answer.
- (a) All points would lie along a straight line, with no deviation at all.
- (b) 100% of the variance in body fat can be predicted from the workout.
- (c) The slope of the linear model is -1.0.
- (d) The best fitting line would have a negative slope.
6. A recent article in an educational research journal reports a correlation of +0.8 between math achievement and overall math aptitude. It also reports a correlation of -0.8 between math achievement and a math anxiety test. Which of the following interpretations is the most correct?
Choose one answer
- (a) You cannot compare a positive and a negative correlation.
- (b) The correlation of +0.8 indicates a stronger relationship than the correlation of -0.8.
- (c) The correlation of +0.8 is just as strong as the correlation of -0.8.
- (d) It is impossible to tell which correlation is stronger.
7. Psychologists have shown that there is a relationship between stress levels and productivity. As stress levels increase, productivity also increases up to a certain point, and after that productivity decreases as stress levels increase. Suppose you were given this data for a random sample of 200 adults. If you calculated the Pearson coefficient of correlation, what would you expect to find?
Choose one answer.
- (a) I would expect r to be between -0.50 to -0.70.
- (b) I would expect r to be -1.
- (c) I would expect r to be between 0.50 and 0.70.
- (d) I would expect r to be +1.
- (e) I would expect r to be zero.
8. If the correlation coefficient is 0.80, then:
Choose one answer.
- (a) The explanatory variable is usually less than the response variable.
- (b) The explanatory variable is usually more than the response variable.
- (c) None of the statements are correct.
- (d) Below-average values of the explanatory variable are more often associated with below-average values of the response variable.
- (e) Below-average values of the explanatory variable are more often associated with above-average values of the response variable.
9. Given the following data, what is the best estimate for the coefficient of correlation between the ages of the husbands and wives?
There are 50 couples (husband and wife). The age range for men is from 50 to 70 years old. The age range for women is from 48 to 68 years old. For all of the couples, the husband is two years older than the wife. For instance, in one couple the husband is 50 years old and the wife is 48 years old.
Choose one answer.
- (a) The coefficient of correlation between the age of husband and wife is equal to +1.
- (b) We need the actual data to compute the coefficient of correlatin between the age of the husband and wife.
- (c) The coefficient of correlation between the age of husband and wife is equal to zero.
- (d) The coefficient of correlation between the age of husband and wife is equal to +0.50.
- (e) The coefficient of correlation between the age of husband and wife is equal to -1.
1. Use the information from the Heights of Fathers and Sons to write the linear model that best predicts the height of the son from the height of the father.
Choose one answer.
- (a) Son's height = 35 + 0.5*Father's height'
- (b) Son's height = 1.00 + 1.00* Father's height
- (c) The model cannot be determined without the actual data
- (d) Son's height = 0.5 + 35*Father's height
2. A congressional report investigates the relationship between income of parents and educational attainment of their daughters. Data are from a sample of families with daughters age 18-24. Average parental income is $29,300, average educational attainment of the daughters is 13.1 years of schooling completed, and the correlation is 0.37.
The regression line for predicting daughter's education from parental income is reported as: Predicted education = 0.000617*(income) + 8.1
Is the following statement true or false? "The above line is the regression line to predict education from income."
- (a)True.
- (b)False.
3. Heights of Fathers and Sons
In the early 1900's when Francis Galton and Karl Pearson measured 1078 pairs of fathers and their grown-up sons, they calculated that the mean height for fathers was about 68 inches with deviation of 3 inches. For their sons, the mean height was 69 inches with deviation of 3 inches. (The actual numbers are slightly smaller, but we will work with these values to keep the calculations simple.) The correlation coefficient was 0.50. Use the information to calculate the slope of the linear model that predicts the height of the son from the height of the father.
Choose one answer.
- (a) 0.50
- (b) The slope cannot be determined without the actual data
- (c) 35.00
- (d) 3/3 = 1.00
4. The National Highway Safety Administration is interested in the effect of seat belt use on saving lives. One study reported statistics on children under the age of 5 who were involved in motor vehicles accidents in which at least one fatality occurred. 7,060 such accidents between 1985 and 1989 were studied. Of those who survived, 1129 weren't wearing a seat belt, 432 were wearing an adult seat belt and 733 had a children's carseat belt. Of those with fatalities, 509 had no belt, 73 had an adult seat belt, and 139 had a children's carseat belt.
Are seat belt status and the outcome of the accidents independent?
Choose one answer.
- (a) Yes
- (b) No
- (c) Can't tell with the information provided
5. Suppose that wildlife researchers monitor the local alligator population by taking aerial photograhs on a regular schedule. They determine that the best fitting linear model to predict weight in pounds from the length of the gators inches is:
Weight = -393 + 5.9*Length with r2 = 0.836.
Which of the following statements is true?
Choose one answer.
- (a) A gator that is about 10 inches above average in length is about 59 pounds above the average weight of these gators.
- (b) The correlation between a gator's length and weight is 0.836.
- (c) The correlation between a gator's height and weight cannot be determined without the actual data.
- (d) The correlation between a gator's height and weigth is about -0.914.
Variation and Prediction Intervals
1. Two researchers are going to take a sample of data from the same population of physics students. Researcher A will select a random sample of students from among all students taking physics. Researcher B's sample will consist only of the students in her class. Both researchers will construct a 95% confidence interval for the mean score on the physics final exam using their own sample data. Which researcher's method has a 95% chance of capturing the true mean of the population of all students taking physics?
Choose one answer.
- (a) Research B
- (b) Researcher A
- (c) Both methods have a 95% chance of capturing the true mean
- (d) Neither
2. A random sample of 150 UCLA students found that 35% of the respondants wanted a elevator to replace Bruin Walk. A 95% confidence interval for the percentage of all UCLA students who feel this way is approximately:
Choose one answer.
- (a) (24%, 46%)
- (b) (32%, 38%)
- (c) The sample size is too small to compute a confidence interval.
- (d) (27%, 43%)
3. According to Terry Prachett, the short unit of time in the multiverse is the New York second, defined as the time interval between the light turning green and the cab behind you honking. A magazine took a poll of 100 New Yorkers and found that 90 people agree with that statement wholeheartedly. Which of the following is a 90% confidence interval for the proportion of people who agree with that statement?
Choose one answer.
- (a) 0.9 +\- 0.50
- (b) 0.9 +\- .05
- (c) 0.9 +\- .03
- (d) 0.9 +\- .06
4. A national poll found that 62% of all Americans agreed that more attention should be paid to mental health of war veterans. If a simple random sample of 326 people was used to make a 95% confidence interval of (0.57,0.67), what is the margin of error?
Choose one answer.
- (a) 0.03
- (b) 0.05
- (c) 0.12
- (d) In order to calculate the margin of error, we need the p-value of the population.
5. Hermione Granger is on a mission this year to complain about the astronomical cost of wizarding books to the Hogwart board of administrators. Given that the population mean for book cost is 10 and a standard deviation of 2 galleons, If Hermione were to take a simple random sample of 49 students and make a 68% confidence interval, what would be the range of values for the sample mean or Xbar?
Choose one answer.
- (a) 8 and 12 galleons
- (b) 9.4 and 10.6 galleons
- (c) 6 and 14 Galleons
- (d) 9.7 and 10.3 galleons
6. A 95% confidence interval indicates that:
Choose one answer:
- (a) 95% of the intervals constructed using this process based on samples from this population will include the population mean
- (b) 95% of the time the interval will include the sample mean
- (c) 95% of the possible population means will be included by the interval
- (d) 95% of the possible sample means will be included by the interval
7. Suppose we want to find out if a coin is not fair. To test this hypothesis we flip the coin 100 times, and in 63 out of 100 flips we get heads. We construct the confidence interval and find it to be (.53,.73). Interpret this confidence interval.
Choose one answer.
- (a) 95 is the Z score that corresponds to our distribution of sample means
- (b) Confidence is something you learn at fraternity parties
- (c) 95% of the time the true proportion of flips that are heads is between .53 and .73
- (d) If we were to repeat this expirement over and over again, 95 times out of 100 our Confidence interval would cover the true proportion of flips that are heads
8. A 95% confidence interval is calculated for a sample of weights of 100 randomly selected pigs, and is (42 pounds, 48 pounds). Will the sample mean weight fall within the confidence interval?
Choose one answer.
- (a) Yes
- (b) We need more information to determine if this is true.
- (c) No
9. The average number of fruit candies in a large bag is estimated. The 95% confidence interval is (40, 48). Based on this information, you know that the best estimate of the population mean is:
Choose one answer.
- (a) 43
- (b) 40
- (c) 45
- (d) none of the above.
- (e) 44
10. Suppose we plan to take a random sample of adults in the U.S. and determine the percent of them who have attended church in the last 30 days. We calculate a 90% confidence interval for the proportion of all adults in the U.S. who attended church in the last 30 days. Which of the following changes in our plans would result in a wider confidence interval? Check all that apply.
Choose one answer.
- (a) Using an 85% confidence level.
- (b) Using a 95% confidence level.
- (c) Using a larger sample.
- (d) Using a smaller sample.
11. Kevin has always, ever since he was a wee lad, wondered what proportion of the candies in M&M chocolate candies bags are yellow. However, his persistent calls to the M&M headquarter were of no avail. Now that he wields the awesome power of being a TA for Stat 10, he makes each of his 200 students go buy a M&M bag, count the colors, and compute a 99% confidence intervals for the yellow candy proportion. Assume that each M&M bag is a random sample, approximately how many of the 200 confidence intervals will not capture the true population proportion for yellow M&M's?
Choose one answer.
- (a) Not enough information for an answer
- (b) 0 to 4
- (c) 4 to 8
- (d) 12 to 14
- (e) 8 to 12
12. A 95% confidence interval for the proportion of U.S. adults who favor the death penalty is given by (0.03, 0.09). Is the following statement true or false?
"There is a 95% probability that an adult in the US is in favor of the death penalty."
- (a) True
- (b) False
Multiple Regression
XI. Analysis of Variance (ANOVA)
One-Way ANOVA
Two-Way ANOVA
XII. Non-Parametric Inference
Differences of Medians (Centers) of Two Paired Samples
Differences of Medians (Centers) of Two Independent Samples
Differences of Proportions of Two Samples
Differences of Means of Several Independent Samples
Differences of Variances of Independent Samples (Variance Homogeneity)
XIII. Multinomial Experiments and Contingency Tables
Multinomial Experiments: Goodness-of-Fit
Contingency Tables: Independence and Homogeneity
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"Our mission is to support USA families and jobs by producing high-quality clothing in the USA at an affordable price. By keeping our production in the USA we provide jobs and a tax base that supports our communities."
"We care about our country and the people in it; if we were only in it for money we would move our production overseas. We will NOT trade USA jobs for foreign profits..."
The Birth of an American Company
It was 2002, Lawson Nickol had a job he enjoyed and an income that supported his family. Looking down the road he saw promise of a comfortable retirement. But he didn't foresee the approaching bump in the road. As a sales manager for a USA jeans manufacturer, he believed he was doing the right thing by selling a product that was as American as "apple pie and baseball". One evening while shopping in a retail store he discovered his company's label on a pair of jeans; a style he had not seen before. His initial reaction was "great, our retail division has branched into chain stores and that means healthy growth. This is good!" Wrong.... unfortunately that bump in the road had just arrived. Lawson noticed the label indicated "Made in Mexico". With a frantic and disappointing call to headquarters he confirmed the tag was accurate. Suddenly there was a disturbing realization; his employer had begun to outsource.
What he did about it: The thought of sending jobs outside our borders didn't sit well with Lawson and he was certain it would not be acceptable to the USA labor market where he had sold for years. His passion and reputation was built by offering quality USA Made jeans. This discovery was devastating. Within days he turned in his resignation.
A hope and a dream: Lawson could not let his employer ruin his reputation or let greed crush his passion for supporting American workers and his family. He decided he must continue to support USA made and the loyal clients that still want to buy USA, even if he had to make the jeans himself....and that was the beginning of All American Clothing Co. The first several years were tough, the company survived on family savings, taking financial risks and working long hours. Yet each year the company continued to grow. The dream came true....Today, All American Clothing Co. produces thousands of jeans per year and continues to provide many Americans with jobs!
Thank you: The Nickol family continues to operate the company that supplies patrons with products that you can be proud to wear. The family and the employees believe "The USA label will always stay on our jeans because you and we understand the importance of USA Made". When you buy a pair of All American Jeans our label also means; Thank you from us, our employees and the people in our country who still have good jobs due to folks like you. Thank you from all of us.
Our Success Formula
- First and foremost all thanks and glory be to God.
- People. We create an environment that encourages creativity, passion and pride to be part of a USA company.
- Our motto, "Make Something Happen Today, Every Day" We encourage employees to take risks, suggest ideas, get outside of the box to save a customer or gain a new one.
- World Class Service: whether the customer is right or wrong we strive to exceed customer expectations and provide them with nothing less than world class service!
- We accept nothing less than exceptional product quality.
- We send the message to employees and patrons that as USA Made entrepreneurs "it is not all about money". It is about standards of living, education, global security, employee's jobs, well being of families and the future of new generations. It is also about helping our neighbor and the truly needy.
- Be unique. Do something different from the rest of the crowd. It is not our goal to compete against the company down the street or across the border.
- Listen to the patrons who want/need to talk. It is their country and we are one of their heroes. We support the Made in USA principles and USA citizenship.
- Listen to employees. Listening to ideas and/or complaints is extremely important. The company is a large part of their life. They want/need to be a part of the company and its success in goodwill, job creation, job satisfaction and positive attitudes.
- Make it and buy it in the United States of America.
Why Shop with us?
We offer a unique shopping experience in the fact that EVERYTHING we carry is MADE IN THE USA and backed by our "All American Guarantee." If you aren't 100% satisfied, return any item within 60 days for a refund or exchange....NO QUESTIONS ASKED!
Your Privacy is protected and respected! We do not sell or share your information with any other company/individual for ANY reason. We use 128 bit SSL encryption to secure all transactions on our website and we are tested daily by McAfee to ensure the highest levels of security. If you signed up for our newsletter, we will NOT load up your inbox every week with junk mail and we NEVER share your information with anyone else.
We offer a unique "wearing experience" with proven comfort and durability, check out our "All American Jeans". We sew a diamond shaped piece of denim into the crotch of the jean which eliminates 4 seams coming together in one place and forming a knot. The gusset helps disperse stress around the crotch area creating a more durable jean with a comfortable fit and freedom of movement. Don't believe us?? Try a pair....If you aren't 100% satisfied you can return your jeans within 60 days for a refund or exchange.
You are supporting USA families and the future of our great country!
You always bend over backwards to help me, Bethany is the best customer relation representative I have ever known.- B. Floyd
I just received my order, and I really like the gusset jeans. I would like to order 4 or 5 more pairs! - M. Matteson
I just got back from my 3rd deployment to Iraq. What you're doing means a lot. It's good to see there are some good people left in this country. It makes our sacrifice worth while......... M. Barton -USMC
I purchased from you two years ago and I can say after many many times of being run thru my washer and dryer, they are holding up excellent! The jeans hold up far better than jeans previously purchased from other retailers! - B.Mullin
I have bought several items and am extremely pleased with the quality. -David
You are amazing!!! That's the fastest response I've ever received from a company! Thanks. By the way, our union loves the tee shirts!! -Debra
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As used in this policy, the terms "using" and "processing" information include using cookies on a computer, subjecting the information to statistical or other analysis and using or handling information in any way, including, but not limited to, collecting, storing, evaluating, modifying, deleting, using, combining, disclosing and transferring information within our company or among our affiliates within the United States or internationally.
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30×60 Wedding Tent Package for 100 Guests
30 x 60 Wedding Tent Package for 100 Guests
Wedding Tents allow people who love the outdoors to build an outdoor banquet hall. It would be difficult to create the ambiance of an outdoor wedding indoors.
Our wedding tents are available in a variety of sizes ranging from 20 feet wide to 60 feet wide. Listed below are our most popular Wedding Tent Packages. Each tent package is a starting point to customize to your special event.


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Whitingham, Vermont
|This article is a stub. Help us to expand it by contributing your knowledge. For county and town page guidelines, visit U.S. County Page Content Suggestions.
Whitingham is a town in Windham county, Vermont. It was formed in 1770 in N.Y. The probate district for Whitingham is Marlboro, while the court district is Windham. For more information, contact the town at 2948 VT Rt. 100, P.O. Box 529, Whitingham 05361. On the attached map, Whitingham is shown as 20 in Windham county.
For information about the state of Vermont see Vermont Family History Research.