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2 | 1 | standard deviation | computed measure of how much scores vary around the mean score (ex: pg 59) | better measure of how scores deviate from one another, how scores differ from the mean |
1 | 0 | standard deviation | measure of how much all scores tend to vary from the sample mean. s=√Σ(x-m)/n | calculated measure that provides info on how much the data are spread around the mean (so deals with precision) helps filter out biological noise |
2 | 1 | standard deviation | represent the typical distance a score is from the mean; used for interval/ratio data only. | measures the average distance from the mean |
2 | 1 | standard deviation | a measure of how spread out numbers are. allows a &"standard&" way to know what is &"normal&" in a data set. | a measure of how spread out the data are (that involves using the mean and a variety of calculations) |
3 | 1 | standard deviation | a statistical measure that shows the average amount that values vary (aka &"dispersion&") from the mean. | the most widely used measure of dispersion, it represents the average amount of variation around the mean |
2 | 1 | standard deviation | typical divergence away from the mean | measures the variability in a set of data - shows, on average, how far away the data values are from the mean |
3 | 1 | standard deviation | -measure of the average deviation (units) of each score from the mean -square root of variance | measure of how much all scores tend to vary from the sample mean. the square root of the average squared deviation from the mean |
2 | 1 | standard deviation | the square root of the variance standard deviation = variance ^2 | is calculated, very simply, as the square root of the variance, as shown in figure 3-5. |
3 | 1 | standard deviation | the measure of the approximate average amount scores in a distribution deviate from the mean. distribution with a larger standard deviation have more spread. | measure of dispersion around the mean for normally distributed continuous data; expresses variability within the sample |
2 | 1 | standard deviation | measures the average difference between each score in the mean of the data set | a measure of how far a piece of data is away from the average. |
3 | 1 | standard deviation | the square root of variance; a computed measure of how far data values are from their mean | this is a measure of dispersion that calculates the square root of the variance. |
1 | 0 | standard deviation | measure of dispersion centered around a mean. two types 1) continuous: generally steady progression and 2) discrete: attributes are separate from one another | a summarization of values around the mean. within a normal distribution, approximately 68% and 95% fall within + or - 1 or 2 standard deviation points respectively. |
1 | 0 | standard deviation | a measure of variability that describes an average distance of every score from the mean (normal distribution) | - measure of average distance from the mean - most frequently used measure of variability |
1 | 0 | standard deviation | measures the average difference between each score in the mean of the data set | average amount all scores varied from the mean; most important statistic for organizing data |
0 | 0 | standard deviation | a measure of variability that describes an average distance of every score from the mean the larger the sd, the more variable the scores | variability or dispersion of scores around the mean, represented by &"s&" |
1 | 0 | standard deviation | the square root of the variance (s) provides a measure of the standard/average, distance from the mean always 0 or a positive number | measure of variability that describes the average distance from the mean; obtained by taking the square root of the variance |
1 | 0 | standard deviation | a computed measure of how much scores vary around the mean score. with more accurate technology, bump in deviation can go from large to incredibly thin minimizing average error. | associated with precision measure of the actual spread in the data set, how much data differs from one another |
3 | 1 | standard deviation | a measure of variation that describes how the data deviates from the mean of the data. | precision estimate of how deviated each individual data is from the mean |
2 | 1 | standard deviation | a measure of spread that describes an average distance of every score from the mean | represent the typical distance a score is from the mean; used for interval/ratio data only. |
2 | 1 | standard deviation | -indicates the average deviation of scores from the mean -appropriate only for interval and ratio scale variables | indicates that average deviation of from mean symbolized as s abbreviated sd |
1 | 0 | standard deviation | a calculation of the average difference between each score in the data set and the mean. bigger values indicate greater variation. | a low standard deviation means that most bumber are close to average and the error of the mean |
2 | 1 | standard deviation | a measure of how spread out the data are, distance from the mean how spread out the bell is in a frequency distribution | a measure of how spread out numbers are. allows a &"standard&" way to know what is &"normal&" in a data set. |
2 | 1 | standard deviation | calculated measure that provides info on how much the data are spread around the mean (so deals with precision) helps filter out biological noise | estimates the spread of the scores away from the mean ***most common measure |
0 | 0 | standard deviation | - about 2/3 (68%) of all observations in a normal distribution lie within 1 sd of the mean | indicates degree of dispersion about the mean value of distribution curve of a normal distribution as it falls away from its peak on either side |
3 | 1 | standard deviation | a measure of variability that is equal to the square root of the variance. | a statistical measure of the amount of dispersion in a set of scores, square root of the variance |
1 | 0 | standard deviation | square root of variance, indicates variability about the mean | a measure of variability that describes the deviation from the mean of a frequency distribution in the original units of measurement; the square root of the variance |
1 | 0 | standard deviation | measures the variability within a single sample; can use the standard error of the mean to determine how precisely he mean of the sample estimates the population mean | the measure of the approximate average amount scores in a distribution deviate from the mean. distribution with a larger standard deviation have more spread. |
3 | 1 | standard deviation | an estimate of how widely the scores are spread around the mean in a frequency distribution | representation of the variability or spread of the dataset; the amount the scores in a distribution deviate from the mean |
0 | 0 | standard deviation | calculated measure that provides info on how much the data are spread around the mean (so deals with precision) helps filter out biological noise | a statistical measurement used to document the disparity between an individual's test score and the mean |
2 | 1 | standard deviation | the measure of variation that tells you how tightly all of the cases are clustered around the mean | how the data is dispersed or spread around the mean |
3 | 1 | standard deviation | measures the dispersion in a frequency distribution; average distance of cases from mean | measures variability by averaging dispersion of numbers around the mean |
1 | 0 | standard deviation | portrays how far away from the mean individual scores on average are located | tells you the typical difference between any one score and the mean of all scores |
1 | 0 | standard deviation | .the average distance from the mean (portrays how far away from the median individual scores on average are located) .the square root of the variance | tells you the typical difference between any one score and the mean of all scores |
0 | 0 | standard deviation | calculated measure that provides info on how much the data are spread around the mean (so deals with precision) helps filter out biological noise | associated with precision measure of the actual spread in the data set, how much data differs from one another |
2 | 1 | standard deviation | average expected variation of scores within the group. | average expected variation of scores eithin the group. about 68% of scores will typically fall between m+/- sd. |
2 | 1 | standard deviation | the average amount of error between the mean and the observed scores in the data. the square root of the variance and a measure of dispersion. | the typical deviation between an individual score and the group mean sd = square root of the variance |
1 | 0 | standard deviation | estimates the spread of the scores away from the mean ***most common measure | a statistical measurement used to document the disparity between an individual's test score and the mean |
2 | 1 | standard deviation | calculated measure that provides info on how much the data are spread around the mean (so deals with precision) helps filter out biological noise | amount by which the scores vary from the mean. a higher means there is more variation in the scores |
1 | 0 | standard deviation | average distance of scores from mean | a computed measured of how much scores vary around the mean score |
1 | 0 | standard deviation | a computed measure of how much scores vary around the mean score...used only with interval or ratio scale data | a measure of dispersion of a data set, that is the square root of the variance. |
3 | 1 | standard deviation | how far, on average, each score was from the mean | the average measure of how much each score differs from the mean. |
2 | 1 | standard deviation | average deviation of each score from the mean | a computed measure of how much scores deviate from the mean score |
3 | 1 | standard deviation | how far scores deviate from the mean | a measure of the amount of variation in a set of scores - the typical amount by which scores deviate from the mean. |
2 | 1 | standard deviation | a measure of how spread out the data are, distance from the mean how spread out the bell is in a frequency distribution | a measure of how spread out numbers are within a population or sample. the more spread apart the data, the higher the deviation. |
1 | 0 | standard deviation | a measure of variability that describes an average distance of every score from the mean, same units as the measurements | measures the variability within a single sample; can use the standard error of the mean to determine how precisely he mean of the sample estimates the population mean |
0 | 0 | standard deviation | a computed measure of how much scores vary around the mean score. with more accurate technology, bump in deviation can go from large to incredibly thin minimizing average error. | a statistical measurement used to document the disparity between an individual's test score and the mean |
2 | 1 | standard deviation | amount by which the scores vary from the mean. a higher means there is more variation in the scores | is a measure of variability that indicates the typical distance between a set of scores of a distribution and the mean, or average, score. |
3 | 1 | standard deviation | the square root of the 'average' of each score's squared deviation from the mean score. (square root of the variance) | deviation of scores around the mean (square root of variance) |
2 | 1 | standard deviation | a measure that is used to quantify the amount of variation or dispersion of a set of data values (want within six standard deviation of the mean) | quantity amount of variation of a set of data |
2 | 1 | standard deviation | how far away your data is from mean (average score) | measures how much the scores vary from the mean. the percentages stay the same in every curve. used to compare scores |
0 | 0 | standard deviation | the most frequently used statistic for designating the degree of variability in a set of scores. | the average distance of data points from the mean |
2 | 1 | standard deviation | a popular measure of variability, is calculated based on the distance/dispersion of individual observations from their means | a statistical measurement used to document the disparity between an individual's test score and the mean |
3 | 1 | standard deviation | the square root of the variance (it is the typical distance of scores from the mean) | deviation of scores around the mean (square root of variance) |
2 | 1 | standard deviation | the square root of the variance. this measures how spread out the data are from the mean. | a measure of how spread out the data is from the mean and is useful for data that is fairly symmetric; the square root of variance |
2 | 1 | standard deviation | measures the variability within a single sample; can use the standard error of the mean to determine how precisely he mean of the sample estimates the population mean | measure of dispersion around the mean for normally distributed continuous data; expresses variability within the sample |
0 | 0 | standard deviation | the most common measure of spread that indicates how far each observation is from the mean | - measures spread around mean - must have at least 5 trials - assume: 1) normal distribution of values around mean 2) data not skewed to either end |
1 | 0 | standard deviation | the &"average&" scatter away from the mean. it is also the square root of the variance | measure shows how much variability there is in scores -> looks at the scores at each end of a distribution |
3 | 1 | standard deviation | relates the average distance of any score from the mean | average distance from mean to a certain score |
1 | 0 | standard deviation | square root of variance, indicates spread of the data; large sdev means larger variability | square root of the variance is often used for statistical applications |
3 | 1 | standard deviation | the most widely used measure of dispersion of a frequency distribution, equal to the positive square root of the variance. | used to analyze descriptively the spread of scores in a distribution, the positive square root of variance. most common measure of dispersion. |
2 | 1 | standard deviation | is a statistics that indicates the average amount of deviation of values from the mean score | average deviation of scores on either side of the mean |
2 | 1 | standard deviation | a measure that is used to quantify the amount of variation or dispersion of a set of data values (want within six standard deviation of the mean) | -square root of variance -common measure of consistency in business applications, such as quality control -measures the amount of variance around the mean |
2 | 1 | standard deviation | amount by which the scores vary from the mean. a higher means there is more variation in the scores | a statistical measurement used to document the disparity between an individual's test score and the mean |
2 | 1 | standard deviation | how scores vary from the mean | calculated measure that provides info on how much the data are spread around the mean (so deals with precision) helps filter out biological noise |
1 | 0 | standard deviation | amount by which the scores vary from the mean. a higher means there is more variation in the scores | associated with precision measure of the actual spread in the data set, how much data differs from one another |
2 | 1 | standard deviation | a measure of variability of the data points from their own mean. low = tighter distribution around the mean high = wider distribution around the mean | the most common measure of spread that indicates how far each observation is from the mean |
2 | 1 | standard deviation | a computed measure of how much scores vary around the mean score, about 68% and 95% of values are within one or two deviations | - measures how much the scores vary from the mean - percentages stay the same in every curve |
2 | 1 | standard deviation | how various percentages of scores fall away from the mean. | a computation that captures how far, on average, each score in a data set is from the mean. |
2 | 1 | standard deviation | a computed measure of how much scores vary around the mean score square root of (x-mean)squared divided by n-1 | 1.) sum of deviation squared / sample size 2.) find square root of above equation |
1 | 0 | standard deviation | a measure of how spread out the data are from the mean. | a measure of how spread out numbers are. allows a &"standard&" way to know what is &"normal&" in a data set. |
2 | 1 | standard deviation | represent the typical distance a score is from the mean; used for interval/ratio data only. | - measure of average distance from the mean - most frequently used measure of variability |
1 | 0 | standard deviation | the average distance of data points from the mean | - an index of the degree of variability of study data around the mean of those data |
1 | 0 | standard deviation | second measure of dispersion, which corrects for such outliers using a formula that takes into account how close or how far each value lands relative to the distribution mean | indicates a type of average amount by which all the values deviate from the mean - the greater the dispersion, the bigger this is |
3 | 1 | standard deviation | the square root of the variance, common way to indicate how different a particular measurement is from the mean | a commonly used measure of variation equal to the square root of variance represents variation around the sample mean |
2 | 1 | standard deviation | distance from the mean (square root of the variance) - measure of dispersion fro interval and ratio data | square root of the variance is often used for statistical applications |
2 | 1 | standard deviation | - average of all variance scores (data points are from the mean) - standard distance from the mean | a computed measure of how much scores vary around the mean score so avrg of the difference between any number and the mean |
2 | 1 | standard deviation | amount by which the scores vary from the mean. a higher means there is more variation in the scores | a popular measure of variability, is calculated based on the distance/dispersion of individual observations from their means |
1 | 0 | standard deviation | a computed measure of how much scores vary around the mean score. with more accurate technology, bump in deviation can go from large to incredibly thin minimizing average error. | is a measure of variability that indicates the typical distance between a set of scores of a distribution and the mean, or average, score. |
2 | 1 | standard deviation | a measure of variability that describes an average distance of every score from the mean (normal distribution) | represent the typical distance a score is from the mean; used for interval/ratio data only. |
2 | 1 | standard deviation | average distance from the mean for a set of scores becomes its own unit of measure (z-score-the # of standard deviations from the mean) | a measure of how far a piece of data is away from the average. |
3 | 1 | standard deviation | the most widely used measure of dispersion, it represents the average amount of variation around the mean | -most widely used variability index is standard deviation -calculated based on every vale in the distribution -summarizes the average amount of deviation of values from the mean |
0 | 0 | standard deviation | average amount either above or below the mean that the data deviate from the mean | a low standard deviation means that most bumber are close to average and the error of the mean |
3 | 1 | standard deviation | square root of the variance. provides exact distances from mean (unlike variance). illustrates how tightly data is clustered around mean. | measure of variability that describes the average distance from the mean; obtained by taking the square root of the variance |
3 | 1 | standard deviation | average distance of scores from mean | a measure of how close the scores are centered around the mean score. average amount that a given score deviates from the mean score |
0 | 0 | standard deviation | -from variance -square root of variance calculated more easily determined than variance -small data= #'s close to mean -large data=#'s far from mean (more variability) -coefficient of variation (cv) | square root of variance, indicates variability about the mean |
2 | 1 | standard deviation | how scores vary from the mean | a statistical measurement used to document the disparity between an individual's test score and the mean |
0 | 0 | standard deviation | &"s&" distance between mean and calculated amount of either side of mean (see p. 60) | technically the second moment calculated about the mean- scientists typically follow up on p values that are outside of 2 standard deviations from the mean. |
2 | 1 | standard deviation | used to measure variability of a data set. it is calculated as the square root of the variance of a set of data, | a computed measure of how much scores vary around the mean score...used only with interval or ratio scale data |
2 | 1 | standard deviation | quantity amount of variation of a set of data | a statistic that measures the amount of data dispersion around the mean. |
2 | 1 | standard deviation | average deviation of scores from the mean. square root of the variance. (becomes larger as more people have scores that lie farther from the mean value) | -measure of the average deviation (units) of each score from the mean -square root of variance |
3 | 1 | standard deviation | the square root of the variance (it is the typical distance of scores from the mean) | distance from mean; square root of average squared deviation |
2 | 1 | standard deviation | amount by which the scores vary from the mean. a higher means there is more variation in the scores | a computed measure of how much scores vary around the mean score. with more accurate technology, bump in deviation can go from large to incredibly thin minimizing average error. |
2 | 1 | standard deviation | average deviation of scores from the mean. square root of the variance. (becomes larger as more people have scores that lie farther from the mean value) | measure of how much all scores tend to vary from the sample mean. the square root of the average squared deviation from the mean |
2 | 1 | standard deviation | a measure of variability that describes an average distance of every score from the mean the larger the sd, the more variable the scores | -describes how far the majority of scores fall from the mean. -sd is the average distance the data are from the mean. |
3 | 1 | standard deviation | -calculated by taking the square root of the variance -spread of scores around the mean and acceptable wiggle room from the mean | measure of how much all scores tend to vary from the sample mean. the square root of the average squared deviation from the mean |
3 | 1 | standard deviation | a measure of variability that describes an average distance of every score from the mean, same units as the measurements | measures the dispersion in a frequency distribution; average distance of cases from mean |
3 | 1 | standard deviation | square root of the variance the farther away the data points on the distribution are form the mean, the greater the variance and standard deviation | indicates a type of average amount by which all the values deviate from the mean - the greater the dispersion, the bigger this is |
3 | 1 | standard deviation | used to measure variability of a data set. it is calculated as the square root of the variance of a set of data, | a measure of dispersion of a data set, that is the square root of the variance. |
2 | 1 | standard deviation | calculated measure that provides info on how much the data are spread around the mean (so deals with precision) helps filter out biological noise | is a measure of variability that indicates the typical distance between a set of scores of a distribution and the mean, or average, score. |
1 | 0 | standard deviation | measure of how much all scores tend to vary from the sample mean. s=√Σ(x-m)/n | a computed measure of how much scores vary around the mean score. with more accurate technology, bump in deviation can go from large to incredibly thin minimizing average error. |
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