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2 | 1 | standard deviation | indicated how far away scores tend to be from the mean, on average. only appropriate for interval or ratio scale variables | a computed measure of how much scores vary around the mean score -(extent that measurements differ) range (diff between high and low), standard deviation |
0 | 0 | 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 | 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 |
2 | 1 | standard deviation | a measure of how much variation there is from the mean; calculating it uses every score in the set of data | estimates the spread of the scores away from the mean ***most common measure |
3 | 1 | standard deviation | measures average deviation of score from the mean | average deviation of scores on either side of the mean |
3 | 1 | standard deviation | a measure of variation (or variability) that indicates the typical distance between the scores of a distribution and the mean. | in descriptive statistics, a measure of variability that indicates the average extent to which all the scores in a distribution vary from the mean |
1 | 0 | standard deviation | -calculated by taking the square root of the variance -spread of scores around the mean and acceptable wiggle room from the mean | a measure of the extent to which a set of scores vary on either side of their mean vale (square root of variance) |
0 | 0 | standard deviation | doesn't give you full range of data difficult to calculate assumes a normal distribution pattern only use with an independent variable plotted against its frequency | measures variability around the mean, affected by outliers, appropriately applied only to continuous data that are normally distributed or that can be transformed to be normally distributed |
3 | 1 | standard deviation | measure of variability that describes the average distance from the mean; obtained by taking the square root of the variance | dispersion directly related to variance the average distance values are from the mean find by taking the square root of the variance |
2 | 1 | standard deviation | a measurement of how much scores vary from the mean score | an average distance of every score from the mean |
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. | a popular measure of variability, is calculated based on the distance/dispersion of individual observations from their means |
2 | 1 | standard deviation | the measure of the spread of data around the mean (because the mean won't always give us enough information) | tells us how much, on average, the scores deviate from the mean |
1 | 0 | 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 | a computed measure of how much scores vary around the mean score -(extent that measurements differ) range (diff between high and low), standard deviation |
1 | 0 | standard deviation | the square root of variance; a computed measure of how far data values are from their mean | square root of the variance ** expressed in same unit as random variable ** |
3 | 1 | standard deviation | a computed measure of how much scores vary around the mean score(uni-variate data, measure of spread) | - average of all variance scores (data points are from the mean) - standard distance from the mean |
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) | measures the difference between every score and their mean |
2 | 1 | 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 spread of the data; large sdev means larger variability |
2 | 1 | standard deviation | a statistical measure that shows the average amount that values vary (aka &"dispersion&") from 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 |
2 | 1 | standard deviation | indicates a degree of data variability a higher standard deviation means there is more variability which means there is a lot lower and higher data | a calculation of the average difference between each score in the data set and the mean. bigger values indicate greater variation. |
3 | 1 | standard deviation | the square root of the variance, provides a measure of the standard, or average distance from the mean | a measure of variability that describes an average distance of every score from the mean. calculated as the square root of sd^2 (variance). |
3 | 1 | standard deviation | a measure of variability that describes an average distance of every score from the mean (normal distribution) | measures the average distance from the mean |
0 | 0 | standard deviation | variance is expressed in square units, standard deviation is not. equation is the square root of the variance equation. standard deviation tells you about the variation in a sample | is calculated, very simply, as the square root of the variance, as shown in figure 3-5. |
2 | 1 | standard deviation | measure of spread, value of error bars | spread of data in accordance to distance from the mean (square root of variance) |
1 | 0 | standard deviation | is a measure of variability that indicates the typical distance between a set of scores of a distribution and the mean, or average, score. | associated with precision measure of the actual spread in the data set, how much data differs from one another |
2 | 1 | standard deviation | quantity calculated to indicate the extent of deviation for a data set as a whole. | a computed measure of how much scores vary around the mean score...used only with interval or ratio scale data |
3 | 1 | standard deviation | a measure of the dispersion of a set of data from its mean; expresses the variability of a population or set of data. | frequently used measure of the variability in a set of data |
3 | 1 | standard deviation | a measure of how spread out numbers are within a population or sample. the more spread apart the data, the higher the deviation. | one number that describes the spread in a set of data. if the data points are close together, the standard deviation will be smaller than if they are spread out. |
2 | 1 | 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 | a descriptive statistic that portrays how far away from the mean individual scores on average are located. |
3 | 1 | standard deviation | how far away your data is from mean (average score) | the amount scores vary around 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 | the square root of the variance -provides a measure of the standard (average) distance from the mean (smaller = less scatter, more precision) |
1 | 0 | standard deviation | indicates a degree of data variability a higher standard deviation means there is more variability which means there is a lot lower and higher data | average amount either above or below the mean that the data deviate from the mean |
3 | 1 | standard deviation | distance from mean; square root of average squared deviation | deviation of scores around the mean (square root of variance) |
3 | 1 | standard deviation | an indication of how much individual scores differ or vary from the mean. | measure of variability that takes into account how far each data point is from the mean |
2 | 1 | standard deviation | s; measures how closely the data are clustered about the mean (lower the number, the more closely the data are clustered about the mean | a statistic measuring how closely data are clustered about the mean value. |
2 | 1 | standard deviation | measure of how spread out values are from the mean (standard deviation represented by greek letter sigma) | a measure of how much a typical value in the data set differs from the mean (a.k.a. average). represented by the greek alphabet σ (read aloud as &"sigma&") |
2 | 1 | standard deviation | the average difference between each score and the mean for that data set. measures how closely related the data points are to each other | - an index of the degree of variability of study data around the mean of those data |
2 | 1 | standard deviation | a measure of variability computed by taking the positive square root of the variance | square root of the variance is often used for statistical applications |
2 | 1 | standard deviation | average amount all scores varied from the mean; most important statistic for organizing data | a measure of how far a piece of data is away from the average. |
2 | 1 | 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 | portrays how far away from the mean individual scores on average are located |
2 | 1 | standard deviation | a measure of variability that indicates the average differences between the scores and their mean | in descriptive statistics, a measure of variability that indicates the average extent to which all the scores in a distribution vary from the mean |
2 | 1 | standard deviation | measures the dispersion in a frequency distribution; average distance of cases from 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 | how data is dispersed or spread among the mean - how tightly data points are clustered around the mean | the measure of variation that tells you how tightly all of the cases are clustered around the mean |
1 | 0 | standard deviation | a number that tells how spread out data tend to be, it is a measure of how far numbers tend to be from their average. | indicates the spread of data relative to the mean; essentially shows where the bulk of the data would be found (68%, 1sd, 94% 2sd); can help to identify outliers |
2 | 1 | standard deviation | how scores vary from the mean | estimates the spread of the scores away from the mean ***most common measure |
2 | 1 | standard deviation | a measure of how spread out numbers are within a population or sample. the more spread apart the data, the higher the deviation. | a measure of how spread out the data are (that involves using the mean and a variety of calculations) |
3 | 1 | standard deviation | the average deviation of scores from the mean (the square root of the variance). | indicates that average deviation of from mean symbolized as s abbreviated sd |
3 | 1 | standard deviation | a descriptive statistic that 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 | - average of all variance scores (data points are from the mean) - standard distance from the mean | computed measure of how much scorews vary around the mean score (+/-) |
0 | 0 | standard deviation | the measure of the spread of all values in a series of observations is a known as the | the type of deviation used most often in the meteorological studies is the |
2 | 1 | standard deviation | a measure of variability that indicates how spread apart the numbers are in a distribution | representation of the variability or spread of the dataset; the amount the scores in a distribution deviate from the mean |
2 | 1 | standard deviation | how scores vary from the mean | 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 | is a measure of variability that indicates the typical distance between a set of scores of a distribution and the mean, or average, score. | a statistical measurement used to document the disparity between an individual's test score and the mean |
3 | 1 | standard deviation | average distance from mean to a certain score | the average of the deviation of each individual score around the mean |
3 | 1 | standard deviation | measure of spread of data points values around the mean square root of the &"variance&" | spread of data in accordance to distance from the mean (square root of variance) |
2 | 1 | standard deviation | a measure of variability that describes an average distance of every score from the mean, same units as the measurements | measure of dispersion around the mean for normally distributed continuous data; expresses variability within the sample |
2 | 1 | standard deviation | average amount all scores varied from the mean; most important statistic for organizing data | measures the difference between every score and their mean |
1 | 0 | standard deviation | the average distance each value is from the mean to determine the spread of the data | a measure of how different the individual data values are from the mean. |
3 | 1 | standard deviation | a measure of spread that describes an average distance of every score from the mean | measures the average distance from the mean |
2 | 1 | standard deviation | a statistic that shows the variation of values around the mean. | this shows the spread of all the values around the mean and therefore it has the same units as the values. |
3 | 1 | standard deviation | relates the average distance of any score from the mean | the average of the deviation of each individual score around the mean |
1 | 0 | standard deviation | how scores vary from the mean | 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. |
3 | 1 | standard deviation | the spread of data around the mean (average) - 68% of values are within 1 sd - 95% of values within 2 sd | a term used to summarize the spread of values around the mean. 68% fall within +/- 1 sd 95% fall within +/- 2 sd. |
3 | 1 | standard deviation | - symbolized as s - indicates the average deviation of scores from the mean - in scientific reports, it is abbreviated as sd | indicates that average deviation of from mean symbolized as s abbreviated sd |
2 | 1 | standard deviation | indicates a degree of data variability a higher standard deviation means there is more variability which means there is a lot lower and higher data | a low standard deviation means that most bumber are close to average and the error of the mean |
2 | 1 | standard deviation | average distance that the data values/scores are from the mean (x bar) *most common measure of spread | a measure of how spread out values are from the mean |
1 | 0 | standard deviation | the average difference between each score and the mean for that data set. measures how closely related the data points are to each other | the most frequently used statistic for designating the degree of variability in a set of scores. |
1 | 0 | standard deviation | measures variability by averaging dispersion of numbers around the mean | 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 |
2 | 1 | standard deviation | average amount all scores varied from the mean; most important statistic for organizing data | 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) |
2 | 1 | standard deviation | measures the average difference between each score in the mean of the data set | measures the difference between every score and their mean |
2 | 1 | standard deviation | a measure that describes how far off individual values are from the mean. | measures the typical distance of the values in a distribution from the mean (does depend on the actual values of the observations) |
2 | 1 | standard deviation | estimates the spread of the scores away from the mean ***most common measure | a popular measure of variability, is calculated based on the distance/dispersion of individual observations from their means |
3 | 1 | standard deviation | a measure of spread that describes an average distance of every score from the mean | a measure of variability that describes an average distance of every score from the mean (normal distribution) |
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 average amount that scores deviate from the mean (square root of the variance) |
0 | 0 | standard deviation | frequently used measure of the variability in a set of data | measurement of variability about the mean, can also be used to determine outliers |
1 | 0 | standard deviation | the standard deviation tells us how the whole collection of values varies, so it's a natural ruler for comparing an individual to a group. | the distance between the value and the mean |
2 | 1 | standard deviation | average measure of difference from the mean of the data (how spread out the data is) | a measure of how spread out values are from the mean |
3 | 1 | standard deviation | how tightly data points are clustered together around the mean | how the data is dispersed or spread around the mean |
2 | 1 | standard deviation | how various percentages of scores fall away from the mean. | the average distance values fall from the mean |
2 | 1 | standard deviation | estimates the spread of the scores away from the mean ***most common measure | is a measure of variability that indicates the typical distance between a set of scores of a distribution and the mean, or average, score. |
0 | 0 | standard deviation | indicates a degree of data variability a higher standard deviation means there is more variability which means there is a lot lower and higher data | average absolute difference between each data point and the mean set of data. large sd suggests high dispersion. s = sample standard deviation. σ = population standard deviation. |
1 | 0 | standard deviation | -square root of variance -common measure of consistency in business applications, such as quality control -measures the amount of variance around the mean | a statistic that measures the amount of data dispersion around the mean. |
3 | 1 | standard deviation | statistic used to descriptively analyze the spread of scores in a distribution; square root of the variance; measure of dispersion. | used to analyze descriptively the spread of scores in a distribution, the positive square root of variance. most common measure of dispersion. |
1 | 0 | standard deviation | measures variability by averaging dispersion of numbers around the mean | measure of dispersion around the mean for normally distributed continuous data; expresses variability within the sample |
2 | 1 | standard deviation | a measure of how far a piece of data is away from the average. | measures the difference between every score and their mean |
2 | 1 | standard deviation | measure to quantify the amount of variation or dispersion of a set of data values | -square root of variance -common measure of consistency in business applications, such as quality control -measures the amount of variance around the mean |
3 | 1 | standard deviation | a measure of the extent to which a set of scores vary on either side of their mean vale (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 |
1 | 0 | standard deviation | a popular measure of variability, is calculated based on the distance/dispersion of individual observations from their means | associated with precision measure of the actual spread in the data set, how much data differs from one another |
1 | 0 | standard deviation | -how much scored deviate form the man, positive square roof of variance. -the bigger the standard deviation, the wider the range. | square root of the variance -how much each score deviates 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 the data are (that involves using the mean and a variety of calculations) |
2 | 1 | standard deviation | on average, how far each value is from the mean | the spread of the values around the mean -affected by outliers -smaller = more consistency |
1 | 0 | standard deviation | average absolute difference between each data point and the mean set of data. large sd suggests high dispersion. s = sample standard deviation. σ = population standard deviation. | a calculation of the average difference between each score in the data set and the mean. bigger values indicate greater variation. |
2 | 1 | standard deviation | - measures how much the scores vary from the mean - percentages stay the same in every curve | a computed measure of how much scores vary around the mean score -(extent that measurements differ) range (diff between high and low), standard deviation |
2 | 1 | standard deviation | most frequently used measure of variability provides overall measurement of how participants scores differ from mean score of group | -describes how far the majority of scores fall from the mean. -sd is the average distance the data are 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 measure of how much variation there is from the mean; calculating it uses every score in the set of data |
1 | 0 | standard deviation | it is a descriptive statistic — which is a measure of dispersion, or spread — of sampled data around the mean. | this is the most widely used measure of variability in descriptive statistics. it is easy to interpret and is the most preferred measure for dispersion for frequency distributions: |
1 | 0 | standard deviation | an estimate of how widely the scores are spread around the mean in a frequency distribution | a measure of variability that indicates how spread apart the numbers are in a distribution |
3 | 1 | standard deviation | a measure of dispersion that indicates how much the cores in a sample differ from the mean in the sample | the measure of the dispersion of individual scores around our sample mean |
3 | 1 | standard deviation | s sd indicates the average deviation of scores from the mean | the average deviation of scores from the mean (the square root of the variance). |
3 | 1 | standard deviation | the average amount that scores deviate from the mean (square root of the variance) | represents the &"average&" deviation from the mean. calculated as the square root of the variance. |
1 | 0 | standard deviation | how scores vary from the mean | associated with precision measure of the actual spread in the data set, how much data differs from one another |
3 | 1 | standard deviation | how tightly data points are clustered together around the mean | the measure of variation that tells you how tightly all of the cases are clustered around the mean |
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