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Measures of Dispersion. as with averages, researchers need to transform data into a form conducive to interpretation, comparisons, and statistical analysis measures of dispersion summarize differences in the data, how the numbers differ from one another. Three Common Measures of Dispersion.
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Measures of Dispersion • as with averages, researchers need to transform data into a form conducive to interpretation, comparisons, and statistical analysis • measures of dispersion summarize differences in the data, how the numbers differ from one another.
Three Common Measuresof Dispersion • range • variance • standard deviation
range • the simplest measure of dispersion • represents the distance between the highest and lowest scores • sensitive to extreme scores • insensitive to differences between scores within a distribution Golf Scores 102 97 89 78 77 76 68 range = 34
variance • indicates the amount of variation or variability in a distribution • defined as “the average of the sum of the squared deviations” • “good” variance (between group) versus “bad” variance (within group)
standard deviation • the most sensitive measure of dispersion • the standard deviation reflects the average amount of dispersion in a distribution • defined as the square root of the variance • standard deviations and significance tests