PSY 2106 Chapter Notes - Chapter 4: Squared Deviations From The Mean, Standard Deviation, Statistic

• School: University of Ottawa
• Department: Psychology
• Course: PSY 2106
• Professor: Guilliaume Durand

Document Summary

Provides a quantitative measure of the differences between scores in a distribution and describes the degree to which the scores are spread out or clustered together. The square root of the variance and provides a measure of the standard/average distance from the mean. The sum of the squared deviation scores. Determine the number of scores in the sample that are independent and free to vary. The average value of the statistic is equal to the population parameter. The average value of the statistic either underestimates or overestimates the corresponding population parameter. Step one : finding the standard distance from the mean by determining the deviation. For a distribution of scores with = 50, if your score is x = 53, then you deviation score is: Step two : calculate the mean of deviation scores: We start with the following set of n = 4 scores. These scores add up to x = 12.