In: Statistics and Probability
The within-groups estimate of variance is the estimate of the variance of the population of individuals based on the variation among the:
Group of answer choices
Scores in each of the actual groups studied
Mean of the groups minus the mean of the scores of the actual groups
Equal to the between-groups estimate of population variance
Means of the groups studied
The within-groups estimate of variance is the estimate of the variance of the population of individuals based on the variation among the:
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It is also called error variance. This estimate independently looks at the scores within each sample. So if there are for example 4 groups :A,B ,C ,D and each group has about 20 scores, then within group variances would mean the variance between 20 scores in group A independent of B, C or D. Same for individual B and C and D.
Scores in each of the actual groups studied
This matches the definition
Mean of the groups minus the mean of the scores of the actual groups
This is grand mean minus individual means which is not the formula.
Equal to the between-groups estimate of population variance
this is variance between groups al together. Not same as within instead their total gives the total variation.
Means of the groups studied
means are a part of calculation of within variance.