The mean square error (MS_error) is a measure of A) how different the group means are. B) whether the dependent variable was measured incorrectly. C) how much variability there is within each group. D) whether the ANOVA is significant.

Question

Quizplus · Accepted Answer

The mean square error (MS_error) is calculated by dividing the sum of squares within groups (S_error) by the degrees of freedom within groups. This value represents the amount of variability within each group, or the average amount of error in predicting an individual score from the group mean. Thus, C is the best choice as it accurately describes the measure of MS_error.

The Mean Square Error (MSerror) Is a Measure of

The Mean Square Error (MS_error) Is a Measure of