The sum of the differences between observed values and the group mean for a given set of observations is known as the:
A)within-group error
B)between-groups variance
C)F-ratio
D)γ statistic

Question

Quizplus · Accepted Answer

The within-group error is a measure of the variation within each group or sample. It is calculated as the sum of the differences between each individual observation and the mean of its respective group. This measure is important in determining the overall variability of the data and in assessing the performance of different statistical models. The other options, between-groups variance, F-ratio, and γ statistic, are also important measures in statistical analysis, but they are not the best choice for this question as they do not specifically refer to the sum of differences between each observation and the group mean.

The Sum of the Differences Between Observed Values and the Group