In one-way ANOVA, the amount of total variation that is unexplained is measured by the:
A) sum of squares for treatments.
B) sum of squares for error.
C) total sum of squares.
D) number of degrees of freedom.

Question

Quizplus · Accepted Answer

The sum of squares for error reflects the amount of variation that is not accounted for by the treatment effects, and represents the variation that is due to chance or other factors not included in the model. The sum of squares for treatments reflects the amount of variation that is explained by the treatment effects. The total sum of squares is the sum of the sum of squares for treatments and the sum of squares for error, and represents the total amount of variation in the data. The number of degrees of freedom is a measure of the number of independent pieces of information available to estimate the population parameters, and is associated with each of the sums of squares.

In One-Way ANOVA, the Amount of Total Variation That Is