In the one-way ANOVA, the total variability is expressed as a sum of variabilities about different mean values.These component variabilities are called:
A) SSA (sum of squares due to analysis) and SSE (sum of squares due to error).
B) SST (total sum of squares) and SSE (sum of squares due to error).
C) SSR (sum of squares due to regression) and SST (total sum of squares).
D) SSA (sum of squares due to factor) and SSE (sum of squares due to error).

Question

Quizplus · Accepted Answer

In one-way ANOVA, the total variability is partitioned into two components: the variability due to differences among group means (SSA: sum of squares due to factor) and the variability within groups (SSE: sum of squares due to error).

In the One-Way ANOVA, the Total Variability Is Expressed as a Sum