In a one-way ANOVA, if the sum of squares for error (SSE) is large relative to the sum of squares for treatments (SST), this is an indication that the population means are likely to be different.

Question

Quizplus · Accepted Answer

If the SSE is much larger than SST, it suggests that the variations in the data are mostly due to random error rather than treatments. This means that there is less evidence to support the idea that the population means are different.

In a One-Way ANOVA, If the Sum of Squares for Error