Given that the sum of squares for error (SSE) for an ANOVA F-test is 12,000 and there are 40 total experimental units with eight total treatments, find the mean square for error (MSE).
A) 375
B) 300
C) 308
D) 400

Question

Quizplus · Accepted Answer

The mean square for error (MSE) is calculated by dividing the sum of squares for error (SSE) by the degrees of freedom for error (dfE). The degrees of freedom for error is calculated as the total number of experimental units minus the number of treatments: dfE = 40 - 8 = 32. Therefore, MSE = 12,000 / 32 = 375.

Given That the Sum of Squares for Error (SSE) for an ANOVA