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)400
B)375
C)308
D)300

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 total number of treatments (dfE = N - T), where N is the total number of experimental units and T is the total number of treatments. In this case, dfE = 40 - 8 = 32. Therefore, MSE = SSE / dfE = 12,000 / 32 = 375.

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