MSA (mean square due to factor) is an unbiased estimator of the common variance σ2 if:
A) the population means are different.
B) H₀ is true in reality.
C) H₀ is rejected.
D) the assumption of normality is met.

Question

Quizplus · Accepted Answer

MSA is an unbiased estimator of the common variance σ2 under the null hypothesis (H₀) that all group means are equal. If H₀ is true, the variation among group means primarily reflects sampling variability, not actual differences, making MSA a good estimator of σ2.

MSA (Mean Square Due to Factor) Is an Unbiased Estimator