MSA (mean square due to factor) is an unbiased estimator of the common variance σ2 if:

Name: MSA (mean square due to factor) is an unbiased estimator of the common variance σ2 if:
Brand: Quizplus
Rating: 4.9 (58 reviews)

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