As mean square error decreases,power decreases.

Question

Quizplus · Accepted Answer

Mean square error (MSE) is a measure of the average of the squares of the errors—that is, the average squared difference between the estimated values and the actual value. A decrease in MSE indicates an improvement in the accuracy of the estimates. Power, in statistical terms, refers to the probability that the test correctly rejects a false null hypothesis (i.e., detects an effect when there is one). The power of a test is influenced by several factors, including the sample size, the effect size, and the significance level, but not directly by the mean square error of the estimates.

As Mean Square Error Decreases,power Decreases