For a given level of significance,if the sample size is increased but the summary statistics remain the same,the power of the test will increase.

Question

Quizplus · Accepted Answer

The power of a statistical test depends on various factors, including the level of significance, sample size, and effect size. When the sample size is increased while keeping the other factors constant, the power of the test increases. This is because a larger sample size provides more information and reduces the probability of making a Type II error (false negative).

For a Given Level of Significance,if the Sample Size Is