When conducting a hypothesis test about a population mean,other relevant factors held constant,increasing the level of significance from .05 to .10 will reduce the probability of a Type II error.

Question

Quizplus · Accepted Answer

When the level of significance is increased from .05 to .10, the critical value of the test statistic decreases, which leads to a larger rejection region. This means that the null hypothesis will be rejected more often, increasing the probability of a Type I error. However, since the sum of the probabilities of a Type I and Type II error equals 1, increasing the probability of a Type I error results in a decrease in the probability of a Type II error. Therefore, by increasing the level of significance, the probability of a Type II error is reduced.

When Conducting a Hypothesis Test About a Population Mean,other Relevant