With all other factors held constant, the chance of committing a Type II error increases if the true population mean is closer to the hypothesized value .

Question

With all other factors held constant, the chance of committing a Type II error increases if the true population mean  is closer to the hypothesized value  .

Quizplus · Accepted Answer

When the true population mean is closer to the hypothesized value, it means that the difference between the two is smaller. This in turn means that the distribution of sample means is more likely to overlap with the hypothesized value distribution, making it harder to reject the null hypothesis and therefore increasing the chance of committing a Type II error.

With All Other Factors Held Constant, the Chance of Committing