The probability that your statistical test will allow you to correctly reject the null hypothesis?

The probability that your statistical test will allow you to correctly reject the null hypothesis?

• A. Type I error rate
• B. Type II error rate
• C. Power
• D. Confidence level

Answer: (C)

Power is the probability that your statistical test will correctly reject the null hypothesis when the alternative is true. It tells you how likely you are to detect a real effect if one exists. Power increases with a larger true effect size, larger sample size, lower variability, and, to some extent, a higher alpha level. It is 1 minus the Type II error rate, which is the chance of failing to reject a false null hypothesis. Confidence level relates to interval estimation, not the test’s ability to reject H0.

Power is the probability that your statistical test will correctly reject the null hypothesis when the alternative is true. It tells you how likely you are to detect a real effect if one exists. Power increases with a larger true effect size, larger sample size, lower variability, and, to some extent, a higher alpha level. It is 1 minus the Type II error rate, which is the chance of failing to reject a false null hypothesis. Confidence level relates to interval estimation, not the test’s ability to reject H0.