Which of the following is true about Type II error of a test?
A) The probability of a Type II error is not within the control of the researcher.
B) Type II error is the summation of Type I error and statistical power.
C) Type II error is a conditional probability.
D) The probability of a Type II error is same as the alpha level of a test.

Question

Quizplus · Accepted Answer

Type II error is a conditional probability, which means it depends on the true effect size or difference between groups. It is the probability of accepting the null hypothesis when it is actually false. The probability of a Type II error can be reduced by increasing sample size or decreasing the level of significance (alpha), but it cannot be completely eliminated. Option A is incorrect because researchers can take steps to minimize Type II error by increasing sample size, improving measurement tools, and using appropriate statistical methods. Option B is incorrect because Type II error is not the summation of Type I error and statistical power; rather, it is complementary to statistical power. Option D is incorrect because the probability of a Type II error and the alpha level of a test are not the same; they are inversely related.

Which of the Following Is True About Type II Error