Which of the following correctly describe the p-value? You must make a selection

Question

Which of the following correctly describe the p-value?

You must make a selection for each option. Click once to place a check mark for correct answers and click twice to empty the box for the wrong answers.

a. The p-value is the total probability inside of the rejection region as defined by the critical values.

b. The p-value is the probability that a random value of the sample test statistic is as far or further away from the center of the curve as is the calculated test statistic, assuming Ho is true.

c. The p-value is the probability of a Type II error.

d. The p-value is always equal to the significance level of the hypothesis test.

e. The p-value is the probability of obtaining a sample test statistic as extreme as or more extreme than the calculated test statistic under the assumption that the null hypothesis is true.

Explanation / Answer

Here, right answer is d.

p value indicate the significance level of hypothesis test. Which describe the confidence level of the test to make our hypothesis test.

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