What exactly is a P-value when it comes to a test of hypothesis? A. A P-value is

Question

What exactly is a P-value when it comes to a test of hypothesis?

A. A P-value is two times the likeliehood that the test statistic will fall outside the area established by the critical values in a two-tailed test of hypothesis.

B. A P-value is a probability; specifically, it is the probabilty that you will commit a Type-I error if you reject the null hypothesis.

C. A P-value is a probability; specifically, it is the probability that the test statistic is in the non-rejection region established in the sampling distribution.

D. A P-value is a value of z, t, or chi-sq; specifically it the the value of the test statisitc that determines whether or not you reject the null hypothesis.

Explanation / Answer

The option that best describes P value is:

D. A P-value is a value of z, t, or chi-sq; specifically it the the value of the test statisitc that determines whether or not you reject the null hypothesis.

If a p value is greater than , the null hypothesis is not rejected. If it is lesser, it is rejected.

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