Question

Which of the following is NOT an interpretation for the p -value? It is the probability...

Which of the following is NOT an interpretation for the p -value?

It is the probability that the hypothesis test commits a Type II error.

It is the observed significance level.

It is the probability that you get a test statistic at least as extreme as the one obtained from your sample.

It is the smallest level of significance level that ensures rejection of H0.
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Answer #1

When we do a hypothesis testing then the p-value is the probability of obtaining the observed results of a test in which we assume that the null hypothesis is correct.Basically It is the level of marginal significance within a statistical hypothesis test representing the probability of the occurrence of a given event.

Hence in the given statement all the all the statement are the  interpretation for the p -value except:

It is the probability that the hypothesis test commits a Type II error

Hence correct option is (A) It is the probability that the hypothesis test commits a Type II error

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