The significance level of a test is: A. the probability of incorrectly rejecting

Question

The significance level of a test is:

A. the probability of incorrectly rejecting the alternate hypothesis

B. the probability of correctly accepting the null hypothesis

C. the probability of committing a Type II error

D. the probability of correctly rejecting the null hypothesis

E. the probability of incorrectly rejecting the null hypothesis

A. the probability of incorrectly rejecting the alternate hypothesis

B. the probability of correctly accepting the null hypothesis

C. the probability of committing a Type II error

D. the probability of correctly rejecting the null hypothesis

E. the probability of incorrectly rejecting the null hypothesis

The significance level of a test is: the probability of incorrectly rejecting the alternate hypothesis the probability of correctly accepting the null hypothesis the probability of committing a Type Il error the probability of correctly rejecting the null hypothesis the probability of incorrectly rejecting the null hypothesis

Explanation / Answer

The significance level for a given hypothesis test is a value for which a P-value less than or equal to is considered statistically significant.

significance level of a test is = Probability of type 1 error

In statistical hypothesis testing, a type I error is the incorrect rejection of a true null hypothesis

E option

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