may be more than one answer In the language of hypothesis testing, alpha is A.

ID: 3316487 • Letter: #

Question

*may be more than one answer*

In the language of hypothesis testing, alpha is

A. the probability of rejecting the null hypothesis when it is actually true.

B. the probability of failing to reject the null hypothesis when it is actually false.

C. the area used to find the tail boundary when using invNorm or invT for a two-tailed test.

D. the area used to find the tail boundary when using invNorm or invT for a left-tailed test.

E. the area used to find the tail boundary when using invNorm or invT for a right-tailed test.

F. the area that the p-value is compared to when conducting a two-tailed test.

G. the area that the p-value is compared to when conducting a left-tailed test.

H. the area that the p-value is compared to when conducting a right-tailed test.

alpha or level of significance

A. P(Type I error) =P(rject H0 when H0 is True)

F. the area that the p-value is compared to when conducting a two-tailed test.

G. the area that the p-value is compared to when conducting a left-tailed test.

H. the area that the p-value is compared to when conducting a right-tailed test.

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