When one changes the significance level of a hypothesis test from 0.01 to 0.05,

Question

When one changes the significance level of a hypothesis test from 0.01 to 0.05, which of the following will happen? Check all that apply. A. The test becomes more stringent to reject the null hypothesis (i.e. it becomes harder to reject the null hypothesis). B. The chance that the null hypothesis is true changes from 0.01 to 0.05. C. The chance of committing a Type ll error changes from 0.01 to 0.05. D. The chance of committing a Type l error changes from 0.01 to 0.05. E. It becomes easier to prove that the null hypothesis is true. F. The test becomes less stringent to reject the null hypothesis (i.e., it becomes easier to reject the null hypothesis). G. It becomes harder to prove that the null hypothesis is true.

Explanation / Answer

Option A, D, E are Correct.

when significance is increased , Type 1 error will increase because significance level is itself the type 1 error. Also, it becomes hardee to reject the null hypothesis and easier to accept the null hypothesis

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