When one changes the significance level of a hypothesis test from 0.10 to 0.05,

Question

When one changes the significance level of a hypothesis test from 0.10 to 0.05, which of the following will happen? Check all that apply. The chance of committing a Type II error changes from 0.10 to 0.05. The chance that the null hypothesis is true changes from 0.10 to 0.05. It becomes harder to prove that the null hypothesis is true. It becomes easier to prove that the null hypothesis is true. The test becomes more stringent to reject the null hypothesis (i.e., it becomes harder to reject the null hypothesis). The chance of committing a Type I error changes from 0.10 to 0.05. The test becomes less stringent to reject the null hypothesis (i.e. it becomes easier to reject the null hypothesis).

Explanation / Answer

Solution:-

C) It becomes harder that null hypothesis is true.

F) The chance of commitimg a Type 1 error changes from 0.10 to 0.05.

G) The test becomes less stringent to reject the null hypothesis.

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