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. 1) The chance of committing a Type II error changes from 0.10 to 0.05. 2) It becomes easier to prove that the null hypothesis is true. 3) It becomes harder to prove that the null hypothesis is true. 4) The test becomes less stringent to reject the null hypothesis (i.e. it becomes easier to reject the null hypothesis). 5) The chance of committing a Type I error changes from 0.10 to 0.05. 6) The chance that the null hypothesis is true changes from 0.10 to 0.05. 7) The test becomes more stringent to reject the null hypothesis (i.e., it becomes harder to reject the null hypothesis).

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