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. OA. The test becomes less stringent to reject the null hypothesis (i.e. it becomes easier to reject the null hypothesis). OB. It becomes easier to prove that the null hypothesis is true. OC. The chance of committing a Type II error changes from 0.10 to 0.05. OD. The chance of committing a Type I error changes from 0.10 to 0.05. OE. The chance that the null hypothesis is true changes from 0.10 to 0.05. OF. It becomes harder to prove that the null hypothesis is true. OG. The test becomes more stringent to reject the null hypothesis (i.e., it becomes harder to reject the null hypothesis).

pls answer based on the choices

hopes that the results of a trial period will enable her to conclude with a level of significance of 0.05 that the new procedure increases the average profit of installing a carpet. What will be the consequences if she makes a Type I error on her hypothesis test? A Type I error would mean that Carpetland implements a new procedure that actually decreases profits. A Type I error would mean that Carpetland implements a new procedure that actually increases profits. A Type 1 error would mean that Carpetland does not implement a new procedure that increases profits. A Type I error would mean that Carpetland does not implement a new procedure that decreases profits.. A Type I error would mean that Carpetland implements a new procedure that actually does not increase profits. A Type I error would mean that Carpetland implements a new procedure that actually does not decrease profits.

Test the claim that the mean GPA of night students is smaller than 2.2 at the 0.025 significance level. The null and alternative hypothesis would be: Ho: 2.2 Ho:p ≤ 0.55 Ho:p≥ 0.55 Ho:p = 0.55 Ho:μ = 2.2 Ho:μ ≤ 2.2 H₁: 0.55 H₁:p 2.2 The test is: two-tailed left-tailed right-tailed Based on a sample of 35 people, the sample mean GPA was 2.15 with a standard deviation of 0.04 The p-value is: Based on this we: O Fail to reject the null hypothesis O Reject the null hypothesis (to 2 decimals)