1.Determine which of the following statements are true about the alpha level for a hypothesis test.

Group of answer choices

The alpha level is a probability value that is used to define the concept of "very unlikely" in a hypothesis test.

a) The alpha level is the probability that the test will lead to a Type I error if the null hypothesis is true.

b) The alpha level determine the probability of obtaining sample data in the critical region even though there is no treatment effect.

c) The alpha level helpsdetermine boundaries for the critical region by defining the concept of unlikely outcomes.

2. Determine which of the following statements aretrue about the critical region.

Group of answer choices

a) The critical regions is determined by the alpha level.

b) he critical region iscomprised of extreme samples values that are very unlikely to be obtained if the null hypothesis is true.

c) The critical region iscomprised of extreme sample values that are very unlikely to be obtained if the alternative hypothesis is true.

d) The critical region is aterm usedwhen the null hypothesis is rejected

3. Determine whether the presented statement is true or false based on the two-tailed tests previously conducted:

"A larger sample size increases the likelihood of rejecting the null hypothesis. "