1. Determine which of the following statements are true about the alpha level for a hypothesis test.  Group of answer choices: a. The alpha level is a probability value that is used to define the concept of "very unlikely" in a hypothesis test.  b. The alpha level is the probability that the test will lead to a Type I error if the null hypothesis is true. c. The alpha level determine the probability of obtaining sample data in the critical region even though there is no treatment effect. d. The alpha level helps determine boundaries for the critical region by defining the concept of unlikely outcomes.     Determine which of the following statements are true about the critical region.  Group of answer choices: a. The critical regions is determined by the alpha level. b. The critical region is comprised of extreme samples values that are very unlikely to be obtained if the null hypothesis is true. c. The critical region is comprised of extreme sample values that are very unlikely to be obtained if the alternative hypothesis is true. d. The critical region is a term used when the null hypothesis is rejected

MATLAB: An Introduction with Applications
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1. Determine which of the following statements are true about the alpha level for a hypothesis test. 
Group of answer choices:
a. The alpha level is a probability value that is used to define the concept of "very unlikely" in a hypothesis test. 
b. The alpha level is the probability that the test will lead to a Type I error if the null hypothesis is true.
c. The alpha level determine the probability of obtaining sample data in the critical region even though there is no treatment effect.
d. The alpha level helps determine boundaries for the critical region by defining the concept of unlikely outcomes.
 
 
Determine which of the following statements are true about the critical region. 
Group of answer choices:
a. The critical regions is determined by the alpha level.
b. The critical region is comprised of extreme samples values that are very unlikely to be obtained if the null hypothesis is true.
c. The critical region is comprised of extreme sample values that are very unlikely to be obtained if the alternative hypothesis is true.
d. The critical region is a term used when the null hypothesis is rejected 
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