Suppose that a hypothesis test is performed at a small significance level. State the appropriate conclusion in each case by referring to Key Fact 2. a. The null hypothesis is rejected.b. The null hypothesis is not rejected.

Which of the following statements are TRUE? I. Increasing the significance level of a test will increase the chance of erroneously rejecting a true null hypothesis. II. Increasing the significance level of a test will increase the chance of erroneously failing to reject a false null hypothesis. Only statement I is true. Neither statement is true. Only statement II is true. Both statements are true.

A teacher is comparing the mean study time of his freshmen and senior students. He believes that his senior students spend more time studying per week than his freshmen students and decides to perform a hypothesis test  on this belief. a. suppose the decision of the hypothesis test is to reject the null hypothesis. If, in reality, freshmen study for a mean of 10 hours per wekk and seniors study for a mena of 15 hours per week, was an arror made? If so, what type?  b. Suppose the decision of the hypothesis test is to fail to reject the null hypothesis. If, in reality, freshmen study for a mean of 15 hours per week and seniors study for a mean of 15 hours per week, was an error made? if so, what type?

Q4. Which of these statements are correct for a hypothesis test: I. The Significance Level is the Pr(Rejecting a correct Null). II. Falsely Not Rejecting the Null is a Type II error. Pr(Тype II error) %3D1- Pr(Туpe I error). III. A. I. & II. B. II. & III. C. I., II. & III. D. All incorrect. O A. A В. В С. С O D. D

A Type I error is making a correct decision in a hypothesis test. when a correct null hypothesis is rejected in a hypothesis test. usually not controlled for in a hypothesis test. when a correct alternative hypothesis is rejected in a hypothesis test. both (c) and (d) are true.

Samples of Republicans, Democrats, and Independents have been tested for their level of support for welfare reform and the null hypothesis has been rejected. What may we conclude? a. the difference is significant, there are differences between the parties on this issue b. the difference is significant, the parties are the same on this issue c. the difference is not significant d. a Type I error hoc

Plzz choose correct option.

For the given hypothesis​ test, explain the meaning of the kind of​ error, as requested.   A statistics student has heard that about 32​% of the students on his campus attend sporting events weekly. He wants to know if statistics students attend events in the same proportions as the general student body. Explain what the second type of error would be in this case​ (where the student fails to reject a null hypothesis that is actually​ false).   A. The second kind of error would be saying that there is no difference in the attendence of statistics students and the student body as a whole at sporting​ events, even though statistics students actually go much less often.   B. The second kind of error would be saying that statistics students attend sporting events in different proportions than the student body as a​ whole, even though they actually have the same attendence proportion.   C. The second kind of error would be saying that there is no difference in the…

Q3. If the null hypothesis is not rejected when the null hypothesis is in error, what type of error, if any, has been made?

D. Whymight it be worse to make a Type 1 error in this scenario? E. Suppose that we fail to reject the null hypothesis. Wrote a conclusion statement in the context of the problem. Assume no errors were made.