I don't know where to begin to build a hypothesis Test.

Which of the following is the first step in hypothesis testing?  (a) Developing a null and alternative hypothesis. (b) Drawing a sample from the population. (c) It does not matter where you begin when you test hypotheses. (d) Setting the cutoff value for rejecting the null hypothesis.

To test the effectiveness of a business school preparation course, 8 students took a general business test before and after the course. The results are given below.   Student Exam Score Before the Course Exam Score After the Course 1 720 700 2 740 770 3 900 950 4 700 710 5 500 580 6 840 900 7 820 840 8 640 650   Use an appropriate hypothesis test, at 0.05 level of significance, to determine whether there is evidence of a difference between before and after scores of the students. What assumption is necessary to perform the hypothesis test in (a)? Construct a 95% confidence interval estimate of the mean difference in before and after scores. Interpret the interval. What is your decision based on this confidence interval estimate?

For the given hypothesis test, explain the meaning of the kind of error, as requested. A statistics student has heard that about 25% 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). O A. The second kind of error would be saying that statistics students attend sporting events in much higher proportions than the student body as a whole, even though they actually have the same attendence proportion. B. 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 there really is. O C. 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…

Why is it recommended to formulate a hypothesis so that it becomes the alternative (but not null) hypothesis?

When conducting a hypothesis test, what would it mean if the researcher obtains a negative test statistic?   The sample is too small. It’s very unlikely the results would have occurred just by chance alone. The sample statistic is smaller than the claimed population parameter. A mistake was made in terms of calculating the test statistic. The sample statistic is larger than the claimed population parameter.

Compare statistical testing with legal methods used in a U.S. court setting. Then discuss the following topics in class or consider the topics on your own. Please write a brief but complete essay in which you answer the following questions. (a) In a court setting, the person charged with a crime is initially considered to be innocent. The claim of innocence is maintained until the jury returns with a decision. Explain how the claim of innocence could be taken to be the null hypothesis. Do we assume that the null hypothesis is true throughout the testing procedure?What would the alternate hypothesis be in a court setting?(b) The court claims that a person is innocent if the evidence against the person is not adequate to find him or her guilty. This does not mean, however, that the court has necessarily proved the person to be innocent. It simply means that the evidence against the person was not adequate for the jury to find him or her guilty. How does this situation compare with a…

When a result is not extreme enough to reject the null hypothesis, explain why it is wrong to conclude that your result supports the null hypothesis.

What are the two decisions that you can make from performing a hypothesis​ test? What are the two decisions that you can make from performing a hypothesis​ test? Select all that apply.     A. reject the alternative hypothesis   B. make a type I error   C. accept the alternative hypothesis   D. reject the null hypothesis   E. accept the null hypothesis   F. fail to reject the alternative hypothesis   G. fail to reject the null hypothesis   H. make a type II error

Why would it make sense to call the hypothesis test as a marginal or partial test?