Problems pertain to the P-value approach to hypothesis testing. How is the P-value of a hypothesis test actually determined?

Find the P -value for the indicated hypothesis test.  A medical school claims that more than 28% of its students plan to go into general practice. It is found that among a random sample of 120 of the school's students, 30% of them plan to go into general practice. Find the P -value for a test of the school's claim.

Female Physicians The percentage of physicians who are women is 27.9%. In a survey of physicians employed by a large university health system, 37 of 114 randomly selected physicians were women. Is there sufficient evidence at the 0.05 level of significance to conclude that the proportion of women physicians at the university health system exceeds 27.9%?Do not round intermediate steps.   H0=    (claim or not claim)  H1=    (claim or not claim) This hypothesis test is a (one tailed or two tailed) test Critical value(s)= z= (Reject or do not reject) the null hypothesis  is there enough evidence to support the claim?

2. Can hypothesis testing ever prove a hypothesis true? How should we interpret an experiment where we fail to reject the null hypothesis?

For a hypothesis test, if the p-value for the test statistic is less than the significance level, which one of the following is a correct conclusion? Group of answer choices Reject the null hypothesis. There is enough evidence to conclude the alternative hypothesis is true. Fail to reject the null hypothesis. There is enough evidence to conclude the null hypothesis is true. Reject the null hypothesis. There is not enough evidence to conclude the alternative hypothesis is true. Fail to reject the null hypothesis. There is not enough evidence to conclude the alternative hypothesis is true.

The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject H, when the level of significance is (a) a = 0.01, (b) a = 0.05, and (c) a = 0.10. P=0.0212 (a) Do you reject or fail to reject H, at the 0.01 level of significance? O A. Fail to reject H, because the P-value, 0.0212, is greater than a= 0.01. O B. Reject H, because the P-value, 0.0212, is greater than a = 0.01. OC. Reject H, because the P-value, 0.0212, is less than a = 0.01. O D. Fail to reject H, because the P-value, 0.0212, is less than a = 0.01. (b) Do you reject or fail to reject H, at the 0.05 level of significance? O A. Fail to reject H, because the P-value, 0.0212, is greater than a= 0.05. O B. Reject H, because the P-value, 0.0212, is greater than a = 0.05. OC. Fail to reject H, because the P-value, 0.0212, is less than a = 0.05. O D. Reject H, because the P-value, 0.0212, is less than a = 0.05. (c) Do you reject or fail to reject H, at the 0.10 level of significance? O A. Reject H, because…

High School Band - In most US high schools, students can play an instrument in three types of bands. A random sample of high school band students was taken and the results are summarized in the table below. Instrument type Band Woodwind Brass Percussion type Concert 31 25 8 Jazz 10 16 10 Marching 65 65 27 To assess whether there is a relationship between band type and instrument type, we conduct an appropriate hypothesis test. What is the p-value for this hypothesis test? Give your answer to 4 decimal places. Your Answer:

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?

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