Hi professor,I already did the A,B,C parts(I'm not sure whether they're right),and I'm confused with the D and E part. Could you please help me with that? Thanks!

Exercise 2. In an article that appeared in Chronicle of Higher Education on February 10, 2009 claimed that part of the reason for unethical behavior by Wall Street executives, financial managers, and other corporate officers is due to the fact that cheating has become more prevalent among business students. The article reported that 56% business students admitted to cheating at some time during their academic career. ~ Cheating has been a concern of the dean of the College of Business at Bayview University for several years. Some faculty members in the college believe that cheating is more widespread at Bayview than at other universities, whereas other faculty members think that cheating is not a major problem in the college. To help the dean to address these issues, conduct the following task using the dataset Bayview. Note: Any student who answered Yes to one of more of these questions is considered to have been involved in some type of cheating. ~ a) Use graphs (pie chart or bar chart) or frequency tables to summarize each variable (one graph or table per variable) and comment on your findings (compare the responses for each of the questions). Copied from Internet Copied on Exam Cumulative Cumulative Frequency Percent Valid Percent Percent Frequency Percent Valid Percent Percent Valid No 74 82.2 82.2 82.2 Valid No 72 80.0 80.0 80.0 Yes 16 17.8 17.8 100.0 Yes 18 20.0 20.0 100.0 Total 90 100.0 100.0 Total 90 100.0 100.0 L Collaborated on Individual Project involved in some type of cheating Cumulative Cumulative Frequency Percent Valid Percent Percent Frequency Percent Valid Percent Percent Valid No 61 67.8 67.8 67.8 Valid No 53 58.9 58.9 58.9 Yes 29 32.2 32.2 100.0 Yes 37 41.1 41.1 100.0 Total 90 100.0 100.0 Total 90 100.0 100.0 Gender Cumulative Frequency Percent Valid Percent Percent Valid Female 42 46.7 46.7 46.7 Male 48 53.3 53.3 100.0 Total 90 100.0 100.0 Among the 90 students, 74 said they never copied from the Internet, accounting for 82.2% of the total. There are 16 students who said they had the experience of copied from the Internet, accounting for 17.8% of the total. This is also the one with the least cheating in these data. Among the 90 students, 72 said they never copied on exam, accounting for 80% of the total. 18 students said they had the experience of copied on exam, accounting for 20% of the total.~ Among the 90 students, 61 students expressed that they never collaborated on individual project, accounting for 67.8% of the total. 29 students indicated that they had the experience of collaborated on individual projects, accounting for 32.2% of the total.~ Among the 90 students, 53 students expressed that they were never involved in some type of cheating, which is they chose No in the above three aspects, accounting for 58.9% of the total. 37 students indicated that they had the experience of being involved in some type of cheating, which means they chose one or more Yes in the above three aspects, accounting for 41.1% of the total.~ Among the 90 students, there are 42 females, accounting for 46.7% of the total. There are also 48 males, accounting for 53.3% of the total.~ b) Use this sample of 90 students to develop a 95% confidence intervals for the proportion of business students at Bayview University who were involved in some type of cheating.~ Lower Bound 30.95% Upper Bound 51.28We are 95% confident that the proportion of business students at Bayview University who were involved in some type of cheating is between 30.95% and 51.28%.~ c) Conduct a hypothesis test to determine whether the proportion of business students at Bayview University who were involved in some type of cheating is equal to 56% as reported by the Chronicle of Higher Education. Use a = .05.~ Hypothesis Testing for the Population Proportion Template Sample Checking for Conditions Sample Size (n) Condition 1 Success Count (X Condition 2 Sample Proportion of Succes (B 0.411111 Normal Sampling Distribution? Yes Sample Proportion of Failure (4 0.598889 Test P-Value Alpha (al 0.05 Left-tail 0.002217 "NORM.S.DIST(Test Statistic z. TRUE] Hypothetical Population Proportion of Succes (p) 0.56 Right-tail 0.997783 -1 - NORM.S.DIST(Test Statistic z TRUE) Hypothetical Population Proportion of Failure (q)] 2-tail 0.004434 -2"(Min value of the two previous output) Standard Error of Proportion (Up) 0.052324 Standardized Test Statistic (z) -285 Compare the P-value with Alpha P-Value Alpha 0.00443 Rule 1. If P S a, then reject !. 2. If P > a, then fail to reject H There is enough evidence to reject the claim because the Pa. ~ d) Compare your results for Parts b and c. Describe your findings.~ e) What advice would you give to the dean based upon your analysis of the data