For question #2 below, when I'm calculating the 95% confidence interval for the proportion of male students, should my sample size in the formula be...

Develop 95% confidence intervals for the proportion of all students, the proportion of all male students, and the proportion of all female students who were involved in some type of cheating. Develop 95% confidence intervals for the proportion of all students, the proportion of all male students, and the proportion of all female students who were involved in copying off the internet. Develop 95% confidence intervals for the proportion of all students, the proportion of all male students, and the proportion of all female students who were involved in copying off another's exam. Develop 95% confidence intervals for the proportion of all students, the proportion of all male students, and the proportion of all female students who were involved in collaborating on an individual project. Conduct a hypothesis test (using either the p-value approach or the critical value approach) to determine if the proportion of all business students at Rocky University who were not involved in some type of cheating is less than that of all business students elsewhere. Use = 0.05. Do not forget to include the correctly worded hypotheses. What advice would you give to the dean based upon your analysis of the data? Focus your advice on answering the following: What is the magnitude of the issue? What would you recommend for both students and faculty? What is the potential impact on relationships with the business community and what would you recommend? How can this study be improved?