A group of 75 college students from a certain liberal arts college were randomly sampled and asked about the number of alcoholic drinks they have in a typical week. The file containing the data is linked below. The purpose of this study was to compare the drinking habits of the students at the college to the drinking habits of college students in general. In particular, the dean of students, who initiated this study, would like to check whether the mean number of alcoholic drinks that students at his college have in a typical week differs from the mean of U.S. college students in general, which is estimated to be 4.73.Let μ be the mean number of alcoholic beverages that students in the college drink in a typical week. State the hypotheses that are being tested in this problem.

What would your conclusions be if the dean of students suspected that the mean number of alcoholic drinks that students in the college consume in a typical week is lower than the mean of U.S. college students in general? In other words, if this were a test of the hypotheses:H0: μ = 4.73 drinks per weekHa: μ < 4.73 drinks per week

College Students and Drinking Habits: A public health official is studying differences in drinking habits among students at two different universities. They collect a random sample of students independently from each of the two universities and ask each student how many alcoholic drinks they consumed in the previous week.The official conducts a two-sample t-test to determine whether these data provide significant evidence that students at University 1 drink more than students at University 2. The test statistic is t = 2.64 with a p-value 0.005.Which of the following is an appropriate conclusion? The samples provide significant evidence that students at University 1 drink more than students at University 2. The samples do not provide statistically significant evidence that there is a difference in drinking habits at the two universities. We cannot use the t-test in this case because the variables (number of drinks) are likely skewed to the right at each university.

Recall that the study reported that with 95% confidence, the underlying mean number of drinks consumed by Australian university students on a typical drinking day is somewhere between 4.8 and 6. Around 100 responses from Australian university students were used to construct this confidence interval.If the study had instead involved around 400 responses, given that the sample standard deviation did not change, the 95% confidence interval for the underlying mean number of drinks consumed by Australian university students on a typical drinking day would have been:about 1/2 as wideabout 1/4 as widepretty much unchangedabout 4 times wider

The university students from the US were asked about their alcohol consumption using two different versions of a question.In Version A, students were asked: How many drinks do you have on a typical day when drinking?In Version B, students were asked: How many standard drinks do you have on a typical day when drinking?Each student answered one version of the question in the survey, and the version they were asked was randomly allocated.The study found that the mean number of drinks reported was 6.58 when the question asked about standard drinks and the mean number of drinks reported was 4.70 when the question referred to drinks.The difference between these two means was found to be statistically significant at the 5% level.What additional information or analysis would you need before you could determine whether or not this result has practical importance?

The chancellor of a major university was concerned about alcohol abuse on her campus and wanted to find out the portion of students at her university who visited campus bars every weekend.  Her advisor took a random sample of 250 students.  The total number of students in the sample who visited campus bars every weekend is an example of :