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Chapter 10: Q.2 (page 621)

Binge drinking Who is more likely to binge drink鈥� male or female college students? The Harvard School of Public Health surveys random samples of male and female undergraduates at four-year colleges and universities about whether they have engaged in binge drinking.

(a) Is this a problem with comparing means or comparing proportions? Explain.

(b) What type of study design is being used to produce data?

Short Answer

Expert verified

From the given information,

a) The problem is about comparing proportions.

b) Observational study design is being used to produce data .

Step by step solution

01

Part (a) Step 1: Given Information

It is given in the question, Who is more likely to binge drink鈥� male or female college students? The Harvard School of Public Health surveys random samples of male and female undergraduates at four-year colleges and universities about whether they have engaged in binge drinking.

02

Part (a) Step 2: Explanation

The Harvard School of Public Health reviews irregular examples of male and female students at four-year universities and colleges about whether they have been settled with hard-core boozing.

Since two categories are applied in this problem, that is, Yes or No. It implies that undisturbed data is categorical the mean cannot be calculated here. Thus, it could not be ended that the problem is about proportions.

03

Part (b) Step 1: Given Information

It is given in the question, The Harvard School of Public Health surveys random samples of male and female undergraduates at four-year colleges and universities about whether they have engaged in binge drinking. We have to find what type of study design is being used to produce data?

04

Part (b) Step 2: Explanation

Since the observational study does not impact the outcome and in the delivered case no outcomes have been influenced here.

Accordingly, the study is observational.

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Most popular questions from this chapter

A study of road rage asked separate random samples of 596men and 523women about their behavior while driving. Based on their answers, each re-spondent was assigned a road rage score on a scale of 0to 20. Are the conditions for performing a two-sample t test satisfied?

a) Maybe; we have independent random samples, but we need to look at the data to check Normality.

(b) No; road rage scores in a range between 0 and 20 can鈥檛 be Normal.

(c) No; we don鈥檛 know the population standard deviations.

(d) Yes; the large sample sizes guarantee that the corresponding population distributions will be Normal.

(e) Yes; we have two independent random samples and large sample sizes.

Final grades for a class are approximately Normally distributed with a mean of 76and a standard deviation of 8. A professor says that the top 10%of the class will receive an A, the next 20%a B, the next 40%a C, the next 20%a D, and the bottom 10%an F. What is the approximate maximum average a student could attain and still receive an F for the course?

(a) 70

(b)69.27

(c) 65.75

(d) 62.84

(e)57

According to sleep researchers, if you are between the ages of 12and 18years old, you need 9hours of sleep to be fully functional. A simple random sample of 28students was chosen from a large high school, and these students were asked how much sleep they got the previous night. The mean of the responses was 7.9hours, with a standard deviation of 2.1hours.

Which of the following is the test statistic for the hypothesis test?

(a)t=7.9-92.128

(b)t=9-7.92.128

(c)t=7.9-92.128

(d)t=7.9-92.127

(e)t=9-7.92.127

Refer to Exercise 36. Suppose we select independent SRSs of 16 young men and 9 young women and calculate the sample mean heights xMandxW

(a) Describe the shape, center, and spread of the sampling distribution of xM-xW

(b) Find the probability of getting a difference in sample means x炉M-x炉Wthat鈥檚 greater than or equal to 2inches. Show your work.

(c) Should we be surprised if the sample mean height for the young women is more than 2inches less than the sample mean height for the young men? Explain.

The correlation between the heights of fathers and the heights of their (grownup) sons isr=0.52 , both measured in inches. If fathers鈥� heights were measured in feet and sons鈥� heights were measured in furlongs (one furlong equals 7920 inches), the correlation between heights of fathers and heights of sons would be

(a) much smaller than 0.52.

(b) slightly smaller than 0.52.

(c) unchanged; equal to 0.52.

(d) slightly larger than 0.52.

(e) much larger than 0.52.
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