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Steroids in high school A study by the National Athletic Trainers Association surveyed random samples of 1679high school freshmen and 1366 high school seniors in Illinois. Results showed that 34of the freshmen and 24of the seniors had used anabolic steroids. Steroids, which are dangerous, are sometimes used in an attempt to improve athletic performance. Researchers want to know if there is a difference in the proportion of all Illinois high school freshmen and seniors who have used anabolic steroids.

a. State appropriate hypotheses for performing a significance test. Be sure to define the parameters of interest.

b. Check if the conditions for performing the test are met.

Short Answer

Expert verified

a. The hypothesis are: H0:p1=p2and Ha:p1p2

b. All conditions are met.

Step by step solution

01

Given Information

It is given that researchers want to know if there is difference in proportion of all Illinois high school and seniors using steroids or not.

x1=34

x2=24

n1=1679

n2=1366

02

Hypothesis for performing significance test

Claim is difference between the proportions.

Appropriate hypothesis are:

Null: H0:p1=p2

Alternative hypothesis: Ha:p1p2

p1isrole="math" localid="1654706370645" proportionfreshmen in Illinois that used anabolic steroids.

p2isproportion ofseniors in Illinois that used anabolic steroids.

03

Checking the conditions

Conditions are:

Random: Samples are independent random samples from separate populations.

Independent: 1679<10%of high school freshmen and 1366<10%of high school seniors.

Normal: There are 34success and 1679-34=1645failures in first sample and 24success and 1366-24=1342failures in second sample, all are less than ten.

All conditions are satisfied, we can use hypothesis test.

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Most popular questions from this chapter

Which of the following will increase the power of a significance test?

a. Increase the Type II error probability.

b. Decrease the sample size.

c. Reject the null hypothesis only if the P-value is less than the significance level.

d. Increase the significance level α.

e. Select a value for the alternative hypothesis closer to the value of the null hypothesis.

According to sleep researchers, if you are between the ages of 12and 18years old, you need 9 hours of sleep to function well. 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 standardized test statistic for the hypothesis test ?

  1. localid="1654221307488" t=7.9-92.128andt=7.9-92.128
  2. t=9-7.92.128andt=9-7.92.128
  3. t=7.9-92.128and t=7.9-92.128
  4. localid="1654221494579" t=7.9-92.127andt=7.9-92.127
  5. localid="1654221497857" t=9-7.92.127andt=9-7.92.127

Flight times The pilot suspects that the Dubai-to-Doha outbound flight typically takes longer. If so, the difference (Outbound−Return) in flight times will be positive on more days than it is negative. What if either flight is equally likely to take longer? Then we can model the outcome on a randomly selected day with a coin toss. Heads means the Dubai-to-Doha outbound flight lasts longer; tails means the Doha-to-Dubai return flight lasts longer. To imitate a random sample of 12days, imagine tossing a fair coin 12times.

a. Find the probability of getting 11or more heads in 12tosses of a fair coin.

b. The outbound flight took longer on 11of the 12days. Based on your result in part (a), what conclusion would you make about the Emirates pilot’s suspicion?

Researchers wondered whether maintaining a patient’s body temperature close to normal by heating the patient during surgery would affect rates of infection of wounds. Patients were assigned at random to two groups: the normothermic group (core temperatures were maintained at near normal, 36.5°C, using heating blankets) and the hypothermic group (core temperatures were allowed to decrease to about 34.5°C). If keeping patients warm during surgery alters the chance of infection, patients in the two groups should show a difference in the average length of their hospital stays. Here are summary statistics on hospital stay (in number of days) for the two groups:

a. Construct and interpret a 95%confidence interval for the difference in the true mean length of hospital stay for normothermic and hypothermic patients like these.

b. Does your interval in part (a) suggest that keeping patients warm during surgery affects the average length of patients’ hospital stays? Justify your answer.

c. Interpret the meaning of “95%confidence” in the context of this study.

A random sample of 200New York State voters included 88Republicans, while a random sample of 300California voters produced141Republicans. Which of the following represents the 95%confidence interval for the true difference in the proportion of Republicans in New York State and California?

a. (0.440.47)±1.96((0.44)(0.56)+(0.47)(0.53)200+300)

b. (0.440.47)±1.96((0.44)(0.56)200+(0.47)(0.53)300)

c. (0.440.47)±1.96(0.44)(0.56)200+(0.47)(0.53)300

d. (0.440.47)±1.96(0.44)(0.56)+(0.47)(0.53)200+300

e. (0.440.47)±1.96(0.45)(0.55)200+(0.45)(0.55)300

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