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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

A researcher wished to compare the average amount of time spent in extracurricular activities by high school students in a suburban school district with that in a school district of a large city. The researcher obtained an SRS of 60high school students in a large suburban school district and found the mean time spent in extracurricular activities per week to be 6hours with a standard deviation of 3hours. The researcher also obtained an independent SRS of 40high school students in a large city school district and found the mean time spent in extracurricular activities per week to be 5hours with a standard deviation of 2hours. Suppose that the researcher decides to carry out a significance test of H0: μsuburban=μcity versus a two-sided alternativ

The P-value for the test is 0.048. A correct conclusion is to

a. fail to reject H0because0.048<α=0.05. There is convincing evidence of a difference in the average time spent on extracurricular activities by students in the suburban and city school districts.

b. fail to reject H0because 0.048<α=0.05. There is not convincing evidence of a difference in the average time spent on extracurricular activities by students in the suburban and city school districts.

c. fail to reject H0because0.048<α=0.05. There is convincing evidence that the average time spent on extracurricular activities by students in the suburban and city school districts is the same.

d. reject H0because 0.048<α=0.05. There is not convincing evidence of a difference in the average time spent on extracurricular activities by students in the suburban and city school districts.

e. reject H0because 0.048<α=0.05 . There is convincing evidence of a difference in the average time spent on extracurricular activities by students in the suburban and city school districts.

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d. Construct and interpret a 90%confidence interval for the true mean difference. Explain how the confidence interval gives more information than the test in part (b).

Which inference method?

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c. Point P decreases the slope and decreases the correlation.

d. Point P decreases the slope and increases the correlation .

e. No conclusion can be drawn because the other coordinates are unknown.

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