Medical Marijuana. An issue with legalization of medical marijuana is "diversion," the process in which medical marijuana prescribed for one person is given, traded, or sold to someone who is not registered for medical marijuana use. Researchers S. Sautel et al. study the issue of diversion in the article "Medical Marijuana Use Among Adolescents in Substance Abuse Treatment" . The mean number of days that 120adolescents in substance abuse treatment used medical marijuana in the last six months was 102.72. Assume the population standard deviation is 32days.

a. Find a 95%confidence interval for the mean number of days, μ, of diverted medical marijuana use in the last 6 months of all adolescents in substance abuse treatment.

b. Repeat part (a) at a 90%confidence level.

c. Draw a graph similar to Fig. 8.6on page 326to display both confidence intervals.

d. Which confidence interval yields a more accurate estimate ofμ ? Explain your answer.

Short Answer

Expert verified

(a) 95%confidence level of μis96.994,108.446

(b)90%confidence level ofμisrole="math" localid="1652802411481" 97.915,107.525

(c)

(d)90%confidence interval give more accurate estimate ofμ.

Step by step solution

01

Given Information

Two confidence levels 90%,95%are given.

σ=32

n=120

x-=102.72

02

Determination of 95% confidence interval of μ

95%confidence interval is given by:

x¯±zα2σn=102.72±1.9632120

role="math" localid="1652802679707" =102.72±5.7259

=96.994,108.446

03

Determination of 90% confidence interval of μ

From table, zα2=1.645

90%confidence interval is given by

x-±zα2σn=102.72±1.64532120

=102.72+4.8054

=97.915,107.525

04

Representation of Confidence Level on Graph

Confidence level90% is shown as:

95%Confidence level is shown as:

05

Determination of confidence interval that give more accurate estimate 

90% confidence interval has narrower interval. Hence, it gives more accurate estimate ofμthan95%

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Most popular questions from this chapter

Express the form of most of the confidence intervals that you will encounter in your study of statistics in terms of "point estimate" and "margin of error."

Suppose that a simple random sample is taken from a normal population having a standard deviation of 10 for the purpose of obtaining a 95% confidence interval for the mean of the population.

a. If the sample size is 4 , obtain the margin of error.

b. Repeat part (a) for a sample size of 16

c. Can you guess the margin of error for a sample size of 64 ? Explain your reasoning.

Assume that the population standard deviation is known and decide weather use of the z-interval procedure to obtain a confidence interval for the population mean is reasonable. Explain your answers.

The sample data contain no outliers, the variable under consideration is roughly normally distributed, and the sample size is 20.

Civilian Labor Force. Consider again the problem of estimating the mean age, μ, of all people in the civilian labor force. In Example 8.7on page 328 , we found that a sample size of 2250 is required to have a margin of error of 0.5year and a 95%confidence level. Suppose that, due to financial constraints, the largest sample size possible is 900 . Determine the greatest confidence level, given that the margin of error is to be kept at half year. Recall thatσ=12.1 years.

Class Project: Gestation Periods of Humans. This exercise can be done individually or, better yet, as a class project. Gestation periods of humans are normally distributed with a mean of 266 days and a standard deviation of 16 days.

a. Simulate 100 samples of nine human gestation periods each.

b. For each sample in part (a), obtain a 95% confidence interval for the population mean gestation period.

c. For the 100 confidence intervals that you obtained in part (b), roughly how many would you expect to contain the population mean gestation period of 266 days?

d. For the 100 confidence intervals that you obtained in part (b), determine the number that contain the population mean gestation period of 266 days.

e. Compare your answers from parts (c) and (d), and comment on any observed difference.

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