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Medical Marijuana. Refer to Exercise 8.77

a. The mean number of days that 30adolescents in substance abuse treatment used medical marijuana in the last 6months was 105.43Find a 95%confidence interval for μbased on that data.

b. Compare the 95%confidence intervals obtained here and in Exercise 8.77(a) by drawing a graph similar to Fig. 8.7on page 327

c. Compare the margins of error for the two 95% confidence intervals.

d. What principle is being illustrated?

Short Answer

Expert verified

Part (a) The population mean μhas a 95%confidence interval estimate of (93.979,116.881) based on MINITAB output.

Part (b)

Part (c) The margin of error for the 95%confidence interval is 5.726

Part (d) The sample size is decreased and the confidence level is the same, which provides the increased margin of error.

Step by step solution

01

Part (a) Step 1: Given information

x¯=105.43,n=30 and σ=32

02

Part (a) Step 2: Calculation

Using MINITAB, calculate a 95%confidence interval estimate of the population mean μ

Consider x¯=105.43,n=30, and σ=32

Procedure for MINITAB:

Step 1: Select Stat >Basic Statistics >1-Sample Zfrom the drop-down menu.

Step 2: In Summarized data, put 30as the sample size and 105.43as the mean.

Step 3: In the Standard deviation box, type 32for s

Step 4: Select Options and set the Confidence Level to 95

Step 5: In the alternative, select not equal.

Step 6: In all dialogue boxes, click OK.

MINITAB output:

One-Sample Z

The assumed standard deviation =32

NMeanSE Mean95% CI
30105.4305.842(93.979, 116881)

The population mean μhas a 95%confidence interval estimate of (93.979,116.881)based on MINITAB output.

03

Part (b) Step 1: Calculation

The confidence interval in Exercise 8.77 is shown in the below graph:

The confidence interval in part (a) is shown in the below graph:

04

Part (c) Step 1: Calculation

When (93.979,116.881)is used, get the margin of error for the 95%confidence interval?

The margin of error is,

Margin of error=116.881-93.9792=22.9022=11.451

Thus, the margin of error for the 95%confidence interval is 11.451

The 95%confidence interval for μis (96.994,108.446)based on Exercise 8.77

The margin of error is,

Margin of error=108.446-96.9942=11.4522=5.726

Thus, the margin of error for the 95%confidence interval is 5.726

When compared to the margin of error obtained in Exercise 8.77 this exercise has a bigger margin of error.

05

Part (d) Step 1: Explanation

The premise is that the sample size is reduced while the confidence level remains constant, resulting in a growing margin of error.

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Most popular questions from this chapter

What is a confidence interval estimate of a parameter? Why is such an estimate superior to a point estimate?

Discuss the relationship between the margin of error and the standard error of the mean.

Bicycle Commuting Times. A city planner working on bikeways designs a questionnaire to obtain information about local bicycle commuters. One of the questions asks how long it takes the rider to pedal from home to his or her destination. A sample of local bicycle commuters yields the following times, in minutes.

a. Find a 90%confidence interval for the mean commuting time of all local bicycle commuters in the city. (Note: The sample mean and sample standard deviation of the data are 25.82minutes and 7.71minutes, respectively.)

b. Interpret your result in part (a).

c. Graphical analyses of the data indicate that the time of 48min utes may be an outlier. Remove this potential outlier and repeat part (a). (Note: The sample mean and sample standard deviation of the abridged data are 24.76 and 6.05, respectively.)

d. Should you have used the procedure that you did in part (a)? Explain your answer.

Answer true or false to the following statement, and give a reason for your answer: If a 95% confidence interval for a population mean. μ, is from 33.8 to 39.0, the mean of the population must lie somewhere between 33.8 and 39.0

A simple random sample is taken from a population and yields the following data for a variable of the population:

find a point estimate for the population standard deviation (i.e., the standard deviation of the variable).

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