Inference recap (8.1to 11.2) In each of the following settings, state which inference procedure from Chapter 8,9,10,or11you would use. Be specific. For example, you might answer, “Two-sample z test for the difference between two proportions.” You do not have to carry out any procedures.

a. Is there a relationship between attendance at religious services and alcohol consumption? A random sample of 1000adults was asked whether they regularly attend religious services and whether they drink alcohol daily.

b. Separate random samples of 75 college students and 75 high school students were asked how much time, on average, they spend watching television each week. We want to estimate the difference in the average amount of TV watched by high school and college students.

Short Answer

Expert verified

a. Chi-square test of independence should be used.

b. The t- test for two sample for the mean difference should be used.

Step by step solution

01

Part (a) Step 1 : Given information

We have to explain which test will be applicable from inference.

02

Part (a) Step 2 : Simplification

Is there a link between attending religious services and consuming alcoholic beverages? A random sample of
1000 persons were questioned if they attended religious services on a regular basis and drank alcohol on a daily basis.
First, we must make a list of the hypothesis tests that we have learned.
For a single sample, the Z-test or proportion interval is used. For two samples, the Z-test or proportion interval is used. T-test or mean interval for a single sample. T-test or mean interval for two samples. Mean paired t-test for two samples. The Chi-square test for homogeneity or independence.
For instance, the association between religious attendance and alcohol intake should be investigated.
As a result, the chi-square independence test should be used.
03

Part (b) Step 1 : Given information

We have to explain which test will be applicable from inference.

04

Part (b) Step 2 : Simplification

College students 75and 75high school students were randomly selected and asked how much time they spent watching television on a weekly basis.
We'dwanttocalculatethedifferenceinaverageTVviewingtimebetweenhighschoolandcollegestudents.
First, we must make a list of the hypothesis tests that we have learned. For a single sample, the Z-test or proportion interval is used. For two samples, the Z-test or proportion interval is used. T-test or mean interval for a single sample. T-test or mean interval for two samples. Mean paired t-test for two samples.
TheChi-squaretestforhomogeneityorindependence.
Check the difference between two averages of two samples in the provided example.
As a result, a two-sample t-test for the mean difference should be utilized.

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Most popular questions from this chapter

No chi-square A school’s principal wants to know if students spend about the same amount of time on homework each night of the week. She asks a random sample of 50 students to keep track of their homework time for a week. The following table displays the average amount of time (in minutes) students reported per night.

Explain carefully why it would not be appropriate to perform a chi-square test for goodness of fit using these data.

How far away do you live? Conduct a follow-up analysis for the test in Exercise50.

Preventing strokes Refer to Exercise 38. Which treatment seems to be most effective? Least effective? Justify your choices.

Opinions about the death penaltyThe General Social Survey (GSS) asked separate random samples of people with only a high school degree and people with a bachelor’s degree, “Do you favor or oppose the death penalty for persons convicted of murder?” Of the 1379people with only a high school degree, 1010 favored the death penalty, while 319of the 504people with a bachelor’s degree favored the death penalty. We can test the hypothesis of “no difference” in support for the death penalty among people in these educational categories in two ways: with a two-sample z test or with a chi-square test.

a. State appropriate hypotheses for a chi-square test.

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c. Here is Minitab output for a two-sample z test. Explain how these results are consistent with the test in part (a).

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a. Explain why it is acceptable to use two-sample t procedures in this setting.

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