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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, 鈥淭wo-sample z test for the difference between two proportions.鈥 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

The National Longitudinal Study of Adolescent Health interviewed a random sample of 4877teens (grades 7to 12). One question asked, 鈥淲hat do you think are the chances you will be married in the next 10years?鈥 Here is a two-way table of the responses by gender:

Which of the following is the appropriate null hypothesis for performing a chi-square test?

a. Equal proportions of female and male teenagers are almost certain they will be married in 10years.

b. There is no difference between the distributions of female and male teenagers鈥 opinions about marriage in this sample.

c. There is no difference between the distributions of female and male teenagers鈥 opinions about marriage in the population.

d. There is no association between gender and opinion about marriage in the sample.

e. There is no association between gender and opinion about marriage in the population.

When analyzing survey results from a two-way table, the main distinction between a test for independence and a test for homogeneity is

a. how the degrees of freedom are calculated.

b. how the expected counts are calculated.

c. the number of samples obtained.

d. the number of rows in the two-way table.

e. the number of columns in the two-way table.

A random sample of traffic tickets given to motorists in a large city is examined. The tickets are classified according to the race or ethnicity of the driver. The results are summarized in the following table.

The proportion of this city's population in each of the racial/ethnic categories listed is as follows.

We wish to test H0: The racial/ethnic distribution of traffic tickets in the city is the same as the racial/ethnic distribution of the city's population.

We compute the value of the 2test statistic to be 6.57. Assuming that the conditions for inference are met, which of the following is the correct P-value?

a. Greater than0.20

b. Between 0.10and0.20

c. Between 0.05and0.10

d. Between 0.01and0.05

e. Less than0.01

Sorry, no chi-square We would prefer to learn from teachers who know their subject. Perhaps even preschool children are affected by how knowledgeable they think teachers are. Assign 48three- and four-year-olds at random to be taught the name of a new toy by either an adult who claims to know about the toy or an adult who claims not to know about it. Then ask the children to pick out a picture of the new toy from a set of pictures of other toys and say its name. The response variable is the count of right answers in four tries. Here are the data:

The researchers report that children who were taught by the teacher claiming to be knowledgeable did significantly better (2=20.4,P<0.05), Explain why this result isn't valid.

Where do you live? Conduct a follow-up analysis for the test in Exercise 49.

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