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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

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

Is your random number generator working? Use your calculator鈥檚 RandInt function to generate 200 digits from 0 to 9 and store them in a list.

a. State appropriate hypotheses for a chi-square test for goodness of fit to determine whether your calculator鈥檚 random number generator gives each digit an equal chance of being generated.

b. Carry out a test at the =0.05 significance level. Hint: To obtain the observed

counts, make a histogram of the list containing the 200 random digits, and use the trace feature to see how many of each digit were generated. You may have to adjust your window to go from 0.5to9.5 with an increment of 1

c. Assuming that a student鈥檚 calculator is working properly, what is the probability that the student will make a Type I error in part (b)?

d. Suppose that 25 students in an AP庐 Statistics class independently do this exercise for homework and that all of their calculators are working properly. Find the probability that at least one of them makes a Type I error.

Skittles庐 Statistics teacher Jason Mole sky contacted Mars, Inc., to ask about the color distribution for Skittles candies. Here is an excerpt from the response he received: 鈥淭he original flavor blend for the Skittles Bite Size Candies is lemon, green apple, orange, strawberry and grape. They were chosen as a result of consumer preference tests we conducted. The flavor blend is 20 percent of each flavor.鈥

a. State appropriate hypotheses for a significance test of the company鈥檚 claim.

b. Find the expected counts for a random sample of 60 candies.

c. How large a 2test statistic would you need to have significant evidence against the company鈥檚 claim at the 伪=0.05 level? At the =0.01 level?

d. Create a set of observed counts for a random sample of 60 candies that gives a P-value between 0.01 and 0.05 Show the calculation of your chi-square test statistic.

Which of the following statements about chi-square distributions are true?

I. For all chi-square distributions, P(x20)=1

II. A chi-square distribution with fewer than 10degrees of freedom is roughly symmetric.

III. The more degrees of freedom a chi-square distribution has, the larger the mean of the distribution.

a. I only

b. II only

c. III only

d. I and III

e. I, II, and III

More candy The two-way table shows the results of the experiment

described in Exercise 27.


Red SurveyBlue Survey
Control Survey
Total
Red Candy13
5
8
26
Blue Candy
7
15
12
34
Total20
20
20
60

a. State the appropriate null and alternative hypotheses.

b. Show the calculation for the expected count in the Red/Red cell. Then provide a

complete table of expected counts.

c. Calculate the value of the chi-square test statistic.

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