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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. What is the average voter turnout during an election? A random sample of 38cities was asked to report the percent of registered voters who voted in the most recent election.

b. Are blondes more likely to have a boyfriend than the rest of the single world? Independent random samples of 300 blondes and 300 nonblondes were asked whether they have a boyfriend.

Short Answer

Expert verified

a. One-sample t interval for the mean should be used.

b. Z-test of proportion for two sample 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

Whenitcomestoelections,whatisthetypicalvoterturnout?
The percentage of registered voters who voted in the most recent election was requested from a random sample of 33cities.
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. It is necessary to check the average voter in the given scenario.
That is to say, you are interested in the average of one sample. As a result, the mean should be calculated using a one-sample t interval.
03

Part (b) Step 1 : Given information

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

04

Part (b) Step 2 : Simplification

Are blondes more likely than the rest of the single world to have a boyfriend? 300blondes and 300nonblondes were randomly selected and asked if they had a boyfriend.
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. Check rises in the difference of two proportions of two samples in the provided example.
As a result, the proportion Z-test for two samples should be utilized.

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Most popular questions from this chapter

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.

Relaxing in the sauna Researchers followed a random sample of 2315middle-aged men from eastern Finland for up to 30years. They recorded how often each man went to a sauna and whether or not he suffered sudden cardiac death (SCD). The two-way table shows the data from the study.

a. State appropriate hypotheses for performing a chi-square test for independence in this setting.

b. Compute the expected counts assuming that H0is true.

c. Calculate the chi-square test statistic, df, and P-value.

d. What conclusion would you draw?

Treating ulcers Gastric freezing was once a recommended treatment for ulcers in the upper intestine. Use of gastric freezing stopped after experiments showed it had no effect. One randomized comparative experiment found that28of the 82gastric-freezing patients improved, while 30of the 78patients in the placebo group improved. We can test the hypothesis of 鈥渘o difference鈥 in the effectiveness of the treatments in two ways: with a two-sample z test or with a chi-square test.

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

b. Here is Minitab output for a chi-square test. Interpret the P-value. What conclusion would you draw?

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

No chi-square The principal in Exercise 7 also asked the random sample of students to record whether they did all of the homework that was assigned on each of the five school days that week. Here are the data:

The manager of a high school cafeteria is planning to offer several new types of food for student lunches in the new school year. She wants to know if each type of food will be equally popular so she can start ordering supplies and making other plans. To find out, she selects a random sample of 100students and asks them, 鈥淲hich type of food do you prefer: Ramen, tacos, pizza, or hamburgers?鈥 Here are her data:

The chi-square test statistic is

a. (1825)225+(2225)225+(3925)225+(2125)225

b. (2518)218+(2522)222+(2539)239+(2521)221

c. (1825)25+(2225)25+(3925)25+(2125)25

d. (1825)2100+(2225)2100+(3925)2100+(2125)2100

e. (0.180.25)20.25+(0.220.25)20.25+(0.390.25)20.25+(0.210.25)20.25

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