5. A recent study of gender preferences among car shoppers found that men and women equallyfavor economy cars. A marketing analyst doubts these results. He believes that a person'sgender influences whether or not he/she purchases an economy car. He collects data on 4002recent car purchases cross-classified by gender and type of car (economy car versus non-economy car). The results are shown as follows:Economy CarNon-economy CarFemale| Malea. State null and alternative hypotheses to determine whether the sample data support themarketing analyst's claim.b. What are expected frequencies for each item?|5060120170c. At the 10% significance level, what is the degree of freedom? What is the value of thetest statistic? What is the critical value? Using the critical value approach, what is yourconclusion? Interpret.

Answered: Image /qna-images/answer/971e2700-0221-4533-975a-508d6d24ec56.jpg

Answered: 5. A recent study of gender preferences…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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a. Describe the following variables with respective data types 1. Respondent's identification number : ID 2. Province the respondents live in (Alberta & British Columbia) 3. Respondent's gender (Male, Female) 4. Respondent's ethnicity (Caucasian, Black) 5. Respondent's age (AGE) 6. Respondent's religious affiliation  Protestant  Catholic  Jewish  None  Other
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5. In the United States, there is a strong relationship between education and smoking: well-educated people are less likely to smoke. Does a similar relationship hold in France? To find out, researchers recorded the level of education and smoking status of a random sample of 459 French men aged 20 to 60 years.36 The two-way table below displays the data. Is there convincing evidence of an association between smoking status and educational level among French men aged 20 to 60 years? Smoking Status Nonsmoker Former Moderate Heavy Primary School 56 54 41 36 Education Secondary School 37 43 27 32 University 53 28 36 16
7) The following results are from data that were collected from a sample of Chicago Cubs baseball games. The dependent variable is ATTENDANCE, TEMP is a variable measuring the forecasted game-time temperature: WIN% is a variable measuring the winning percentage of the Cubs before the game is played, OPWIN% is a variable measuring the winning percentage of their opponent, WEEKEND is a dummy variable = 1 if the game is played on a weekend and = 0 if the game is played during a weekday, PROMOTION is a dummy variable = 1 if there is a promotion for the game (giving away something to those who attend the game) and = 0 if there is not a promotion, and WEEK*PROM is an interaction term equal to WEEKEND*PROMOTION. a) What is the predicted attendance if TEMP = 70, WIN% = 500, OPWIN% = 500, the game is played on a weekend and there is NO promotion? b) What is the predicted attendance if TEMP = 70, WIN% = 500, OPWIN% = 500, the game is played on a weekend and there is a promotion? c) Based on…
Can someone please help? Thank you.
Medical researchers followed 6272 Swedish men for 30 years to see if there was any association between the amount of fish in their diet and prostate cancer. (“Fatty Fish Consumption and Risk of Prostate Cancer,” Lancet, June 2001). A summary of the data is given in the table below. Fish Consumption No Prostate Cancers Prostate Cancers Never/Seldom 110 14 Small part of diet 2420 201 Moderate part of diet 2769 209 Large part of diet 507 42 A) If a patient is randomly selected, what is the probability that he/she had prostate cancer given that fish was never or seldom a part of the diet? Round your answer to three decimal places and include the leading zero. B) If a patient is randomly selected, what is the probability that s/he ate fish as a large part of their diet given that they had prostate cancer. Round your answer to two decimal places and include the leading zero.
We discuss how to test for an association between two categorical variables in Section 6.8. A marine research team records the number of fish from 3 species that they find at different depth categories in the ocean. They are interested in assessing whether or not there is a relationship between the depth category (close to surface, mid-level, ocean floor) and the fish species found (species A, species B, species C). A two-way table showing the classification of a sample of 150 observations is given below. If the variables for the ocean depth category and the species are independent, how would you calculate the expected number of fish that are at the mid-level and from species C? Expected number =
A researcher wants to study the relationship between salary and gender. She randomly selects 392 individuals and determines their salary and gender. Can the researcher conclude that salary and gender are dependent? Income Male Female Total Below $25,000$⁢25,000 48 45 93 $25,000$⁢25,000-$50,000$⁢50,000 38 36 74 $50,000$⁢50,000-$75,000$⁢75,000 46 40 86 Above $75,000$⁢75,000 68 71 139 Total 200 192 392 State the conclusion of the hypothesis test at the 0.010.01 level of significance.
A graphing calculator is recommended.The following table lists the number of pages in four different types of magazines. Home decorating News Health Computer 175 89 85 104 287 95 157 139 165 123 91 98 209 107 106 209 199 101 97 147 Using a significance level of 5%, test the hypothesis that the four magazine types have the same average length. (Let 1 = Home decorating, 2 = News, 3 = Health and 4 = Computer.) 1.)Enter an exact number as an integer, fraction, or decimal.df(num) = 2.) Enter an exact number as an integer, fraction, or decimal.df(denom) = 3.)What is the test statistic? (Round your answer to two decimal places.) 4.)What is the p-value? (Round your answer to four decimal places.) 5.)(i) Alpha (Enter an exact number as an integer, fraction, or decimal.)? =

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