During a study, we asked a sample of 1200students (760 women, 440 men) about howthey felt about their body, in order todetermine if there are differences betweenwomen and men. We found the followingresults:Femaleo 560 felt their body looked about righto 163 thought they were overweighto 37 thought they were underweightMaleo 295 felt their body looked about righto 72 thought they were overweighto 73 thought they were underweightCreate a contingency table, presenting the rowand column totals. Then, perform ahomogeneity test to compare the distributionof body image by gender. At the 1% level, domen and women have the same body image?Do not forget to define your hypothesis andinterpret your results!

Answered: Image /qna-images/answer/94116970-a7a9-4d8c-a3aa-0acce3da378e.jpg

Answered: During a study, we asked a sample of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Two hundred students were sampled in the College of Engineering. It was found that: 137 take math, 50 take history, 124 take English, 33 take math and history, 29 take history and English, 92 take math and English, 18 take math, history and English. From the given information, there are a. Blank 1 students taking neither math nor history. b. Blank 2 students taking at least 2 subjects. c. Blank 3 students taking no more than one subject.
A large group of workers is divided into three departments: those who work in special operations, those who work on the main floor, and those who work in management. Strep throat has been going around and a health inspector would like to know if there is a relationship between department and having strep throat. She selects a random sample of 100 workers and classifies each one according to their department and whether they have strep throat. The data are displayed in the table. The health inspector would like to know if these data provide convincing evidence that the distribution of strep throat status differs across the departments in the population of all workers of this large company. What is the appropriate inference procedure? chi-square test for goodness of fit because the data come from one random sample chi-square test for homogeneity because the data come from independent random samples chi-square test for association/independence because the data come from one random…
A sample of 296 students at a university is surveyed. The students are classified according to gender ("female" or "male"). They are also classified according to major ("biology", "business", "engineering", "mathematics", or "computer science"). The results are given in the contingency table below. Biology Business Engineering Mathematics Female 33 30 22 45 Male 24 43 26 16 Among all the students in the sample, what is the relative frequency of male computer science majors? Round your answer to two decimal places. 1 X Computer science 41 16 Españ Aa
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A J.D. Power and Associates vehicle quality survey asked new owners a variety of questions about their recently purchased automobile. One question asked for the owner's rating of the vehicle using categorical responses of average, outstanding, and exceptional. Another question asked for the owner's education level with the categorical responses some high school, high school graduate, some college, and college graduate. Assume the sample data below are for 500 owners who had recently purchased an automobile. Education Quality Rating Some HS HS Grad Some College College Grad Average 30 30 20 60 Outstanding 50 50 50 90 Exceptional 20 20 30 50 a. Use a 0.05 level of significance and a test of independence to determine if a new owner's vehicle quality rating is independent of the owner's education. Compute the value of the x test statistic (to 2 decimals). Use Table 3 of Appendix B to find the p-value. The p-value is - Select your answer - What is your conclusion? - Select your answer - v…
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Assume that 135 surveys are completed. Of those surveyed, 61 responded positively to effectiveness, 65 responded positively to side effects, and 63 responded positively to cost. Also, 26 responded positively to both effectiveness and side effects, 29 to effectiveness and cost, 26 to side effects and cost, and 16 to none of the items. How many responded positively to all three?

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