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!

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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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The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains (Consumer Reports website). One of the variables in the study is meal price, the average amount paid per person for dinner and drinks, minus the tip. Suppose a reporter for the Sun Coast Times thought that it would be of interest to her readers to conduct a similar study for restaurants located on the Grand Strand section in Myrtle Beach, South Carolina. The reporter selected a sample of 8 seafood restaurants, 8 Italian restaurants, and 8 steakhouses. The following data show the meal prices ($) obtained for the 24 restaurants sampled. Use a = 0.05 to test whether there is a significant difference among the mean meal price for the three types of restaurants. Source Sum of Squares Degrees Mean Square F P-value of Variation (to whole number) of Freedom (to 2 decimals) (to 2 decimals) (to 4 decimals) X X (X) * X * * Treatments Error Total The p-value is less than 0.01…
A local company is interested in supporting environmentally friendly initiatives such as carpooling among employees. The company surveyed all of the 200 employees at the downtown offices. Employees responded as to whether or not they own a car and to the location of the home where they live. The results are shown in the table below. If the person owns a car, he or she is more likely to live elsewhere in the city than to live in the downtown area in the city. If the person does not own a car, he or she is more likely to live outside the city than to live in the city (downtown area or elsewhere). The person is more likely to own a car if he or she lives in the city (downtown area or elsewhere) than if he or she lives outside the city. The person is more likely to live in the downtown area in the city than elsewhere in the city. The person is more likely to own a car than not to own a car.
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.
A sample of 349 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 Computer science Female 40 24 33 44 32 Male 29 35 32 37 43 What is the relative frequency of female students in the sample? Round your answer to two decimal places. 0 X S ?
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A small college has been accused of gender bias in its admissions to graduate programs. a. Out of 500 men who applied, 255 were accepted. Out of 700 women who applied, 240 were accepted. Find the acceptance rate for each gender. Does this suggest bias? b. The college then looked at each of the two departments with graduate programs and found the data below. Compute the acceptance rate within each department by gender. Does this suggest bias? Department Men Women Applied Admitted Applied Admitted Dept A 400 240 100 90 Dept B 100 15 600 150 c. Looking at our results from Parts a and b, what can you conclude? Is there gender bias in this college’s admissions? If so, in which direction?
490 undergraduate students at a state university in the southwestern region of the United States were surveyed. Each student in the sample was classified according to class standing (freshman, sophomore, junior, or senior) and body are category (body piercings only, tattoos only, both tattoos and body piercings, no body art). Use the data in the accompanying table to determine if there is an association between class standing and body art category. Assume that it is reasonable to regard the sample as representative of the students at this university. Use α = 0.01. 1. What type of question is this-estimation or hypothesis?2. What type of study is this sample data or experiment data?3. What type of data is this? Univariate or bivariate? Categorical or Numerical?4. How many samples or treatments?
8) In the US, 4.5% of the population identifies as lesbian, gay, bisexual, or transgender (see, for instance, this report). In the UK, the LGBT community accounts for 1.5% of the population. Which of the following can be inferred from the given information? a) The number of LGBT individuals in the US is greater than that in the UK. b) The proportion of LGBT individuals in the US is 3% greater than the proportion of LGBT individuals in the UK. c) The proportion of LGBT individuals in the UK is 3% less than that in the US. d) The proportion of LGBT individuals in the UK is 200% greater than that in the US. e) The proportion of LGBT individuals in the US is 200% greater than that in the UK.
The following contingency table represents a cross-classification of hair color and eye color males. Is there an association between hair and eye color in males? Hair Color Eye Color H1 Н2 H3 H4 E1 1768 807 189 47 E2 946 1387 746 53 ЕЗ 115 438 288 16
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?
A sample of 306 people is surveyed. The people are classified according to political affiliation ("Democrat", "Republican", or "Independent"). They are also classified according to opinion on a bill ("in favor of", "opposed to", or "indifferent to"). The results are given in the contingency table below. In favor of Opposed to Indifferent to Democrat 20 38 41 Republican 20 29 44 Independent 49 37 28 What is the relative frequency of respondents who are in favor of the bill? Round your answer to two decimal places. ?

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