Many young men in North America and Europe (but not in Asia) tend to think they need more muscle to be attractive. Onestudy presented 200 young American men with 100 images of men with various levels of muscle. Researchers measure levelof muscle in kilograms per square meter (kg/m2) of fat-free body mass. Typical young men have about 20 kg/m2. Eachsubject chose two images, one that represented his own level of body muscle and one that he thought represented "what21women prefer." The mean gap between self-image and "what women prefer" was 2.35 kg/m2.99Suppose that the "muscle gap" in the population of all young men has a Normal distribution with standard deviation2.5 kg/m2. Give a 90% confidence interval for the mean amount of muscle young men think they should add to be attractiveto women. (Enter your answers rounded to four decimal places.)lower limit17.4125kg/m2upper limit =17.8875kg/m²Question Source: Moore, The Basic Practice Of Statistics, 8ePublisher: W.H. Free

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Answered: Many young men in North America and…

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 31EQ

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Research done at the Harvard School of Public Health showed that regular soda drinkers may have a tendency toward the weak and brittle bones associated with osteoporosis. They surveyed 2,622 women who were active athletes in college and classified them as to whether they regularly drank soft drinks or rarely drank soft drinks. The proportion of women ineach group who suffered from bone fractures was determined. The findings: those who regularly drank soft drinks were twice as likely to suffer from bone fractures as those who rarely drank soft drinks. Source: Health and Fitness News Service, August 21, 1996. What was the response variable? What are some possible confounding variables in this study?
This obstetrician also wanted to determine the impact that three experimental diets had on the birth weights of pregnant mothers. She was also interested if age had an impact on birth weights. She randomly selected 27 pregnant mothers in the first trimester of whom 9 were 20 to 29 years old, 9 were 30 to 39 years old, and 9 were 40 or older. For each age group, she randomly assigned the mothers to one of three diets. After delivery, she measured the birth weight (in grams) of the babies and obtained the data a)How many treatments are there? b)What type of design is this? How many replications are there within each cell?

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