Introduction To Statistics And Data Analysis
6th Edition
ISBN: 9781337793612
Author: PECK, Roxy.
Publisher: Cengage Learning,
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Chapter 10.4, Problem 50E
A study of fast-food intake is described in the paper “What People Buy from Fast-Food Restaurants” (Obesity [2009]: 1369–1374). Adult customers at three hamburger chains (McDonald’s, Burger King, and Wendy’s) at lunchtime in New York City were approached as they entered the restaurant and asked to provide their receipt when exiting. The receipts were then used to determine what was purchased and the number of calories consumed was determined. In all, 3857 people participated in the study. The sample mean number of calories consumed was 857 and the sample standard deviation was 677.
- a. The sample standard deviation is quite large. What does this tell you about number of calories consumed in a hamburger-chain lunchtime fast-food purchase in New York City?
- b. Given the values of the sample mean and standard deviation and the fact that the number of calories consumed can’t be negative, explain why it is not reasonable to assume that the distribution of calories consumed is normal.
- c. Based on a recommended daily intake of 2000 calories, the online Healthy Dining Finder (healthydiningfinder.com) recommends a target of 750 calories for lunch. Assuming that it is reasonable to regard the sample of 3857 fast-food purchases as representative of all hamburger-chain lunchtime purchases in New York City, carry out a hypothesis test to determine if the sample provides convincing evidence that the mean number of calories in a New York City hamburger-chain lunchtime purchase is greater than the lunch recommendation of 750 calories. Use α = 0.01. (Hint: See Example 10.15.)
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In a study of a group of women science majors who remained in their profession and a group who left their profession within a few months of graduation, the researchers collected the data shown here on a self-esteem questionnaire.
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1 = 3.09
2 = 2.92
σ1 = 0.78
σ2 = 0.78
n1 = 107
n2 = 222
At α = 0.01, can it be concluded that there is a difference in the self-esteem scores of the two groups? Use the P-value method.
In a study of a group of women science majors who remained in their profession and a group who left their profession within a few months of graduation, the researchers collected the data shown here on a self-esteem questionnaire.
Leavers Stayers1 = 3.05 2 = 2.92σ1 = 0.71 σ2 = 0.71n1 = 100 n2 = 227At α = 0.05, can it be concluded that there is a difference in the self-esteem scores of the two groups? Use the P-value method.
In a study of a group of women science majors who remained in their profession and a group who left their profession within a few months of graduation, the researchers collected the data shown here on a self-esteem questionnaire.
Leavers
Stayers
1 = 3.09
2 = 2.93
σ1 = 0.75
σ2 = 0.75
n1 = 101
n2 = 221
At α = 0.05, can it be concluded that there is a difference in the self-esteem scores of the two groups? Use the P-value method.
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Chapter 10 Solutions
Introduction To Statistics And Data Analysis
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