3rd Edition

ISBN: 9780135190210

Author: Gould

Publisher: PEARSON CO

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Chapter 13, Problem 24SE

Credit Card Debt A statistics student who was interested in credit card debt asked a random sample of students for the total amount of their credit card debt. We eliminated the two women and the one man who had a debt of 0, which left 18 women and 19 men.

Chapter 13, Problem 24SE, Credit Card Debt A statistics student who was interested in credit card debt asked a random sample , example 1

Chapter 13, Problem 24SE, Credit Card Debt A statistics student who was interested in credit card debt asked a random sample , example 2

a. By looking at the histograms of the data, determine whether it would be appropriate to do a two-sample t-test using this data set. Explain.

b. Refer to the Minitab output. Which group had a higher median debt in this sample?

c. Refer to the Minitab output provided to test whether the typical credit card debt (as measured by the median) is different for men and women, using a significance level of 0.05.

Chapter 13, Problem 24SE, Credit Card Debt A statistics student who was interested in credit card debt asked a random sample , example 3

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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Chapter 13, Problem 23SE

Chapter 13, Problem 25SE

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Chapter 13 Solutions

EP INTRODUCTORY STATISTICS-MYSTATLAB

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Solution Summary: The author explains that the two-sample test would be inappropriate for testing the differences between the credit card debt for each group.

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