Statistics: The Art and Science of Learning from Data (4th Edition)

4th Edition

ISBN: 9780321997838

Author: Alan Agresti, Christine A. Franklin, Bernhard Klingenberg

Publisher: PEARSON

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Textbook Question

Chapter 10.4, Problem 50PB

Test for blood pressure Refer to the previous exercise. The output shows some results of using software to analyze the data with a significance test.

Paired T for Before–After

Chapter 10.4, Problem 50PB, Test for blood pressure Refer to the previous exercise. The output shows some results of using , example 1

T–Test of mean difference = 0 (vs ≠ 0) :

T–Value = 6.93 P–Value = 0.020

a. State the hypotheses to which the reported P-value refers.
b. Explain how to interpret the P-value. Does the exercise program seem beneficial to lowering blood pressure?
c. What are the assumptions on which this analysis is based?

10.49 Does exercise help blood pressure? Several recent studies have suggested that people who suffer from abnormally high blood pressure can benefit from regular exercise. A medical researcher decides to test her belief that walking briskly for at least half an hour a day has the effect of lowering blood pressure. She conducts a small pilot study. If results from it are supportive, she will apply for funding for a larger study. She randomly samples three of her patients who have high blood pressure. She measures their systolic blood pressure initially and then again a month later after they participate in her exercise program. The table shows the results.

Chapter 10.4, Problem 50PB, Test for blood pressure Refer to the previous exercise. The output shows some results of using , example 2

a. Explain why the three before observations and the three after observations are dependent samples.
b. Find the sample mean of the before scores, the sample mean of the after scores, and the sample mean of the difference scores d = before – after. How are they related?
c. Find a 95% confidence interval for the difference between the population means of subjects before and after going through such a study. Interpret.

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 10.4, Problem 49PB

Chapter 10.4, Problem 51PB

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Chapter 10 Solutions

Statistics: The Art and Science of Learning from Data (4th Edition)

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Solution Summary: The author explains that if the P-value is less than the level of significance, the null hypothesis will be rejected.

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