Statistics, Books a la Carte Edition Plus MyLab Statistics with Pearson eText -- Access Card Package (4th Edition)

4th Edition

ISBN: 9780134435855

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

Publisher: PEARSON

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Textbook Question

Chapter 12.2, Problem 18PB

CI and two-sided tests correspond Refer to the previous two exercises. Using significance level 0.05, what decision would you make? Explain how that decision is in agreement with whether 0 falls in the confidence interval. Do this for the data for both the boys and the girls.

12.16 More boys are bad? A study of 375 women who lived in pre-industrial Finland (by S. Helle et al., Science, vol. 296, p. 1085, 2002), using Finnish church records from 1640 to 1870, found that there was roughly a linear relationship between y = life length (in years) and x = number of sons the woman had, with a slope estimate of −0.65 (se = 0.29).

a. Interpret the sign of the slope. Is the effect of having more boys good or bad?
b. Show all steps of the test of the hypothesis that life length is independent of number of sons for the two-sided alternative hypothesis. Interpret the P-value.
c. Construct a 95% confidence interval for the true slope. Interpret. Is it plausible that the effect is relatively weak, with true slope near 0?

12.17 More boys are bad? A study of 375 women who lived in pre-industrial Finland (by S. Helle et al., Science, vol. 296, p. 1085, 2002), using Finnish church records from 1640 to 1870, found that there was roughly a linear relationship between y = life length (in years) and x = number of sons the woman had, with a slope estimate of −0.65 (se = 0.29).

a. Interpret the sign of the slope. Is the effect of having more boys good or bad?
b. Show all steps of the test of the hypothesis that life length is independent of number of sons for the two-sided alternative hypothesis. Interpret the P-value.
c. Construct a 95% confidence interval for the true slope. Interpret. Is it plausible that the effect is relatively weak, with true slope near 0?

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Chapter 12.2, Problem 17PB

Chapter 12.2, Problem 19PB

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Chapter 12 Solutions

Statistics, Books a la Carte Edition Plus MyLab Statistics with Pearson eText -- Access Card Package (4th Edition)

Ch. 12.1 - Car mileage and weight The Car Weight and Mileage...Ch. 12.1 - Prob. 2PB Ch. 12.1 - Predicting maximum bench strength in males For the...Ch. 12.1 - Prob. 4PB Ch. 12.1 - Mu, not y For a population regression equation,...Ch. 12.1 - Prob. 6PB Ch. 12.1 - Study time and college GPA Exercise 3.39 in...Ch. 12.1 - Prob. 8PB Ch. 12.1 - Cell phone specs Refer to the cell phone data set...Ch. 12.1 - Prob. 10PB

Ch. 12.2 - t-score? A regression analysis is conducted with...Ch. 12.2 - Prob. 12PB Ch. 12.2 - Confidence interval for slope Refer to the...Ch. 12.2 - Prob. 14PB Ch. 12.2 - Strength through leg press The high school female...Ch. 12.2 - Prob. 16PB Ch. 12.2 - More girls are good? Repeat the previous exercise...Ch. 12.2 - CI and two-sided tests correspond Refer to the...Ch. 12.2 - Advertising and sales Each month, the owner of Caf...Ch. 12.2 - Prob. 20PB Ch. 12.2 - GPA and skipping classrevisited Refer to the...Ch. 12.2 - Prob. 22PB Ch. 12.3 - Dollars and thousands of dollars If a slope is...Ch. 12.3 - Prob. 24PB Ch. 12.3 - Sketch scatterplot Sketch a scatterplot,...Ch. 12.3 - Prob. 26PB Ch. 12.3 - Body fat For the Male Athlete Strength data file...Ch. 12.3 - Prob. 28PB Ch. 12.3 - SAT regression toward mean Refer to the previous...Ch. 12.3 - Prob. 30PB Ch. 12.3 - GPA and study time Refer to the association you...Ch. 12.3 - Prob. 32PB Ch. 12.3 - Does tutoring help? For a class of 100 students,...Ch. 12.3 - Prob. 34PB Ch. 12.3 - Golf regression In the first round of a golf...Ch. 12.3 - Prob. 36PB Ch. 12.3 - Food and drink sales The owner of Berthas...Ch. 12.3 - Prob. 38PB Ch. 12.3 - Violent crime and single-parent families Use...Ch. 12.4 - Poor predicted strengths The MINITAB output shows...Ch. 12.4 - Prob. 42PB Ch. 12.4 - Bench press residuals The figure is a histogram of...Ch. 12.4 - Predicting house prices The House Selling Prices...Ch. 12.4 - Predicting clothes purchases For a random sample...Ch. 12.4 - Prob. 46PB Ch. 12.4 - ANOVA table for leg press Exercise 12.15 referred...Ch. 12.4 - Prob. 48PB Ch. 12.4 - Variability and F Refer to the previous two...Ch. 12.4 - Understanding an ANOVA table For a random sample...Ch. 12.4 - Predicting cell phone weight Refer to the cell...Ch. 12.4 - Cell phone ANOVA Report the ANOVA table for the...Ch. 12.5 - Savings grow exponentially You invest 100 in a...Ch. 12.5 - Prob. 55PB Ch. 12.5 - Prob. 56PB Ch. 12.5 - Prob. 57PB Ch. 12.5 - Prob. 58PB Ch. 12.5 - Prob. 59PB Ch. 12.5 - Prob. 60PB Ch. 12.5 - Prob. 61PB Ch. 12 - Prob. 62CP Ch. 12 - Prob. 63CP Ch. 12 - Prob. 64CP Ch. 12 - Prob. 65CP Ch. 12 - Prob. 66CP Ch. 12 - Prob. 67CP Ch. 12 - Prob. 68CP Ch. 12 - Prob. 69CP Ch. 12 - Prob. 70CP Ch. 12 - Prob. 71CP Ch. 12 - Prob. 72CP Ch. 12 - Prob. 73CP Ch. 12 - Prob. 74CP Ch. 12 - World population growth The table shows the world...Ch. 12 - Prob. 76CP Ch. 12 - Prob. 77CP Ch. 12 - Prob. 78CP Ch. 12 - Prob. 79CP Ch. 12 - Prob. 81CP Ch. 12 - Prob. 82CP Ch. 12 - Prob. 83CP Ch. 12 - Prob. 84CP Ch. 12 - Prob. 85CP Ch. 12 - Prob. 86CP Ch. 12 - Prob. 87CP Ch. 12 - Prob. 88CP Ch. 12 - Prob. 89CP Ch. 12 - Assumptions What assumptions are needed to use the...Ch. 12 - Assumptions fail? Refer to the previous exercise....Ch. 12 - Lots of standard deviations Explain carefully the...Ch. 12 - Decrease in home values A Freddie Mac quarterly...Ch. 12 - Population growth Exercise 12.57 about U.S....Ch. 12 - Multiple choice: Interpret r One can interpret r =...Ch. 12 - Multiple choice: Correlation invalid The...Ch. 12 - Multiple choice: Slope and correlation The slope...Ch. 12 - Multiple choice: Regress x on y The regression of...Ch. 12 - Multiple choice: Income and height University of...Ch. 12 - True or false The variables y = annual income...Ch. 12 - Prob. 101CP Ch. 12 - Why is there regression toward the mean? Refer to...Ch. 12 - Prob. 103CP Ch. 12 - Prob. 104CP Ch. 12 - Prob. 105CP Ch. 12 - Prob. 106CP

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Solution Summary: The author explains how the decision is in agreement with whether "0" falls in the confidence interval.

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