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To test the belief that sons are taller than their fathers, a student randomly selects 13 fathers who have adult male children. She records the height of both the father and son in inches and obtains the following data. Are sons taller than their fathers? Use the x = 0.05 level of significance. Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. Click the icon to view the table of data. Which conditions must be met by the sample for this test? Select all that apply. A. The sample size must be large. B. The sample size is no more than 5% of the population size. C. The sampling method results in an independent sample. D. The sampling method results in a dependent sample. E. The differences are normally distributed or the sample size is large. Table of height data Height of Father, X; 72.8 72.8 72.2 66.7 71.9 68.2 68.6 72.5 68.7 71.2 72.2 71.3 73.2 Height of Son, Y₁ 77.7 76.3 74.7 68.5 73.0 68.7 68.5 71.8 67.6 69.4 69.8 67.8 68.3 D - X

To test the belief that sons are taller than their fathers, a student randomly selects 13 fathers who have adult male children. She records the height of both the father and son in inches and obtains the following data. Are sons taller than their fathers? Use the x = 0.05 level of significance. Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. Click the icon to view the table of data. Which conditions must be met by the sample for this test? Select all that apply. A. The sample size must be large. B. The sample size is no more than 5% of the population size. C. The sampling method results in an independent sample. D. The sampling method results in a dependent sample. E. The differences are normally distributed or the sample size is large. Table of height data Height of Father, X; 72.8 72.8 72.2 66.7 71.9 68.2 68.6 72.5 68.7 71.2 72.2 71.3 73.2 Height of Son, Y₁ 77.7 76.3 74.7 68.5 73.0 68.7 68.5 71.8 67.6 69.4 69.8 67.8 68.3 D - X

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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To test the belief that sons are taller than their fathers, a student randomly selects 13 fathers who have adult male children. She records the height of both the father and son in inches and obtains the following data. Are sons taller than their fathers? Use the x = 0.05 level of significance. Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. Click the icon to view the table of data. Which conditions must be met by the sample for this test? Select all that apply. A. The sample size must be large. B. The sample size is no more than 5% of the population size. C. The sampling method results in an independent sample. D. The sampling method results in a dependent sample. E. The differences are normally distributed or the sample size is large. Table of height data Height of Father, X₁ 72.8 72.8 72.2 66.7 71.9 68.2 68.6 72.5 68.7 71.2 72.2 71.3 73.2 Height of Son, Y₁ 77.7 76.3 74.7 68.5 73.0 68.7 68.5 71.8 67.6 69.4 69.8 67.8 68.3 X
Transcribed Image Text:To test the belief that sons are taller than their fathers, a student randomly selects 13 fathers who have adult male children. She records the height of both the father and son in inches and obtains the following data. Are sons taller than their fathers? Use the x = 0.05 level of significance. Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. Click the icon to view the table of data. Which conditions must be met by the sample for this test? Select all that apply. A. The sample size must be large. B. The sample size is no more than 5% of the population size. C. The sampling method results in an independent sample. D. The sampling method results in a dependent sample. E. The differences are normally distributed or the sample size is large. Table of height data Height of Father, X₁ 72.8 72.8 72.2 66.7 71.9 68.2 68.6 72.5 68.7 71.2 72.2 71.3 73.2 Height of Son, Y₁ 77.7 76.3 74.7 68.5 73.0 68.7 68.5 71.8 67.6 69.4 69.8 67.8 68.3 X
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