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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 fathers? Use the a= 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. E Click the icon to view the table of data. Which conditions must be met by the sample for this test? Select all that apply. Table of height data O A. The sample size must be large. O B. The sampling method results in an independent sample. Height of Father, X, Height of D O C. The sample size is no more than 5% of the population size. Son, Y; 71.6 71.6 76.7 O D. The differences are normally distributed or the sample size is large. O E. The sampling method results in a dependent sample. 75.1 69.1 71.7 72.9 68.1 74.7 Let d, = X - Y Write the hypotheses for the test 69.4 67.9 67.0 67.9 72.0 66.3 69.1 68.2 Hg: H,: 67.2 67.1 68.6 73.3 68.1 Calculate the test statistic. 71.6 tn = (Round to two decimal places as needed.) 71.7 67.7 62.8 Calculate the P-value. P-value = (Round to three decimal places as needed.) Print Done Should the null hypothesis be rejected? V H, because the P-value is the level of significance. There sufficient evidence to conclude that sons their fathers at the 0.05 level of significance.

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 fathers? Use the a= 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. E Click the icon to view the table of data. Which conditions must be met by the sample for this test? Select all that apply. Table of height data O A. The sample size must be large. O B. The sampling method results in an independent sample. Height of Father, X, Height of D O C. The sample size is no more than 5% of the population size. Son, Y; 71.6 71.6 76.7 O D. The differences are normally distributed or the sample size is large. O E. The sampling method results in a dependent sample. 75.1 69.1 71.7 72.9 68.1 74.7 Let d, = X - Y Write the hypotheses for the test 69.4 67.9 67.0 67.9 72.0 66.3 69.1 68.2 Hg: H,: 67.2 67.1 68.6 73.3 68.1 Calculate the test statistic. 71.6 tn = (Round to two decimal places as needed.) 71.7 67.7 62.8 Calculate the P-value. P-value = (Round to three decimal places as needed.) Print Done Should the null hypothesis be rejected? V H, because the P-value is the level of significance. There sufficient evidence to conclude that sons their fathers at the 0.05 level of significance.

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 fathers? Use the a = 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. E Click the icon to view the table of data. O Table of height data - X Which conditions must be met by the sample for this test? Select all that apply. O A. The sample size must be large. O B. The sampling method results in an independent sample. |C. The sample size is no more than 5% of the population size. Height of Father, X; Height of O Son, Y, 71.6 76.7 O D. The differences are normally distributed or the sample size is large. O E. The sampling method results in a dependent sample. 71.6 75.1 69.1 71.7 72.9 74.7 Let d, = X - Y Write the hypotheses for the test. 68.1 69.4 67.2 67.9 Ho: 67.1 67.0 67.9 72.0 68.6 H,: 73.3 68.1 66.3 Calculate the test statistic. 71.6 69.1 71.7 67.7 68.2 t, =(Round to two decimal places as needed.) 62.8 Calculate the P-value. P-value = (Round to three decimal places as needed.) Print Done Should the null hypothesis be rejected? H, because the P-value is the level of significance. There V sufficient evidence to conclude that sons their fathers at the 0.05 level of significance.
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 fathers? Use the a = 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. E Click the icon to view the table of data. O Table of height data - X Which conditions must be met by the sample for this test? Select all that apply. O A. The sample size must be large. O B. The sampling method results in an independent sample. |C. The sample size is no more than 5% of the population size. Height of Father, X; Height of O Son, Y, 71.6 76.7 O D. The differences are normally distributed or the sample size is large. O E. The sampling method results in a dependent sample. 71.6 75.1 69.1 71.7 72.9 74.7 Let d, = X - Y Write the hypotheses for the test. 68.1 69.4 67.2 67.9 Ho: 67.1 67.0 67.9 72.0 68.6 H,: 73.3 68.1 66.3 Calculate the test statistic. 71.6 69.1 71.7 67.7 68.2 t, =(Round to two decimal places as needed.) 62.8 Calculate the P-value. P-value = (Round to three decimal places as needed.) Print Done Should the null hypothesis be rejected? H, because the P-value is the level of significance. There V sufficient evidence to conclude that sons their fathers at the 0.05 level of significance.
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