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In the United States, there has historically been a strong relationship between smoking and education, with well-educated people less likely to smoke. To examine whether this pattern has changed, a sample of 459 men was selected at random from those who had visited a health center for a routine check-up over the course of the past year. Education is classified into three categories corresponding to the highest level of education achieved, and smoking status is classified into four categories. Smoking Status Education Nonsmoker Former Moderate Heavy Tota 56 54 41 36 187 37 43 27 32 139 53 28 36 16 133 146 125 104 84 459 High school College Graduate Total We wish to test if this data significantly supports the claim that there is some relationship between education and smoking status. The chi-squared test statistic for this two-way table is x² = 13.305. Estimate the P-value for the associated chi-square test of significance. 0.10 < P < 0.15 0.25 < P 0.025 P < 0.05 0.15 < P < 0.20

In the United States, there has historically been a strong relationship between smoking and education, with well-educated people less likely to smoke. To examine whether this pattern has changed, a sample of 459 men was selected at random from those who had visited a health center for a routine check-up over the course of the past year. Education is classified into three categories corresponding to the highest level of education achieved, and smoking status is classified into four categories. Smoking Status Education Nonsmoker Former Moderate Heavy Tota 56 54 41 36 187 37 43 27 32 139 53 28 36 16 133 146 125 104 84 459 High school College Graduate Total We wish to test if this data significantly supports the claim that there is some relationship between education and smoking status. The chi-squared test statistic for this two-way table is x² = 13.305. Estimate the P-value for the associated chi-square test of significance. 0.10 < P < 0.15 0.25 < P 0.025 P < 0.05 0.15 < P < 0.20

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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In the United States, there has historically been a strong relationship between smoking and education, with well-educated people less likely to smoke. To examine whether this pattern has changed, a sample of 459 men was selected at random from those who had visited a health center for a routine check-up over the course of the past year. Education is classified into three categories corresponding to the highest level of education achieved, and smoking status is classified into four categories. Smoking Status Education Nonsmoker Former Moderate Heavy Tota 56 54 41 36 187 37 43 27 32 139 53 28 36 16 133 146 125 104 84 459 High school College Graduate Total We wish to test if this data significantly supports the claim that there is some relationship between education and smoking status. The chi-squared test statistic for this two-way table is x² = 13.305. Estimate the P-value for the associated chi-square test of significance. 0.10 < P < 0.15 0.25 < P 0.025 < P < 0.05 0.15 < P < 0.20
Transcribed Image Text:In the United States, there has historically been a strong relationship between smoking and education, with well-educated people less likely to smoke. To examine whether this pattern has changed, a sample of 459 men was selected at random from those who had visited a health center for a routine check-up over the course of the past year. Education is classified into three categories corresponding to the highest level of education achieved, and smoking status is classified into four categories. Smoking Status Education Nonsmoker Former Moderate Heavy Tota 56 54 41 36 187 37 43 27 32 139 53 28 36 16 133 146 125 104 84 459 High school College Graduate Total We wish to test if this data significantly supports the claim that there is some relationship between education and smoking status. The chi-squared test statistic for this two-way table is x² = 13.305. Estimate the P-value for the associated chi-square test of significance. 0.10 < P < 0.15 0.25 < P 0.025 < P < 0.05 0.15 < P < 0.20
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