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

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
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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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