The following table describes number of cases for a breathing testing result between smoking status by age groups, as group 1 is below 40 years old and group 2 is between 40 and 59 years old, in Houston in 1974-1975. Using two sample test for binomial proportion. Age <40 40 - 59 Smoking Non Smoker Smoker Non Smoker Smoker Breathing Test Results Normal Not Normal 577 682 164 245 34 57 4 74 Total 611 739 168 319 (a) Compute the 99% confidence interval for the difference of abnormal rate ofbreathing testing between non smoker and smoker for the group of Age < 40 and Age 40 - 59 respectively. (b) Test whether there is a significant difference for the breathing test resultbetween non smoker and smoker for both groups at significance level level a = 0.01.
The following table describes number of cases for a breathing testing result between smoking status by age groups, as group 1 is below 40 years old and group 2 is between 40 and 59 years old, in Houston in 1974-1975. Using two sample test for binomial proportion. Age <40 40 - 59 Smoking Non Smoker Smoker Non Smoker Smoker Breathing Test Results Normal Not Normal 577 682 164 245 34 57 4 74 Total 611 739 168 319 (a) Compute the 99% confidence interval for the difference of abnormal rate ofbreathing testing between non smoker and smoker for the group of Age < 40 and Age 40 - 59 respectively. (b) Test whether there is a significant difference for the breathing test resultbetween non smoker and smoker for both groups at significance level level a = 0.01.
A First Course in Probability (10th Edition)
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Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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
Transcribed Image Text:The following table describes number of cases for a breathing testing result between smoking
status by age groups, as group 1 is below 40 years old and group 2 is between 40 and 59 years
old, in Houston in 1974-1975. Using two sample test for binomial proportion.
Age
< 40
40 - 59
Smoking
Non Smoker
Smoker
Non Smoker
Smoker
Breathing Test Results
Normal Not Normal
577
682
164
245
34
57
4
74
Total
611
739
168
319
(a) Compute the 99% confidence interval for the difference of abnormal rate ofbreathing
testing between non smoker and smoker for the group of Age < 40 and Age 40 - 59
respectively.
(b) Test whether there is a significant difference for the breathing test resultbetween non
smoker and smoker for both groups at significance level level a = 0.01.
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