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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.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 14PPS
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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.
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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