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(a) What proportion of the smokers were dead after 20 years? What proportion of the nonsmokers were dead after 20 years? What does this imply about the health consequences of smoking? The proportion of the smokers who were dead after 20 years is (Round to three decimal places as needed.) The proportion of the nonsmokers who were dead after 20 years is (Round to three decimal places as needed.) What does this imply about the health consequences of smoking? This implies that it is healthier to smoke. This implies that it is healthier not to smoke. (b) The data in the first table do not take into account a variable that is strongly related to survival status, age. The data shown in the second accompanying table give the survival status of women and their age at the beginning of the study. For example, 14 women who were 35 to 44 at the beginning of the study were smokers and dead after 20 years. Determine the proportion of 18- to 24-year-old smokers who were dead after 20 years. The proportion of 18- to 24-year-old smokers who were dead after 20 years is (Round to three decimal places as needed.) Determine the proportion of 18- to 24-year-old nonsmokers who were dead after 20 years. The proportion of 18- to 24-year-old nonsmokers who were dead after 20 years is (Round to three decimal places as needed.) (c) Repeat part (b) for the remaining age groups to create a conditional distribution of survival status by smoking status for each age group.

(a) What proportion of the smokers were dead after 20 years? What proportion of the nonsmokers were dead after 20 years? What does this imply about the health consequences of smoking? The proportion of the smokers who were dead after 20 years is (Round to three decimal places as needed.) The proportion of the nonsmokers who were dead after 20 years is (Round to three decimal places as needed.) What does this imply about the health consequences of smoking? This implies that it is healthier to smoke. This implies that it is healthier not to smoke. (b) The data in the first table do not take into account a variable that is strongly related to survival status, age. The data shown in the second accompanying table give the survival status of women and their age at the beginning of the study. For example, 14 women who were 35 to 44 at the beginning of the study were smokers and dead after 20 years. Determine the proportion of 18- to 24-year-old smokers who were dead after 20 years. The proportion of 18- to 24-year-old smokers who were dead after 20 years is (Round to three decimal places as needed.) Determine the proportion of 18- to 24-year-old nonsmokers who were dead after 20 years. The proportion of 18- to 24-year-old nonsmokers who were dead after 20 years is (Round to three decimal places as needed.) (c) Repeat part (b) for the remaining age groups to create a conditional distribution of survival status by smoking status for each age group.

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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Could it be that smoking actually increases survival rates among​ women? The accompanying data represent the​ 20-year survival status and smoking status of

1334 women who participated in a​ 20-year cohort study. Complete parts​ (a) through​ (e).
 
 
O A. (a) What proportion of the smokers were dead after 20 years? What proportion of the nonsmokers were dead after 20 years? What does this imply about the health consequences of smoking? The proportion of the smokers who were dead after 20 years is (Round to three decimal places as needed.) The proportion of the nonsmokers who were dead after 20 years is (Round to three decimal places as needed.) What does this imply about the health consequences of smoking? O This implies that it is healthier to smoke. This implies that it is healthier not to smoke. (b) The data in the first table do not take into account a variable that is strongly related to survival status, age. The data shown in the second accompanying table give the survival status of women and their age at the beginning of the study. For example, 14 women who were 35 to 44 at the beginning of the study were smokers and dead after 20 years. Determine the proportion of 18- to 24-year-old smokers who were dead after 20 years. The proportion of 18- to 24-year-old smokers who were dead after 20 years is (Round to three decimal places as needed.) Determine the proportion of 18- to 24-year-old nonsmokers who were dead after 20 years. The proportion of 18- to 24-year-old nonsmokers who were dead after 20 years is (Round to three decimal places as needed.) (c) Repeat part (b) for the remaining age groups to create a conditional distribution of survival status by smoking status for each age group. 18-24 25-34 35-44 Age Group 45-54 55-64 65-74 75 or older Smoker Nonsmoker 888888 (Round to three decimal places as needed.) (d) Draw a bar graph of the conditional distribution from part (c). Let the blue (left) bars represent smokers and let the red (right) bars represent nonsmokers. Choose the correct graph below. Relative Frequency 0.8 0.6 0.4 0.2 O B. Relative Frequency 0.8- 0.6- 0.4- 0.2 G (e) State the appropriate conclusion. Choose the correct answer below. OA. In almost all age groups, smokers had a higher death rate than nonsmokers. OB. There is no difference between smokers and nonsmokers. OC. In all age groups, smokers had a lower death rate than nonsmokers. D. In almost all age groups, smokers had a lower death rate than nonsmokers. OC. Relative Frequency 0.8 0.6 0.4 0.2 -го 28-34 65-
Transcribed Image Text:O A. (a) What proportion of the smokers were dead after 20 years? What proportion of the nonsmokers were dead after 20 years? What does this imply about the health consequences of smoking? The proportion of the smokers who were dead after 20 years is (Round to three decimal places as needed.) The proportion of the nonsmokers who were dead after 20 years is (Round to three decimal places as needed.) What does this imply about the health consequences of smoking? O This implies that it is healthier to smoke. This implies that it is healthier not to smoke. (b) The data in the first table do not take into account a variable that is strongly related to survival status, age. The data shown in the second accompanying table give the survival status of women and their age at the beginning of the study. For example, 14 women who were 35 to 44 at the beginning of the study were smokers and dead after 20 years. Determine the proportion of 18- to 24-year-old smokers who were dead after 20 years. The proportion of 18- to 24-year-old smokers who were dead after 20 years is (Round to three decimal places as needed.) Determine the proportion of 18- to 24-year-old nonsmokers who were dead after 20 years. The proportion of 18- to 24-year-old nonsmokers who were dead after 20 years is (Round to three decimal places as needed.) (c) Repeat part (b) for the remaining age groups to create a conditional distribution of survival status by smoking status for each age group. 18-24 25-34 35-44 Age Group 45-54 55-64 65-74 75 or older Smoker Nonsmoker 888888 (Round to three decimal places as needed.) (d) Draw a bar graph of the conditional distribution from part (c). Let the blue (left) bars represent smokers and let the red (right) bars represent nonsmokers. Choose the correct graph below. Relative Frequency 0.8 0.6 0.4 0.2 O B. Relative Frequency 0.8- 0.6- 0.4- 0.2 G (e) State the appropriate conclusion. Choose the correct answer below. OA. In almost all age groups, smokers had a higher death rate than nonsmokers. OB. There is no difference between smokers and nonsmokers. OC. In all age groups, smokers had a lower death rate than nonsmokers. D. In almost all age groups, smokers had a lower death rate than nonsmokers. OC. Relative Frequency 0.8 0.6 0.4 0.2 -го 28-34 65-
Smoking Status Smoker (S) Nonsmoker (NS) Dead 144 233 Alive 452 513 Age Group 18-24 25-34 35-44 45-54 55-64 65-74 75 or older S NS S NS S NS S NS S NS S NS S NS Dead 3 2 4 6 14 7 28 12 51 40 29 102 15 64 Alive 54 63 124 157 97 118 103 66 60 66 81 8 28 0 0
Transcribed Image Text:Smoking Status Smoker (S) Nonsmoker (NS) Dead 144 233 Alive 452 513 Age Group 18-24 25-34 35-44 45-54 55-64 65-74 75 or older S NS S NS S NS S NS S NS S NS S NS Dead 3 2 4 6 14 7 28 12 51 40 29 102 15 64 Alive 54 63 124 157 97 118 103 66 60 66 81 8 28 0 0
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