Could it be that smoking actually increases survival rates among women? The accompanying data represent the 20-year survival status and smoking status of1334 women who participated in a 20-year cohort study. Complete parts (a) through (e). 0.95 of 1Data tableSmoking StatusSmoker (S)Nonsmoker (NS)Dead144237Alive443510teAge Group18-2425-3435-4445-5455-6465-7475 orolderS NS| SDead 3 2Alive 53 63 121 152 95 118 103 68S NS29 102 15 660 0NSNSNSNSNS461482813 51 406481728PrintDone (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 datashown in the second accompanying table give the survival status of women and their age at the beginning of the study. Forexample, 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 isD(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 O(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 foreach age group.Age Group55-6418-24 25-3435-4445-5465-7475 or olderSmokerNonsmoker(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.O A.В.OC.0.8-0.6-10.8-0.6-170.6-0.60.40.20.4-0.4-02-0.225-3445405-7445465-7445-465-74(e) State the appropriate conclusion. Choose the correct answer below.O A. In almost all age groups, smokers had a higher death rate than nonsmokers.O B. There is no difference between smokers and nonsmokers.O C. In all age groups, smokers had a lower death rate than nonsmokers.OD. In almost all age groups, smokers had a lower death rate than nonsmokers.Relative Frequency

Question

Could it be that smoking actually increases survival rates among​ women? The accompanying data represent the​ 20-year survival status and smoking status of1334 women who participated in a​ 20-year cohort study. Complete parts​ (a) through​ (e). 0.95 of 1Data tableSmoking StatusSmoker (S)Nonsmoker (NS)Dead144237Alive443510teAge Group18-2425-3435-4445-5455-6465-7475 orolderS NS| SDead 3 2Alive 53 63 121 152 95 118 103 68S NS29 102 15 660 0NSNSNSNSNS461482813 51 406481728PrintDone (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 datashown in the second accompanying table give the survival status of women and their age at the beginning of the study. Forexample, 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 isD(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 O(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 foreach age group.Age Group55-6418-24 25-3435-4445-5465-7475 or olderSmokerNonsmoker(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.O A.В.OC.0.8-0.6-10.8-0.6-170.6-0.60.40.20.4-0.4-02-0.225-3445405-7445465-7445-465-74(e) State the appropriate conclusion. Choose the correct answer below.O A. In almost all age groups, smokers had a higher death rate than nonsmokers.O B. There is no difference between smokers and nonsmokers.O C. In all age groups, smokers had a lower death rate than nonsmokers.OD. In almost all age groups, smokers had a lower death rate than nonsmokers.Relative Frequency

Accepted Answer

The accompanying data represent the​ 20-year survival status and smoking status of
1334 women who…

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).

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).