Question

In: Statistics and Probability

Suppose that you are interested in determining whether the advice given by a physician during a...

Suppose that you are interested in determining whether the advice given by a physician during a routine physical examination is effective in encouraging patients to stop smoking. In a study of current smokers, one group of patients was given a brief talk about the hazards of smoking and was encouraged to quit. A second group received no advice pertaining to smoking. All patients were given a follow-up exam. In the sample of 114 patients who had received the advice, 11 reported that they had quit smoking; in the sample of 96 patients who had not, 7 had quit smoking.

(a) Estimate the true difference in population proportions p1 - p2.

(b) Construct a 95% confidence interval for this difference.

(c) At the 0.05 level of significance, test the null hypothesis that the proportions of patients who quit smoking are identical for those who received advice and those who did not.

(d) Do you believe that the advice given by physicians is effective? Why or why not?

Solutions

Expert Solution

Solution-A:

Estimate the true difference in population proportions p1 - p2

=11/114-7/96

= 0.09649123-0.07291667

=0.02357456

Solution-B:

pbar=x1+x2/n1+n2

=(11+7)/(114+96)

= 0.08571429

z crit for 95%=1.96

95% confidence interval for difference in proportions is

(p1^-p2^)+_zcrit*sqrt(p1^*(1-p1^)/n1+p2^*(1-p2^)/n2)

(0.09649123-0.07291667)+--1.96*sqrt((0.09649123*(1-0.09649123)/114)+(0.07291667*(1-0.07291667)/96))

0.02357456+- 0.07511961

-0.05154505, 0.09869417

-0.05154505<p1-p2< 0.09869417

95% lower limit for p1-p2=-0.05154505

95% upper limit for p1-p2=0.09869417

Solution-c:

Ho:p1=p2

Ha:p1 not =p2

alpha=0.05

z=p1^-p2^/sqrt(pbar*(1-pbar)*(1/n1+1/n2))

pbar=x1+x2/n1+n2

=(11+7)/(114+96)

= 0.08571429

z=(0.09649123-0.07291667)/sqrt(0.09649123*(1-0.09649123)/114+0.07291667*(1-0.07291667)/96))

z= 0.6079312

z crit for 95%=+-1.96

z statistic>z critical

Fail to reject Ho

Conclusion:

there is sufficient statistical evidence at 5% level of signifcance to conclude that

proportions of patients who quit smoking are identical for those who received advice and those who did not.

Solution-d:

advice given by physicians is not effective

as there is sufficient statistical evidence at 5% level of significance to conclude that

proportions of patients who quit smoking are identical for those who received advice and those who did not.


Related Solutions

1. Suppose that you are interested in determining whether the advice given by a physician during...
1. Suppose that you are interested in determining whether the advice given by a physician during a routine physical examination is effective in encouraging patients to stop smoking. In a study of current smokers, one group of patients was given a brief talk about the hazards of smoking and was encouraged to quit. A second group received no talk related to smoking. All patients were given a follow-up exam. In the sample of 150 patients who had received the talk,...
Suppose that you are interested in determining whether "consumption depends on income" or whether "income depends...
Suppose that you are interested in determining whether "consumption depends on income" or whether "income depends on consumption."   Which of the following would be most relevant? Group of answer choices t-test F-test Chi-square test double-blind test Granger test
Suppose a group is interested in determining whether teenagers obtain their drivers licenses at approximately the...
Suppose a group is interested in determining whether teenagers obtain their drivers licenses at approximately the same average age across the country. Suppose that the following data are randomly collected from five teenagers in each region of the country. The numbers represent the age at which teenagers obtained their drivers licenses. Use a level of significance of 0.10. Northeast      South           West            Central 16.3              16.9              16.4              16.2    16.1              16.5              16.5              16.6    16.4              16.4              23.0              16.5    16.5              16.2              20.2              16.4    What...
Suppose that a health researcher is interested in determining whether the distance between the patient’s residence...
Suppose that a health researcher is interested in determining whether the distance between the patient’s residence and source of care, and # of disability days significantly predict the number of visits at a local hospital. Visits Distance Disability days 7 1 8 7 1 9 2 10 1 4 4 3 5 2 5 3 9 2 2 10 1 9 2 10 6 3 7 2 11 2 4 2 3 7 2 8 3 14 2 2 16...
Suppose a group is interested in determining whether teenagers obtain their drivers licenses at approximately the...
Suppose a group is interested in determining whether teenagers obtain their drivers licenses at approximately the same average age across the country. Suppose that the following data are randomly collected from five teenagers in each region of the country. The numbers represent the age at which teenagers obtained their drivers licenses. Use a level of significance of 0.10. Northeast      South           West            Central 16.3              16.9              16.4              16.2     16.1              16.5              16.5              16.6     16.4              16.4              23.0              16.5     16.5              16.2              20.2              16.4    What...
1) Driving cars and generating energy produces many pollutants. Suppose you are interested in determining whether...
1) Driving cars and generating energy produces many pollutants. Suppose you are interested in determining whether exposure to one pollutant, sulfur dioxide (SO2), has an effect on human health (health). You also suspect that older people are more affected and people with higher incomes can invest in health insurance to reduce their risk and exposure. Note, the variables in your data are health outcomes (health), exposure to SO2, income, and age. a) Write down a multiple variable regression model that...
"You are interested in determining whether there is a relationship between the grade level of students...
"You are interested in determining whether there is a relationship between the grade level of students at Big Rock School District and their primary color preference for a new school football uniform. A sample of students (grades 8, 9, 12) is asked which color (black, blue, gold) they would prefer for a new school football uniform. Assuming the .05 level of significance, what would you conclude?" 8th grade mean 13.0, 9th grade mean: 12.6, 12th grade mean: 8.0. There is...
5.    Thank you!! A researcher is interested in determining whether the illumination level in a...
5.    Thank you!! A researcher is interested in determining whether the illumination level in a room affects how quickly clients can be put into a trance. The time (in seconds) it took for five clients to go into a trance when it was done in a room that was lit with low light was measured, as was the time it took for the same clients to go into a trance in a brightly lit room. The theory being tested...
the leaders of the study are interested in the determining whether there is a difference in...
the leaders of the study are interested in the determining whether there is a difference in mean annual contributions for individuals covered by TSA's and those with 401(k) retirements program. you can use the results form the following table to test if the population mean of individual covered by TSAs is higher than those covered by 401(k). TSA    401(K) n1 = 8    n2=10 x1= 322.5 x2=298.3 s1=48.3 s2= 53.3 1. Formulate the appropriate null and alternative hypotheses 2....
.You are interested in determining whether there is a statistically significant difference between economics and political...
.You are interested in determining whether there is a statistically significant difference between economics and political science majors in terms of their overall grade point average (GPA). You randomly sample 10 economics majors and 16 political science majors. You find that the average economist has a 3.0 GPA with a standard deviation of 0.4, and the average political scientist has a 3.4 GPA with a standard deviation of 0.3. Conduct a two-tailed hypothesis test using significance level α = 0.05....
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT