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Critical Thinking. In Exercises 17鈥28, use the data and confidence level to construct a confidence interval estimate of p, then address the given question. Smoking Stopped In a program designed to help patients stop smoking, 198 patients were given sustained care, and 82.8% of them were no longer smoking after one month. Among 199 patients given standard care, 62.8% were no longer smoking after one month (based on data from 鈥淪ustained Care Intervention and Post discharge Smoking Cessation Among Hospitalized Adults,鈥 by Rigottiet al., Journal of the American Medical Association, Vol. 312, No. 7). Construct the two 95% confidence interval estimates of the percentages of success. Compare the results. What do you conclude?

Short Answer

Expert verified

For sustained care, the 95% confidence interval is between 77.6% and 88.1% while for standard care, the 95% confidence interval is between 56.1% and 69.5%.

The two confidence intervals do not overlap with each other.

From the confidence interval, it can be stated that sustained care is more effective than standard care.

Step by step solution

01

Given information

The given claim is about the program that helped the patients stop smoking. There were 198n1 patients who were given sustained care from them 82.8% p^1 people were no longer smoking. And also, there were 199n2 patients who were given standard care out of which 62.8% p^2were no longer smoking.

02

Requirements for computing confidence interval

The basic requirement of this confidence interval of proportion is that the sample is a simple random sample.

This requirement is assumed to be satisfied.

Assuming fixed trials and a constant rate of success.

It is required to check,np5andnq5 for each case.

n1p^1=1980.828=163.945

n1q^1=1981-0.828=1980.272=53.865

Also,

n2p^2=1990.628=124.975n2q^2=1991-0.628=1990.372=74.0285

Thus, the requirements for the test are satisfied.

03

State the formula for confidence interval 

The confidence interval for proportion is calculated as below,

p^-E<p^<p^+E;

The margin of error can be computed by the formula given below,

E=z2p^q^n

For 95% confidence interval, the critical value is obtained from standard normal table as 1.96z0.052 .

04

Compute the confidence interval for sustained care 

The margin of error for sustained care,

E=z2p^1q^1n1=z0.0250.8280.172198=1.960.8280.172198=0.0525

Substitute all the values in the formula given below:

Confidenceinterval=p^1-E<p^<p^1+E=0.828-0.0525<p^<0.828+0.0525=0.776<p^<0.881

The 95% confidence interval for proportion is between 77.6% and 88.1%.

05

Compute the confidence interval for standard care 

Margin of error for standard care,

E=z2p^2q^2n2=z0.0250.6280.372199=1.960.8280.372199=0.067

Substitute all the values in the formula.

Confidenceinterval=p^2-E<p^<p^2+E=0.628-0.067<p^<0.628+0.067=0.561<p^<0.695

The 95% confidence interval for proportion is between 56.1% and 69.5%.

06

Analyze the intervals 

The intervals do not overlap as the values range differently. As the confidence interval for sustained care has larger positive range, it can be concluded that the success rate for sustained care is greater than standard care.

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