In: Statistics and Probability
The Centers for Disease Control reported the percentage of people 18 years of age and older who smoke (CDC website, December 14, 2014). Suppose that a study designed to collect new data on smokers and nonsmokers uses a preliminary estimate of the proportion who smoke of .27.
a. How large a sample should be taken to estimate the proportion of smokers in the population with a margin of error of .02 (to the nearest whole number)? Use 95% confidence.
b. Assume that the study uses your sample size recommendation in part (a) and finds 520 smokers. What is the point estimate of the proportion of smokers in the population (to 4 decimals)?
c. What is the 95% confidence interval for the proportion of smokers in the population (to 4 decimals)? ( ? , ? )
Solution,
Given that,
a) = 0.27
1 - = 1 - 0.27 = 0.73
margin of error = E = 0.02
At 95% confidence level
= 1 - 95%
= 1 - 0.95 =0.05
/2
= 0.025
Z/2
= Z0.025 = 1.96
sample size = n = (Z / 2 / E )2 * * (1 - )
= (1.96 / 0.02)2 * 0.27 * 0.73
= 1892.94
sample size = n = 1893
b) x = 520
Point estimate = sample proportion = = x / n = 520 / 1893 = 0.275
1 - = 1 - 0.275 = 0.725
At 95% confidence level
= 1 - 95%
=1 - 0.95 =0.05
/2
= 0.025
Z/2
= Z0.025 = 1.960
Margin of error = E = Z / 2 * (( * (1 - )) / n)
= 1.96 (((0.275 *0.725) / 1893)
= 0.0201
A 95% confidence interval for population proportion p is ,
± E
= 0.275 ± 0.0201
= ( 0.2549, 0.2951 )