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 .35.
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)?
Answer)
A)
Given p = 0.35
Margin of error = 0.02
We know that margin of error (MOE)= Z*(√P*(1-P)/√N)
We know p and we need to find the N
To find N, first we need to estimate the value of z
First we need to divide 95% by 100 and then subtract it from 1
1-(95/100) = 0.05
Now we need to divide it by 2
=0.025
From z table, 1.96 corresponds to 0.025
Therefore, z = 1.96
0.02 = 1.96*√0.35*(1-0.35)/√n
√n = (1.96/0.02)*√0.35*(1-0.35)
N = (1.96/0.02)^2*{0.35*(1-0.35}
N = 2185
b)
Point estimate = 520/2185
= 0.23798627002
= 0.2380
C)
Margin of error = z*√p*(1-p)/√n
1.96*√0.2380*(1-0.2380)/√2185)
= 0.01785649904
Confidence interval is given by
P-MOE, P+MOE
0.238-0.01786, 0.238+0.1786
= 0.22014350095 to 0.25585649904
= (0.2201 to 0.2559)
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