In: Statistics and Probability
Families USA, a monthly magazine that discusses issues related to health and health costs, surveyed 20 of its subscribers. It found that the annual health insurance premiums for a family with coverage through an employer averaged $10,385. The standard deviation of the sample was $1,087. |
(a) |
Based on this sample information, develop a 95% confidence interval for the population mean yearly premium. (Round up your answers to the next whole number.) |
Confidence interval for the population mean yearly premium is between $ and $ . |
(b) |
How large a sample is needed to find the population mean within $235 at 99% confidence? (Round up your answer to the next whole number.) |
Sample size |
Solution :
Given that,
a) = 10385
s = 1087
n = 20
Degrees of freedom = df = n - 1 = 20 - 1 = 19
At 95% confidence level the t is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
t /2,df = t0.025,19 =2.09
Margin of error = E = t/2,df * (s /n)
= 2.09 * (1087 / 20)
= 508.73
Margin of error = 508.73
The 99% confidence interval estimate of the population mean is,
- E < < + E
10385 - 508.73 < < 10385 + 508.73
9876.27 < < 10893.73
(9876.27, 10893.73 )
b)
Solution :
Given that,
standard deviation = = 1087
margin of error = E = 235
At 99% confidence level the z is ,
= 1 - 99% = 1 - 0.99 = 0.01
/ 2 = 0.01 / 2 = 0.005
Z/2 = Z0.005 = 2.576
Sample size = n = ((Z/2 * ) / E)2
= ((2.576 * 1087) / 235)2
=142
Sample size = 142