In: Statistics and Probability
In a city of 80,000 households, 800 were randomly sampled in a marketing survey by an auto manufacturer. To see how typical this city was, some statistics were collected: the average number of cars per household was 1.32, while the standard deviation for the number of cars per household was 0.8. Construct a 95% confidence interval for the average number of cars per household in the whole city.
Solution :
Given that,
= 1.32
s = 0.8
n = 800
Degrees of freedom = df = n - 1 = 800 - 1 = 799
At 95% confidence level the t is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
t /2,df = t0.025,799 = 1.963
Margin of error = E = t/2,df * (s /n)
= 1.963 * (0.8/ 800)
=0.05
Margin of error = 0.05
The 99% confidence interval estimate of the population mean is,
- E < < + E
1.32 - 0.05 < < 1.32 + 0.05
1.27 < < 1.37
( 1.27, 1.37 )