In: Statistics and Probability
You are given the sample mean and the population standard deviation. Use this information to construct the 90% and 95% confidence intervals for the population mean. Interpret the results and compare the widths of the confidence intervals.
From a random sample of 48 business days, the mean closing price of a certain stock was $106.06. Assume the population standard deviation is $11.45.
The 90% confidence interval is ( [ ], [ ] ).
Solution
Given that,
= 106.06
= 11.45
n = 48
a ) At 90% confidence level the z is ,
= 1 - 90% = 1 - 0.90 = 0.10
/ 2 = 0.10 / 2 = 0.05
Z/2 = Z 0.05 = 1.645
Margin of error = E = Z/2* (/n)
= 1.645* (11.45 / 48 )
= 2.72
At 90% confidence interval estimate of the population mean is,
- E < < + E
106.06 - 2.72 < < 106.06 + 2.72
103.34 < < 106.78
(103.34 , 106.78)
b ) At 95% confidence level the z is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
Z/2 = Z0.025 = 1.960
Margin of error = E = Z/2* (/n)
= 1.960* (11.45 / 48 )
= 3.24
At 95% confidence interval estimate of the population mean is,
- E < < + E
106.06 - 3.24< < 106.06 + 3.24
102.82 < < 109.30
(102.82, 109.30)