In: Math
You may need to use the appropriate appendix table or technology to answer this question.
A simple random sample of 60 items resulted in a sample mean of 90. The population standard deviation is
σ = 15.
(a)
Compute the 95% confidence interval for the population mean. (Round your answers to two decimal places.)
( )to( )
(b)
Assume that the same sample mean was obtained from a sample of 120 items. Provide a 95% confidence interval for the population mean. (Round your answers to two decimal places.)
( )to( )
(c)
What is the effect of a larger sample size on the interval estimate?
A. A larger sample size does not change the margin of error.
B. A larger sample size provides a smaller margin of error.
C. A larger sample size provides a larger margin of error.
Solution:
Given: A simple random sample of 60 items resulted in a sample mean of 90.
The population standard deviation is σ = 15.
= 90
n = 60
Part a) Compute the 95% confidence interval for the population mean.
where
We need to find zc value for c=95% confidence level.
Find Area = ( 1 + c ) / 2 = ( 1 + 0.95) /2 = 1.95 / 2 = 0.9750
Look in z table for Area = 0.9750 or its closest area and find z value.
Area = 0.9750 corresponds to 1.9 and 0.06 , thus z critical value = 1.96
That is : Zc = 1.96
Thus
Thus
Part b) Assume that the same sample mean was obtained from a sample of 120 items. Provide a 95% confidence interval for the population mean.
n = 120
Thus
Part c) What is the effect of a larger sample size on the interval estimate?
B. A larger sample size provides a smaller margin of error.