In: Statistics and Probability
A physicist examines 28 sedimentary samples for mercury concentration. The mean mercury concentration for the sample data is 0.863 cc/cubic meter with a standard deviation of 0.0036
Determine the 98% confidence interval for the population mean mercury concentration. Assume the population is approximately normal.
Solution :
Given that,
Point estimate = sample mean =
= 0.863
Population standard deviation =
= 0.0036
Sample size = n = 28
At 98% confidence level
= 1 - 98%
= 1 - 0.98 = 0.02
/2
= 0.01
Z/2
= Z0.01 = 2.326
Margin of error = E = Z/2
* (
/n)
= 2.326 * ( 0.0036 / 28
)
= 0.002
At 98% confidence interval estimate of the population mean is,
- E < < + E
0.863 - 0.002 < < 0.863 + 0.002
0.861 <
< 0.865
( 0.861 , 0.865 )
The 98% confidence interval for the population mean : ( 0.861 , 0.865 )