In: Statistics and Probability
Suppose weight is normally distributed. Nine men with a genetic condition that causes obesity entered a weight reduction program. After four months, their mean weight loss was 11.2 pounds lost with standard deviation σ = 9.0 Construct an 80 and 99 percent confidence interval for the mean.
Solution:
Given,
= 9.0 ........Sample standard deviation
= 11.2 ....... Sample mean
n = 9 ....... Sample size
Note that, Population standard deviation() is known. So we use z distribution.
1)
80% confidence interval
c = 0.80
= 1- c = 1- 0.80 = 0.20
/2 = 0.10
Using z table
= 1.282
The margin of error is given by
E = /2 * ( / n )
= 1.282 * (9.0 / 9)
= 3.846
Now , confidence interval for mean() is given by:
( - E ) < < ( + E)
(11.2 - 3.846) < < (11.2 + 3.846)
7.354 < < 15.046
Required 80% Confidence interval is (7.354 , 15.046)
2)
99% confidence interval
c = 0.99
= 1- c = 1- 0.99 = 0.01
/2 = 0.01 2 = 0.005 and 1- /2 = 0.995
Search the probability 0.995 in the Z table and see corresponding z value
= 2.576
The margin of error is given by
E = /2 * ( / n )
= 2.576 * (9.0 / 9)
= 7.728
Now , confidence interval for mean() is given by:
( - E ) < < ( + E)
(11.2 - 7.728) < < (11.2 + 7.728)
3.472 < < 18.928
Required 99% Confidence interval is (3.472 , 18.928)