Write a confidence interval problem using one of the options below.
Think about a population mean that you may be interested in and propose a confidence interval problem for this parameter. Your data values should be approximately normal.
30 random households were given a survey and asked how many times a month each household went grocery shopping (confidence interval for the population mean is 95%). The following answers were given:
1 Time- 1
2 Times- 3
3 Times- 3
4 Times- 19
5 Times- 3
6 Times- 1
The sample mean and sample standard deviation here are computed as:
X |
N |
X*N |
(X- MEAN(X))^2 |
N*(X-MEAN(X))^2 |
1 |
1 |
1 |
7.65 |
7.65 |
2 |
3 |
6 |
3.12 |
9.36 |
3 |
3 |
9 |
0.588 |
1.76 |
4 |
19 |
76 |
0.0544 |
1.03 |
5 |
3 |
15 |
1.52 |
4.56 |
6 |
1 |
6 |
4.99 |
4.99 |
113 |
29.4 |
For n-1 = 29 degrees of freedom, we get from the t distribution tables that:
P( -2.045 < t29 < 2.045 ) = 0.95
Therefore the confidence interval here is computed as:
(3.3908, 4.1426)
This is the required 95% confidence interval for the population mean.
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