We would like to estimate the true mean weight of 20,000 ostriches. Earlier data indicates that the ostrich weights follow Normal distribution a standard deviation of 7 kg. From a specialized farm, a group of 196 ostriches were selected randomly to measure the precise weights, X1,…,X200;. You have found that, μ̂1=65.03 kg. Assuming the confidence level 95% around the true mean (expected value) of the ostriche' weights, select the correct closest confidence interval from the following:
1. |
[56.06, 74.00] |
|
2. |
[64.05, 66.01] |
|
3. |
[62.02, 68.04] |
|
4. |
[60.09, 69.97] |
|
5. |
[59.05, 71.01] |
As per the provided information,
Sample mean, is 65.03 kg
Sample size, n is 196
Population standard deviation, is 7 kg
Confidence level (c) is 0.95
The significance level,
At the significance level 0.05, the two tailed critical value obtained from z-table is 1.96.
The 95% confidence interval for the true mean (expected value) of the ostriche' weights,
Thus, the 95% confidence interval for the true mean (expected value) of the ostriche' weights is (64.08 kg, 66.01 kg).
Therefore, the closest confidence interval is [64.05, 66.01].
Hence the option 2 is correct.
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