a) Here is a table with the samples and the sample means:
5,5 | 5 |
5,7 | 6 |
5,9 | 7 |
7,5 | 6 |
7,7 | 7 |
7,9 | 8 |
9,5 | 7 |
9,7 | 8 |
9,9 | 9 |
Here is the probability distribution for the 9 sample means:
X | 5 | 6 | 7 | 8 | 9 |
P(X) | 1/9 | 2/9 | 3/9 | 2/9 | 1/9 |
b) the population mean is (5+7+9)/3 = 21/3 = 7
The mean of all the sample means is (5 + 2x6 + 3x7 + 2x8 + 9)/9 = 63/9 = 7
Clearly the population mean is equal to the mean of the sampling distribution of sample means. Because this is true, the sample mean is considered an unbiased estimator of the population mean.
c) I assume that the question is actually asking if the sample mean is an unbiased estimator of the population mean and the answer is yes - because the mean of the sampling distribution of sample means is equal to the mean of the population, the sample mean is an unbiased estimator of the population mean.