In: Statistics and Probability
What is a sampling distribution of means? How is it created and what is it used for?
Sampling distribution is a probability distribution of sample mean. For example, suppose {1,2,3,4} is a set of population units. So the size of populatio, N=4. Now we draw sample of size 2 without replacement technique from this population and the following table shows the sampling distribution of sample mean:
Serial no. | Possible samples | Sample mean= | |
1. | (1,2) | 1.5 | 1/6 |
2. | (1,3) | 2 | 1/6 |
3. | (1,4) | 2.5 | 1/6 |
4. | (2,3) | 2.5 | 1/6 |
5. | (2,4) | 3 | 1/6 |
6. | (3,4) | 3.5 | 1/6 |
Hence the sampling distribution of is
1.5 | 2 | 2.5 | 3 | 3.5 | |
1/6 | 1/6 | 2/6 | 1/6 | 1/6 |
Since the mean of all sample means () is population mean so sample mean is considered for making inference on population mean which is unknown.