In: Statistics and Probability
For the following situation, find the mean and standard deviation of the population. List all samples (with replacement) of the given size from that population. Find the mean and standard deviation of the sampling distribution and compare them with the mean and standard deviation of the population. The number of DVDs rented by each of three families in the past month is 2, 14, and 3. Use a sample size of 2
Given Data: 2, 14 and 3
Mean of Population, M = (2 + 14 + 3) / 3 = 19 / 3 = 6.333
Number of DVD(j) | (j - m)^2 |
2 | 18.77489 |
14 | 58.78289 |
3 | 11.10889 |
Variance = (18.77489 + 58.78289 + 11.10889) / 3 = 29.555
Population Standard deviation, = = 5.436
With replacement, Number of samples possible = 32 = 9
Samples(x) | Mean of Sample(m) |
2,2 | 2 |
14,14 | 14 |
3,3 | 3 |
2,14 | 8 |
14,2 | 8 |
14,3 | 8.5 |
3,14 | 8.5 |
2,3 | 2.5 |
3,2 | 2.5 |
Samples are:
Mean of sampling Distribution = 6.333
This is same as Population Mean
Samples(x) | Mean of Sample(m) | (m - 6.333)^2 |
2,2 | 2 | 18.7749 |
14,14 | 14 | 58.7829 |
3,3 | 3 | 11.1089 |
2,14 | 8 | 2.7789 |
14,2 | 8 | 2.7789 |
14,3 | 8.5 | 4.6959 |
3,14 | 8.5 | 4.6959 |
2,3 | 2.5 | 14.6919 |
3,2 | 2.5 | 14.6919 |
Mean | 6.333 |
Variance of sampling distribution = 1/9 * ( sum of all (m - 6.333)^2)
Variance = 14.7778
Sample Distribution Standard Deviation, s = 3.844
Now sample size, n = 2
Sample Distribution Standard Deviation, s = / = 5.436 / = 3.844 which is same as sample distribution standard deviation
So, s =/