The first 10 multiples of 3 are
3, 6, 9, 12, 15, 18, 21, 24, 27, 30
Here, number of observations, n = 10
Mean, \(\bar{x}=\frac{\sum_{i=1}^{10}x_i}{10}=\frac{165}{10}=16.5\)
The following table is obtained.
| \(x_i\) | \((x_i-\bar{x})\) | \((x_i-\bar{x})^2\) |
| 3 | -13.5 | 182.25 |
| 6 | -10.5 | 110.25 |
| 9 | -7.5 | 56.25 |
| 12 | -4.5 | 20.25 |
| 15 | -1.5 | 2.25 |
| 18 | 1.5 | 2.25 |
| 21 | 4.5 | 20.25 |
| 24 | 7.5 | 56.25 |
| 27 | 10.5 | 110.25 |
| 30 | 13.5 | 182.25 |
| 742.5 |
Variance(σ2) = \(\frac{1}{n}\sum_{i=1}^{10}(x_i-\bar{x})^2=\frac{1}{10}×742.5=74.25\)
If the mean and the variance of 6, 4, a, 8, b, 12, 10, 13 are 9 and 9.25 respectively, then \(a + b + ab\) is equal to: