From the data given below state which group is more variable, A or B?
| Marks | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 | 60-70 | 70-80 |
| Group A | 9 | 17 | 32 | 33 | 40 | 10 | 9 |
| Group B 1 | 10 | 20 | 30 | 25 | 43 | 15 | 7 |
| Marks | Group A \(f_i\) | \(mid-point\,x_i\) | \(y_i=\frac{x_i-45}{10}\) | \(f_i^2\) | \(f_iy_i\) | \(f_iy_1^2\) |
| 10-20 | 9 | 15 | 3 | 9 | -27 | 81 |
| 20-30 | 17 | 25 | 2 | 4 | -34 | 68 |
| 30-40 | 32 | 35 | 1 | 1 | -32 | 32 |
| 40-50 | 33 | 45 | 0 | 0 | 0 | 0 |
| 50-60 | 40 | 55 | 1 | 1 | 40 | 40 |
| 60-70 | 10 | 65 | 2 | 4 | 20 | 40 |
| 70-80 | 9 | 75 | 3 | 9 | 27 | 81 |
| 150 | 6 | 342 |
Here, h = 10, N = 150, A = 45
Mean, \(=A\frac{\sum_{i=1}^7f_ix_i}{n}×h=45+\frac{-6×10}{150}=45-0.4-44.6\)
Variance (σ2) = \(\frac{h^2}{N^2}(N\sum_{i=1}^7f_iy_i^2-(\sum_{i=1}^7f_iy_i)^2)\)
\(=\frac{100}{22500}(150×342-(6)^2)\)
\(\frac{1}{225}(51264)\)
\(=227.84\)
\(∴\,Standard\,deviation\.(σ) =√2227.84=15.09\)
The standard deviation of group B is calculated as follows.
| Marks | Group B \(f_i\) | \(mid-point\,x_i\) | \(y_i=\frac{x_i-45}{10}\) | \(f_i^2\) | \(f_iy_i\) | \(f_iy_1^2\) |
| 10-20 | 10 | 15 | -3 | 9 | -30 | 90 |
| 20-30 | 20 | 25 | -2 | 4 | -40 | 80 |
| 30-40 | 30 | 35 | -1 | 1 | -30 | 30 |
| 40-50 | 25 | 45 | 0 | 0 | 0 | 0 |
| 50-60 | 43 | 55 | 1 | 1 | 43 | 43 |
| 60-70 | 15 | 65 | 2 | 4 | 30 | 60 |
| 70-80 | 7 | 75 | 3 | 9 | 21 | 63 |
| 150 | 6 | 366 |
Mean=\(=A\frac{\sum_{i=1}^7f_ix_i}{n}×h=45+\frac{-6×10}{150}=45-0.4-44.6\)
Variance (σ2)= \(\frac{h^2}{N^2}[N\sum_{i=1}^7f_iy_i^2-(\sum_{i=1}^7f_iy_i)^2]\)
\(=\frac{100}{22500}(150×366-(6)^2)\)
\(=\frac{1}{225}[54864]=243.84\)
\(∴\,Standard\,deviation\.(σ_2) =√243.84=15.61\)
Since the mean of both the groups is same, the group with greater standard deviation will be more variable.
Thus, group B has more variability in the marks.
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: