| Item Number | Weight in (kgs) | Value in Rupees) |
| 1 | 10 | 60 |
| 2 | 7 | 28 |
| 3 | 4 | 20 |
| 4 | 2 | 24 |
| Item No. | Weight | Value | Value/Weight |
| 1 | 10 | 60 | 6 |
| 2 | 7 | 28 | 4 |
| 3 | 4 | 20 | 5 |
| 4 | 2 | 24 | 12 |
| Item No. | Weight | Value | Value/Weight |
| 1 | 2 | 24 | 12 |
| 2 | 10 | 60 | 6 |
| 3 | 4 | 20 | 5 |
| 4 | 7 | 28 | 4 |
The following table gives the conditional probabilities for Delhi’s temperature given Guwahati’s temperature.
| HD | MD | LD | |
| HG | 0.40 | 0.48 | 0.12 |
| MG | 0.10 | 0.65 | 0.25 |
| LG | 0.01 | 0.50 | 0.49 |
| HD | MD | LD | |
| HG | 0.40 | 0.48 | 0.12 |
| MG | 0.10 | 0.65 | 0.25 |
| LG | 0.01 | 0.50 | 0.49 |
From diagram, P(HG ∩ HD) = 0.2x0.4
P(HD) = 0.2x0.4+0.5x0.1+0.3x0.01 = 0.133
Required probability,
P(HG | HD) = (0.2x0.4)/0.133 = 0.60