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प्रश्न
The following table shows the relationship between the monthly incomes and the number of vehicles in a family. If 2000 families, in a locality, are selected, the information gathered is listed in the table below:
| Monthly income (₹) | Number of vehicles per family | ||
| 0 | 1 | 2 or more than 1 | |
| Less than 10,000 | 1 | 140 | 13 |
| 10,000 - 12,000 | 2 | 285 | 17 |
| 12,000 - 14,000 | 0 | 515 | 0 |
| 14,000 - 16,000 | 0 | 449 | 9 |
| 16,000 or more | 3 | 559 | 7 |
A family is chosen, write the probability that the family chosen is:
- earning ₹ 10,000 - ₹ 12,000 per month and owning exactly 1 (one) vehicle.
- earning ₹ 14,000 or more per month and owning 2 or more than 2 vehicles.
- not owning more than 1 vehicle.
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उत्तर
Total number of families = 2000.
By formula,
Probability of an event = \[\frac{\text{Number of favourable outcomes}}{\text{Total number of outcomes}}\]
i. Number of families earning ₹ 10,000 - ₹ 12,000 per month and owning exactly 1 vehicle = 285.
∴ Required probability = \[\frac{285}{2000} = \frac{57}{400}\]
Hence, the required probability = \[\frac{57}{400}\]
ii. Number of families earning ₹ 14,000 or more per month and owning 2 or more vehicles = \[9 + 7 = 16\]
∴ Required probability = \[\frac{16}{2000} = \frac{1}{125}\]
Hence, the required probability = \[\frac{1}{125}\]
iii. Families not owning more than 1 vehicle are those owning 0 or 1 vehicle.
Number of such families = (1 + 2 + 0 + 0 + 3) + (140 + 285 + 515 + 449 + 559)
= 6 + 1948 = 1954
∴ Required probability = \[\frac{1954}{2000} = \frac{977}{1000}\]
Hence, the required probability = \[\frac{977}{1000}\]
