$A$ recent survey found that the ages of workers in a factory is distributed as follows:
Age (in years) $20-29$ $30-39$ $40-49$ $50-59$ $60$ and above Number of workers $38$ $27$ $86$ $46$ $3$
If a person is selected at random,find the probability that the person is under $60$ but over $39$ years.
| Age (in years) | $20-29$ | $30-39$ | $40-49$ | $50-59$ | $60$ and above |
| Number of workers | $38$ | $27$ | $86$ | $46$ | $3$ |
If a person is selected at random,find the probability that the person is under $60$ but over $39$ years.
- A$0.16$
- B$0.66$
- C$0.76$
- D$0.96$
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An insurance company selected $1600$ drivers at random in a particular city to find a relationship between age and accidents. The data is as below:
Age group of drivers Number of accidents in one year $(0, 1, 2, 3, >3)$ $18-25$ $320, 125, 75, 45, 30$ $25-40$ $400, 45, 50, 15, 10$ $40-55$ $150, 85, 13, 8, 10$ Above $55$ $150, 25, 17, 20, 7$
Find the probability of the following event for a driver selected at random from the city: being $25-40$ years of age and having exactly $2$ accidents in a year.
| Age group of drivers | Number of accidents in one year $(0, 1, 2, 3, >3)$ |
| $18-25$ | $320, 125, 75, 45, 30$ |
| $25-40$ | $400, 45, 50, 15, 10$ |
| $40-55$ | $150, 85, 13, 8, 10$ |
| Above $55$ | $150, 25, 17, 20, 7$ |
Find the probability of the following event for a driver selected at random from the city: being $25-40$ years of age and having exactly $2$ accidents in a year.
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View Solution$A$ company selected $4000$ households at random and surveyed them to find out a relationship between income level and the number of television sets in a home. The information so obtained is listed in the following table:
Monthly income (in Rs) $0$ Televisions $1$ Television $2$ Televisions Above $2$ Televisions $< 10000$ $20$ $80$ $10$ $0$ $10000-14999$ $10$ $240$ $60$ $0$ $15000-19999$ $0$ $380$ $120$ $30$ $20000-24999$ $0$ $520$ $370$ $80$ $25000$ and above $0$ $1100$ $760$ $220$
Find the probability of a household earning $Rs. 25000$ and more per month and owning $2$ televisions.
| Monthly income (in Rs) | $0$ Televisions | $1$ Television | $2$ Televisions | Above $2$ Televisions |
| $< 10000$ | $20$ | $80$ | $10$ | $0$ |
| $10000-14999$ | $10$ | $240$ | $60$ | $0$ |
| $15000-19999$ | $0$ | $380$ | $120$ | $30$ |
| $20000-24999$ | $0$ | $520$ | $370$ | $80$ |
| $25000$ and above | $0$ | $1100$ | $760$ | $220$ |
Find the probability of a household earning $Rs. 25000$ and more per month and owning $2$ televisions.
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View SolutionThe minimum value of the probability of any event is ...........
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View SolutionThe probability that a non-leap year should have $53$ Sundays is ............ (in $/7$)
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