Here is an extract from a mortality table.
Age (in years) Number of persons surviving out of a sample of one million
$60$ $16090$
$61$ $11490$
$62$ $8012$
$63$ $5448$
$64$ $3607$
$65$ $2320$

What is the probability that a person aged $61$ will live for $4$ years?

  • A
    $\frac{232}{1100}$
  • B
    $\frac{2320}{1149}$
  • C
    $\frac{232}{11490}$
  • D
    $\frac{232}{1149}$

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Similar Questions

The probability of occurrence of event $A$ is $0.43$. The probability of event $A$ not occurring is .........

$A$ 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 obtained is listed in the following table:
Monthly income (in Rs) $0$ Television $1$ 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 $Rs. 10000 - 14999$ per month and having exactly one television.

$50$ families with $2$ children were selected randomly and the following data were recorded:
Number of girls in a family $0$ $1$ $2$
Number of families $10$ $32$ $8$

If a family is chosen at random,compute the probability that it has: $(1)$ two girls,$(2)$ one girl,$(3)$ no girl.

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.

Over the past $200$ working days,the number of defective parts produced by a machine is given in the following table:
Number of defective parts $0$ $1$ $2$ $3$ $4$ $5$ $6$ $7$ $8$ $9$ $10$ $11$ $12$ $13$
Days $50$ $32$ $22$ $18$ $12$ $12$ $10$ $10$ $10$ $8$ $6$ $6$ $2$ $2$

Determine the probability that tomorrow's output will have no defective part.

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