In a city,it is found that $10$ accidents took place in a span of $50$ days. Assuming that the number of accidents follows the Poisson distribution,the probability that there will be $3$ or more accidents in a day in that city is

  • A
    $1-(1.02) e^{0.2}$
  • B
    $1-(1.22) e^{-0.2}$
  • C
    $1-(1.2) e^{0.2}$
  • D
    $1-\frac{1.22}{e^{-0.2}}$

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$A$ bakerman sells $5$ types of cakes. Profit due to sale of each type of cake is respectively $Rs \ 2$,$Rs \ 2.5$,$Rs \ 3$,$Rs \ 1.5$ and $Rs \ 1$. The demands for these cakes are $20 \%$,$5 \%$,$10 \%$,$50 \%$ and $15 \%$ respectively. Then the expected profit per cake is:

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Then,$P(0 < X < 4)$ is equal to:

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$A$ random variable $X$ has the following probability distribution:
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