If on an average $4$ customers visit a shop in an hour,then the probability that more than $2$ customers visit the shop in a specific hour is

  • A
    $\frac{e^4-13}{e^4}$
  • B
    $\frac{8}{e^4}$
  • C
    $\frac{4}{e^4}$
  • D
    $\frac{e^4-21}{e^4}$

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If a random variable $x$ has the probability distribution as follows:
$x$$0$$1$$2$$3$$4$$5$$6$$7$
$P(x)$$0$$2k$$k$$3k$$2k^2$$2k$$k^2+k$$7k^2$

Then $P(3 < x \leq 6)$ is equal to:

For the following probability distribution,find the $Var(X)$.
$X$$-2$$-1$$0$$1$$2$$3$
$P(X)$$0.1$$0.2$$0.2$$0.3$$0.15$$0.05$

(Given : $(0.25)^2 = 0.0625$,$(0.35)^2 = 0.1225$,$(0.45)^2 = 0.2025$)

In a game,a man wins a rupee for a six and loses a rupee for any other number when a fair die is thrown. The man decides to throw a die thrice but to quit as and when he gets a six. Find the expected value of the amount he wins or loses. (in $/216$)

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For the probability distribution of $X$ given below,the variance of $X$ is:
$X = x$$-2$$-1$$0$$1$$2$
$P(X = x)$$0.2$$0.3$$0.1$$0.15$$0.25$

If $X$ is a Poisson variate such that $2 P(X=1)=5 P(X=5)+2 P(X=3)$,then the standard deviation of $X$ is

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