If the mean of a binomial distribution is 12 and its standard deviation is 2, then the number of trials is :

If a random variable X follows binomial distribution with mean 5 and variance $\frac{5}{2}$, then $P(X \leq 9)$ is :

If $X$ is a discrete random variable which assumes values $x_1, x_2, x_3, ..., x_n$ with the respective probabilities $p_1, p_2, ....., p_n$, then

Match the LIST-I with LIST-II

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Let the random variable $X$ follow a Poisson distribution. If $P(X=3)=\dfrac{2}{5}P(X=2)$, then $P(X=1)$ is equal to

In binomial distribution with $n = 10$ and $P = \frac{1}{3}$, the probability of the event that unequal number of failures and successes occur is :

A random variable X follows Poisson distribution. The variance of X is 2. The value of $P(X=3)$ is

A telephone exchange receives on an average 5 calls per minute. The probability of receiving 3 or less calls per minute is :