In binomial distribution "p" is

identify the probability distribution if random variable is weight of an individual in a population

limit of Poisson distribution

identify the probability distribution if parameters are n and p

Probability of black picture card out of 52 usual playing cards

In a binomial distribution n=8 and p =0.4 then its mean is

In binomial distribution "n" is

identify the probability distribution if parameter is μ

when two coins are rolled n(S)=

Probability of picture card out of 52 usual playing cards

Probability of red ace card out of 52 usual playing cards

identify the probability distribution if random variable is life of a computer

when n is large and p is small we use

variance of binomial distribution

limit of exponential distribution

Parameters of hyper-geometric distribution are

In binomial distribution n=10, p=0.4 then its variance is

limit of binomial distribution

identify the probability distribution if parameters are μ and σ

identify the probability distribution if random variable is number of customer entering in a shop during a specific time period

In binomial distribution n=5 and p=0.5 then P(X=0)=

mean of exponential distribution is

Hyper-geometric distribution is

Probability for odd number when a fair dice is rolled

identify the probability distribution if random variable is number of error per page in a book

In binomial distribution "q" is

Parameters of binomial distribution are

Hyper-geometric distribution has ---- parameters

identify the probability distribution if random variable is size of a file in a PC

In a binomial distribution, n=10 and p=0.5 then mean is

Harmonic mean between two numbers "a" and "b" is

Parameter of exponential distribution

In a Poisson distribution it is impossible to find

limit of normal distribution

probability of an event cannot be

mean of normal distribution

variance of Poisson distribution