variance of binomial distribution
when n is large and p is small we use
identify the probability distribution if parameter is μ
Probability of black picture card out of 52 usual playing cards
limit of normal distribution
identify the probability distribution if random variable is life of a computer
Parameter of exponential distribution
Harmonic mean between two numbers "a" and "b" is
limit of binomial distribution
In binomial distribution n=5 and p=0.5 then P(X=0)=
In a Poisson distribution it is impossible to find
Hyper-geometric distribution has ---- parameters
when two coins are rolled n(S)=
Probability of red ace card out of 52 usual playing cards
identify the probability distribution if random variable is size of a file in a PC
In binomial distribution "p" is
probability of an event cannot be
In a binomial distribution n=8 and p =0.4 then its mean is
mean of exponential distribution is
identify the probability distribution if random variable is number of customer entering in a shop during a specific time period
Parameters of hyper-geometric distribution are
limit of exponential distribution
Hyper-geometric distribution is
In binomial distribution n=10, p=0.4 then its variance is
Probability for odd number when a fair dice is rolled
identify the probability distribution if random variable is weight of an individual in a population
identify the probability distribution if parameters are μ and σ
identify the probability distribution if random variable is number of error per page in a book
In binomial distribution "q" is
variance of Poisson distribution
In a binomial distribution, n=10 and p=0.5 then mean is
identify the probability distribution if parameters are n and p
In binomial distribution "n" is
Probability of picture card out of 52 usual playing cards
mean of normal distribution
limit of Poisson distribution
Parameters of binomial distribution are