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