In a binomial distribution, n = 4, p(X = 0) = \(\frac{16}{81}\), then p(X = 4) is ___________

In a Poisson distribution mean is 25, then S.D is ___________

A die is tossed 5 times. Getting an odd number is considered a success. Then the variance of distribution of number of success is ___________

The variance of a binomial distribution is ___________

The probability that a person will hit a target in shooting practice is 0.3. If he shoots 10 times, the probability that he hits the target is ___________

If the mean of the binomial distribution is 25, then its standard deviation lies in the interval ___________

For a normal distribution if the mean is m, mode is n and median is m, then ___________

In case of normal distribution, skewness is ___________

The probability that a normal variate X lies in the interval (μ-σ, μ+σ) is ___________

In a binomial distribution if the mean is 8 and the variance is 6, then the number of trials is ___________

If Z is a standard normal variate, then p(0

In a poison distribution, mean is 16, then standard deviation is ___________

In 8 throws of a die, 1 or 3 is considered a success. Then the mean number of successes is ___________

The standard normal distribution is represented by ___________

The area under the standard normal curve between Z=-∞ and z=∞ is