Q. The formula in which the Poisson probability distribution approaches normal probability distribution with the help of normal variable is written as

View solution

Q. The distribution whose function is calculated by considering the Bernoulli trials that are infinite In number is classified as

View solution

Q. In the Poisson probability distribution, if the value of λ is integer then the distribution will be

View solution

Q. The mean of binomial probability distribution is 857.6 and the probability is 64% then the number of values of binomial distribution

View solution

Q. The tail or head, the one or zero and the girl and boy are examples of

View solution

Q. If the value of p is smaller or lesser than 0.5 then the binomial distribution is classified as

View solution

Q. If the μ is equal to 8 then the standard deviation of exponential probability distribution is

View solution

Q. In binomial distribution, the formula of calculating mean is

View solution

Q. The value which is obtained by multiplying the possible values of random variable with the probability of occurrence and is equal to weighted average is called

View solution

Q. The number of products manufactured in a factory in a day are 3500 and the probability that some pieces are defected is 0.55 then the mean of binomial probability distribution is

View solution

Q. If the value of interval a is 2.5 and the value of interval b is 3.5 then the value of mean for uniform distribution is

View solution

Q. In binomial probability distribution, the success and failure generated by the trial is respectively denoted by

View solution

Q. If the value of success in binomial probability distribution is 0.40 and failure is 0.60 and the number of values in distribution are 5 then the moment coefficient of skewness is

View solution

Q. The class of variable which can accept any value within the upper and lower limit is classified as

View solution

Q. If the value of x for normal distribution is 35, the mean of normal distribution is 65 and the standard deviation is 25 then the standardized random variable is

View solution

Q. The formula of calculating mean for hyper geometric probability distribution is

View solution

Q. The formula in which the binomial distribution approaches normal probability distribution with the help of normal variable is written as

View solution

Q. If the value of m in beta distribution is 35 and the value of n in beta distribution is 50 then the expected value of random variable x in beta distribution is

View solution

Q. In a negative binomial distribution of probability, the random variable is also classified as

View solution

Q. The demand of products per day for three days are 21, 19, 22 units and their respective probabilities are 0.29, 0.40, 0.35. The profit per unit is $0.50 then the expected profits for three days are

View solution