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Q. In random experiment, the observations of random variable are classified as
Explore Relevant Multiple Choice Questions (MCQs)
Q. In binomial distribution, the formula of calculating standard deviation is
Q. The variance of random variable x of gamma distribution can be calculated as
Q. The formula in which the Poisson probability distribution approaches normal probability distribution with the help of normal variable is written as
Q. The distribution whose function is calculated by considering the Bernoulli trials that are infinite In number is classified as
Q. In the Poisson probability distribution, if the value of λ is integer then the distribution will be
Q. The mean of binomial probability distribution is 857.6 and the probability is 64% then the number of values of binomial distribution
Q. The tail or head, the one or zero and the girl and boy are examples of
Q. If the value of p is smaller or lesser than 0.5 then the binomial distribution is classified as
Q. If the μ is equal to 8 then the standard deviation of exponential probability distribution is
Q. In binomial distribution, the formula of calculating mean is
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
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
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
Q. In binomial probability distribution, the success and failure generated by the trial is respectively denoted by
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
Q. The class of variable which can accept any value within the upper and lower limit is classified as
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
Q. The formula of calculating mean for hyper geometric probability distribution is
Q. The formula in which the binomial distribution approaches normal probability distribution with the help of normal variable is written as
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
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