posterior random variable
interior random variable
discrete random variable
continuous random variable
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Q. The class of variable which can accept any value within the upper and lower limit is classified as
Explore Relevant Multiple Choice Questions (MCQs)
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
Q. In a negative binomial distribution of probability, the random variable is also classified as
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
Q. The formula of mean of uniform or rectangular distribution is as
Q. The normal distribution is also classified as
Q. The probability which explains x is equal to or less than particular value is classified as
Q. If the sample size is 6 and the population is 50 from which it is drawn without replacement and the elements for success are 22 then the variance of hyper geometric probability distribution is
Q. The types of probability distributions by taking their functions of considerations must include
Q. Consider the probability distribution as standard normal, if the value of μ is 75, the value of x is 120 with the unknown standard deviation of distribution then the value of z-statistic
Q. If the value of p is 0.60 and value of n is 3 whereas the random variable x is equal to 4 then the value of z-score of distribution is
Q. For a rectangular or uniform distribution, the value of interval a is 7 and the value of interval b is 8 then the value of mean for the distribution is
Q. The condition for negative exponential distribution considering mean (μ) is that
Q. If the mean of binomial probability distribution is 25 then the mean of Poisson probability distribution is
Q. If the value of x is less than μ of standard normal probability distribution then the
Q. The 2600 applications for home mortgage are received by a bank and the probability of approval is 0.78 then the standard deviation of binomial probability distribution is
Q. The type of continuous distribution in which the probability is constant is classified as
Q. If the value of interval a is 4 and the value of interval b is 5 then the variance of uniform distribution is
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