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

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Q. The formula of mean of uniform or rectangular distribution is as

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Q. The normal distribution is also classified as

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Q. The probability which explains x is equal to or less than particular value is classified as

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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

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Q. The types of probability distributions by taking their functions of considerations must include

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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

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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

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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

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Q. The condition for negative exponential distribution considering mean (μ) is that

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Q. If the mean of binomial probability distribution is 25 then the mean of Poisson probability distribution is

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Q. If the value of x is less than μ of standard normal probability distribution then the

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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

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Q. The type of continuous distribution in which the probability is constant is classified as

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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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Q. The formula such as mn ⁄ (m + n)² (m + n + 1) is used to calculate

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Q. The probability distribution of discrete random variable is classified as

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Q. The standard normal probability distribution has mean equal to 40, whereas the value of random variable x is 80 and the z-statistic is equal to 1.8 then the standard deviation of standard normal probability distribution is

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Q. In standard normal probability distribution, the z-score of distribution will be zero if

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Q. If the value of λ is 9 and value of random variable x is 5 then the value of z-score is

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