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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Q. The formula of calculating the expected value of random variable x of gamma distribution is as

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Q. If the z-score of normal distribution is 2.5, the mean of the distribution is 45 and the standard deviation of normal distribution is 3 then the value of x for a normal distribution is

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Q. If the μ is equal to 25 then the value of mean for exponential probability distribution is

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Q. The discrete probability distribution in which the outcome is very small with a very small period of time is classified as

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Q. Considering the normal distribution, the spread is increased and the height of the curve is decreased for the

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Q. If the number of trials are 8 and the probability of success are 0.65 then the mean of negative probability distribution is

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Q. The class of variable which can accept only the values from set of integers is classified as

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Q. If the total number of elements with some specific characteristics is 18 from a population of 40 and the sample is drawn without replacement with the size of 4 then the mean of hyper geometric probability distribution is

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Q. If the rate of occurrences in Poisson probability distribution is smaller and the occurrences have large numbers then the distribution tends to be

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