Q. The symbol λ is used to represent

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

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Q. The probability distribution having shape of bell and in which the values of mean lies in center of probability distribution is classified as

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Q. The formula of calculating the variance for negative binomial distribution is

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Q. In the normal distribution, the normal curve becomes more wider and more flatter because of

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Q. The binomial probability distribution is classified as skewed to left if

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Q. If the μ is equal to 4 then the variance of exponential probability distribution is

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Q. If the parameter μ is 11 and the n of the gamma distribution is 50 then the variance of gamma distribution is

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Q. For the Gamma distribution, if the value of n is equal to 15 and the value of μ is 7 then the expected value for this distribution is

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Q. If the value of m in beta distribution is 5 and the value of n is 25 then the standard deviation of beta distribution is

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Q. The successful life of product, the time, the weight and the height are classified as

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Q. The number of units multiply profit per unit multiply probability to calculate

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Q. The probability of success increases in the binomial probability distribution if the value of

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Q. In beta distribution, the expected value of random variable x is calculated as

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

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Q. In the classification of probability distributions, the 'Erlang distribution' is also called

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Q. The formula of calculating mean for the negative binomial probability distribution is

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