Q. The type of distribution which is useful when the occurrences of events are constant is classified as

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Q. The probability of failure in binomial distribution is denoted by

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Q. The variance of binomial probability distribution is larger in value if

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Q. If the random samples are drawn without replacement and the population from which samples are drawn is infinite then the method which is not applicable is

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Q. The value which is used to measure the distance between mean and random variable x in terms of standard deviation is called

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Q. The type of probability distribution whose standard deviation is one and the mean is equal to zero is classified as

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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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