Probability Distributions

Probability Distributions
In binomial probability distribution, the dependents of standard deviations must includes
probability of q
probability of p
trials
all of above
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Probability Distributions
In binomial probability distribution, the success and failure generated by the trial is respectively denoted by
p and q
a and b
p + q
p – q
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Probability Distributions
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
will be one
will be zero
will be negative
will be positive
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Probability Distributions
If the μ is equal to 8 then the standard deviation of exponential probability distribution is
0.425
0.125
0.225
0.325
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Probability Distributions
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
97.5
47.5
37.5
67.5
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Probability Distributions
The condition for negative exponential distribution considering mean (μ) is that
μ must be less than zero
μ must be greater than one
μ must be greater than zero
μ must be smaller than twp
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Probability Distributions
In standard normal probability distribution, the z-score of distribution will be zero if
x < μ
x > μ
x = μ
all of above
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Probability Distributions
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
0.067
0.057
0.047
0.077
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Probability Distributions
If the value of λ is 9 and value of random variable x is 5 then the value of z-score is
−2.58
−1.86
−2.34
−1.34
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Probability Distributions
The normal distribution is also classified as
Gaussian distribution
Poisson distribution
Bernoulli’s distribution
weighted average distribution
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