Probability Distributions
In binomial probability distribution, the dependents of standard deviations must includes
probability of q
probability of p
trials
all of above
all of above
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If the mean of binomial probability distribution is 25 then the mean of Poisson probability distribution isA. 70
B. 50
C. 25
D. 50
If the value of p is smaller or lesser than 0.5 then the binomial distribution is classified as
A. skewed to right
B. skewed to left
C. skewed to infinity
D. skewed to integers
The distribution whose function is calculated by considering the Bernoulli trials that are infinite In number is classified as
A. negative Poisson distribution
B. bimodal cumulative distribution
C. common probability distribution
D. negative binomial probability distribution
The probability which explains x is equal to or less than particular value is classified as
A. discrete probability
B. cumulative probability
C. marginal probability
D. continuous probability
The mean of binomial probability distribution is 857.6 and the probability is 64% then the number of values of binomial distribution
A. 1040
B. 1340
C. 1240
D. 1140
The formula such as mn ⁄ (m + n)² (m + n + 1) is used to calculate
A. variance in exponential distribution
B. variance in alpha distribution
C. variance in gamma distribution
D. variance in beta distribution
If the μ is equal to 25 then the value of mean for exponential probability distribution is
A. 0.4
B. 0.08
C. 0.07
D. 0.04
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