1. In binomial probability distribution, the dependents of standard deviations must includes
a. probability of q
b. probability of p
c. trials
d. all of above
2. In random experiment, the observations of random variable are classified as
a. events
b. composition
c. trials
d. functions
3.In binomial distribution, the formula of calculating standard deviation is
a. square root of p
b. square root of pq
c. square root of npq
d. square root of np
4.The variance of random variable x gamma distribution can be calculated as
a. Var(x) = n + 2 ⁄ μ²;
b. Var(x) = n ⁄ μ²;
c. Var (x) = n * 2 ⁄ μ²;
d. Var(x) = n - 2 ⁄ μ³
5.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
6.The tail or head, the one or zero and the girl and boy are examples of
a. non-functional events
b. complementary events
c. non complementary events
d. functional events
7.If the μ is equal to 8 then the standard deviation of exponential probability distribution is
a. 0.425
b. 0.125
c. 0.225
d. 0.325
8.The value which is obtained by multiplying the possible values of random variable with the probability of occurrence and is equal to weighted average is called
a. discrete value
b. weighted value
c. expected value
d. cumulative value
9.The number of products manufactured in a factory in a day are 3500 and the probability that some pieces are defected is 0.55 then the mean of binomial probability distribution is
a. 1925
b. 6364
c. 63.64
d. 3500
10.In binomial probability distribution, the success and failure generated by the trial is respectively denoted by
a. p and q
b. a and b
c. p + q
d. p - q
11.The class of variable which can accept any value within the upper and lower limit is classified as
a. posterior random variable
b. interior random variable
c. discrete random variable
d. continuous random variable