Important questions about Probability Distributions. Probability Distributions MCQ questions with answers. Probability Distributions exam questions and answers for students and interviews.

In binomial probability distribution, the dependents of standard deviations must includes

Options

A : a. probability of q

B : b. probability of p

C : c. trials

D : d. all of above

The formula to calculate standardized normal random variable is

Options

A : a. x - ? ? ?

B : b. x + ? ? ?

C : c. x - ? ? ?

D : d. x + ? ? ?

In random experiment, the observations of random variable are classified as

Options

A : a. events

B : b. composition

C : c. trials

D : d. functions

In binomial distribution, the formula of calculating standard deviation is

Options

A : a. square root of p

B : b. square root of pq

C : c. square root of npq

D : d. square root of np

The variance of random variable x of gamma distribution can be calculated as

Options

A : a. Var(x) = n + 2 ? ?²;

B : b. Var(x) = n ? ?²;

C : c. Var (x) = n * 2 ? ?²;

D : d. Var(x) = n - 2 ? ?³;

The formula in which the Poisson probability distribution approaches normal probability distribution with the help of normal variable is written as

Options

A : a. x + ? ? square root of ?

B : b. x * ? ? square root of x*?

C : c. x - ? ? square root of ?

D : d. x + ? ? square root of pq?

The distribution whose function is calculated by considering the Bernoulli trials that are infinite In number is classified as

Options

A : a. negative Poisson distribution

B : b. bimodal cumulative distribution

C : c. common probability distribution

D : d. negative binomial probability distribution

In the Poisson probability distribution, if the value of ? is integer then the distribution will be

Options

A : a. bimodal

B : b. unimodal

C : c. positive modal

D : d. negative modal

The mean of binomial probability distribution is 857.6 and the probability is 64% then the number of values of binomial distribution

Options

A : a. 1040

B : b. 1340

C : c. 1240

D : d. 1140

The tail or head, the one or zero and the girl and boy are examples of

Options

A : a. non-functional events

B : b. complementary events

C : c. non complementary events

D : d. functional events

If the value of p is smaller or lesser than 0.5 then the binomial distribution is classified as

Options

A : a. skewed to right

B : b. skewed to left

C : c. skewed to infinity

D : d. skewed to integers

If the ? is equal to 8 then the standard deviation of exponential probability distribution is

Options

A : a. 0.425

B : b. 0.125

C : c. 0.225

D : d. 0.325

In binomial distribution, the formula of calculating mean is

Options

A : a. ? = p + q

B : b. ? = np

C : c. ? = pq

D : d. ? = qn

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

Options

A : a. discrete value

B : b. weighted value

C : c. expected value

D : d. cumulative value

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

Options

A : a. 1925

B : b. 6364

C : c. 63.64

D : d. 3500

If the value of interval a is 2.5 and the value of interval b is 3.5 then the value of mean for uniform distribution is

Options

A : a. 0.5

B : b. 3

C : c. 2.5

D : d. 3.5

In binomial probability distribution, the success and failure generated by the trial is respectively denoted by

Options

A : a. p and q

B : b. a and b

C : c. p + q

D : d. p - q

If the value of success in binomial probability distribution is 0.40 and failure is 0.60 and the number of values in distribution are 5 then the moment coefficient of skewness is

Options

A : a. 0.467

B : b. 0.167

C : c. 0.267

D : d. 0.367

The class of variable which can accept any value within the upper and lower limit is classified as

Options

A : a. posterior random variable

B : b. interior random variable

C : c. discrete random variable

D : d. continuous random variable

If the value of x for normal distribution is 35, the mean of normal distribution is 65 and the standard deviation is 25 then the standardized random variable is