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# Probability Distributions Online Exam Quiz

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

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

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

Options

A : a. 0.425

B : b. 0.125

C : c. 0.225

D : d. 0.325

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

Options

A : a. 1925

B : b. 6364

C : c. 63.64

D : d. 3500

Options

A : a. 0.5

B : b. 3

C : c. 2.5

D : d. 3.5

Options

A : a. p and q

B : b. a and b

C : c. p + q

D : d. p - q

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

Options

A : a. ?1.5

B : b. ?1.2

C : c. ?1.7

D : d. ?4