You can learn about Probability and Probability Distribution MCQs with answrs , in which you can read about multiple choice questions on discrete probability distribution for online exams ,job tests .

**Probability Distribution MCQs**

Mean of continuous uniform (Rectangular) distribution is.

A.(ß+a)/2

B.(ß-a)/2

C.(ß-a)/4

D.?(ß-a)?^2/12

**View Answer**

**A.(ß+a)/2**

Mean deviation of continuous uniform (Rectangular) distribution is.

A. (ß+a)/2

B. (ß-a)/2

C. (ß-a)/4

D. ?(ß-a)?^2/12

**View Answer**

**C. (ß-a)/4**

If 0 A. 1

B. 1/?

C. ?

D. None of these

**View Answer**

**B. 1/?**

?(1-?t)?^(-1)ism. g. f of.

A. Uniform distribution

B. Gamma distribution

C. Beta distribution

D. Negative Exponential distribution

**View Answer**

**D. Negative Exponential distribution**

Mean deviation of Negative Exponential distribution is.

A. ?(1-?t)?^(-1)

B. 1-e^(?-x/?_? )

C. 2?e^(-1)

D. ?^2

**View Answer**

**C. 2?e^(-1)**

Mean of Negative Exponential distribution is.

A. ?(1-?t)?^(-1)

B. 1-e^(?-x/?_? )

C. 2?e^(-1)

D. ?

**View Answer**

**D. ?**

Mode of Negative Exponential distribution is.

A. ?(1-?t)?^(-1)

B. Does not exist

C. 2?e^(-1)

D. ?

**View Answer**

**B. Does not exist**

**Read Also>> **Statistical Inference MCQs

Range of the distribution is 0 to 8 of.

A. Gamma distribution

B. Beta distribution of kind II

C. Negative Exponential distribution

D. All of these

**View Answer**

**D. All of these**

If a = 1 then Gamma distribution becomes.

A. Uniform distribution

B. Beta distribution of kind II

C. Negative Exponential distribution

D. Laplace distribution

**View Answer**

**C. Negative Exponential distribution**

If ß = 1, mean and variances become same of.

A. Uniform distribution

B. Beta distribution of kind II

C. Negative Exponential distribution

D. Gamma distribution

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**D. Gamma distribution**

?aß?^2is variance of.

A. Uniform distribution

B. Beta distribution of kind II

C. Gamma distribution

D. Negative Exponential distribution

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**C. Gamma distribution**

Mean of Gamma distribution is.

A. (a-1)ß

B. aß

C. (a-1)ß2

D. aß2

**View Answer**

**B. aß**

(a-1)ß is mode of.

A. Uniform distribution

B. Beta distribution of kind II

C. Gamma distribution

D. Negative Exponential distribution

**View Answer**

**C. Gamma distribution**

A distribution having five parameters is called.

A. Gamma distribution

B. Bivariate normal distribution

C. Beta distribution of kind II

D. Negative Exponential distribution

**View Answer**

**B. Bivariate normal distribution**

a and ß are two parameters of.

A. Gamma distribution

B. Laplace distribution

C. Bivariate normal distribution

D. Negative Exponential distribution

**View Answer**

**a and ß are two parameters of.**

?(1-ßt)?^(-a)is m.g.f of.

A. Uniform distribution

B. Beta distribution of kind II

C. Gamma distribution

D. Negative Exponential distribution

**View Answer**

**C. Gamma distribution**

Mode is (l-1)/(l+m-2) of.

A. Gamma distribution

B. Beta distribution of kind I

C. Beta distribution of kind II

D. None of these

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**B. Beta distribution of kind I**

0=x=1is range of.

A. Gamma distribution

B. Laplace distribution

C. Beta distribution of kind II

D. Beta distribution of kind I

**View Answer**

**D. Beta distribution of kind I**

f(x) = 1/(ß(l,m)) ?x^(l-1) (1-x)?^(m-1), 0=x=1 is pdf of.

A. Gamma distribution

B. Laplace distribution

C. Beta distribution of kind I

D. All of these

**View Answer**

**C. Beta distribution of kind I**

Mean is l/(m-1) of.

A. Laplace distribution

B. Beta distribution of kind II

C. Beta distribution of kind I

D. Gamma distribution

**View Answer**

**B. Beta distribution of kind II**

Mode is (l-1)/(m+1) of.

A. Beta distribution of kind I

B. Laplace distribution

C. Beta distribution of kind II

D. Gamma distribution

**View Answer**

**C. Beta distribution of kind II**

Variance is (l(l+m-1))/((m-1)^2 (m-2)) of.

A. Beta distribution of kind II

B. Laplace distribution

C. Beta distribution of kind I

D. Gamma distribution

**View Answer**

**A. Beta distribution of kind II**

If f(x) = 1/2 e^(-|x| ), -8=x=8 then its variance is.

A. 4

B. 2

C. 0

D. None of these

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**B. 2**

If f(x) = 1/2 e^(-|x| ), -8=x=8 then its mean deviation is.

A. 4

B. 2

C. 1

D. 0

**View Answer**

**C. 1**

Range of Cauchy distribution is.

A. -8 to 8

B. 0 to ?

C. 0 to 8

D. -1 to +1

**View Answer**

**A. -8 to 8**

Mode is v(1/2?) of.

A. Beta distribution of kind I

B. Laplace distribution

C. Beta distribution of kind II

D. Rayleigh distribution

**View Answer**

**D. Rayleigh distribution**

Mean of ?2 distribution is.

A. 2n

B. n-2

C. n

D. 8n

**View Answer**

**C. n**

Mode of ?2 distribution is.

A. 2n

B. n-2

C. n

D. 8n

**View Answer**

**B. n-2**

If a = n/2 and ß = 2 then Gamma distribution becomes.

A. ?2 distribution

B. F- distribution

C. t- distribution

D. Beta distribution

**View Answer**

**A. ?2 distribution**

If zi’s are independent standard normal variates then ?_(i=1)^n¦z_i^2 ~.

A. t- distribution

B. F- distribution

C. ?2- distribution

D. Beta distribution

**View Answer**

**C. ?2- distribution**

?^2?normality if.

A. n?8

B. n?0

C. n?10

D. n?1

**View Answer**

**A. n?8**

Which distribution becomes standard Cauchy distribution if n = 1.

A. Betadistribution

B. F- distribution

C. ?2- distribution

D. t- distribution

**View Answer**

**D. t- distribution**

Mean is zero of.

A. Beta distribution

B. F- distribution

C. t- distribution

D. ?2- distribution

**View Answer**

**C. t- distribution**

Variance is n/(n-2) of.

A. Beta distribution

B. t- distribution

C. F- distribution

D. ?2- distribution

**View Answer**

**B. t- distribution**

All odd order moments about origin/Mean are zero of.

A. Beta distribution

B. F- distribution

C. t- distribution

D. ?2- distribution

**View Answer**

**C. t- distribution**

If n ?8 then t ?.

A. Normal

B. Gamma

C. Beta

D. Laplace

**View Answer**

**A. Normal**

If x ~ F(n_1,n_2) then ……..~ F(n_2,n_1 ).

A. x2

B. 1/x

C. ?2

D. None of these

**View Answer**

**B. 1/x**

n1andn2 are degrees of freedom of.

A. Beta distribution

B. t- distribution

C. F- distribution

D. ?2- distribution

**View Answer**

**C. F- distribution**

F- distribution has.

A. Two parameters

B. Three parameters

C. Four parameters

D. None of these

**View Answer**

**A. Two parameters**

0 to 8 is range of.

A. F- distribution

B. ?2- distribution

C. Gammadistribution

D. All of these

**View Answer**

**D. All of these**

Variance of F-distribution exists for.

A. n2> 2

B. n2> 4

C. n2> 1

D. None of these

**View Answer**

**B. n2> 4**

Mean of F-distribution exists for.

A. n2> 2

B. n2> 4

C. n2> 1

D. None of these

**View Answer**

**A. n2> 2**

ß(l,m) =?_0^1¦?x^(l-1) (1-x)?^(m-1) dx is called.

A. Gamma function

B. Beta function of II kind

C. Beta function of I kind

D. None of these

**View Answer**

**C. Beta function of I kind**

Which distribution is positively skewed.

A. Normal distribution

B. ?2- distribution

C. t- distribution

D. None of these

**View Answer**

**B. ?2- distribution**

If y1 = y2 = y3 then first order statistics is.

A. y3

B. y2

C. y1

D. None of these

**View Answer**

**C. y1**

If f(x) = e-x, 0 A. e-x

B. 1- e-x

C. e-x -1

D. None of these

**View Answer**

**D. None of these**

If y1 = y2 = y3 then median is.

A. y3

B. y2

C. y1

D. None of these

**View Answer**

**A. y3**

Which is order statistics.

A. A. M

B. Median

C. G. M

D. H. M

**View Answer**

**B. Median**

To check the strength of a chain, we study.

A. Largest order statistics

B. Middle order statistics

C. Smallest order statistics

D. Mode

**View Answer**

**C. Smallest order statistics**

To restrict the flood, we study.

A. Largest order statistics

B. Middle order statistics

C. Smallest order statistics

D. Mode

**View Answer**

**A. Largest order statistics**

**Read More >> Probability Distributions MCQs**