Probability distribution of a random variable is also know as Probability_________________?

Related Mcqs:

1. Normal distribution is a probability distribution of _____ random variable?

   A. Continuous
   B. Constant
   C. Discrete
   D. Normal

2. Let X1,X2,……,Xn be a random sample from a density,,,, f(x ι θ) where θ is a value of the random variable Θwith known density gΘ(θ) Then the estimator ∏(θ) with…/ respect to the prior gΘ(θ) is define as_________________E[∏(θ)ιX1,X2,…..,Xn] is called?

   A. Posterior Bay’s estimator
   B. Minimax estimator
   C. Bay’s estimator
   D. Sufficient estimator

3. Let X1,X2,……,Xn be a random sample from a density,,,, f(x ι θ) where θ is a value of the random variable Θwith known density gΘ(θ) Then the estimator ∏(θ) with…/ respect to the prior gΘ(θ) is define as______________E[∏(θ)ιX1,X2,…..,Xn] is called?

   A. Posterior Bay’s estimator
   B. Minimax estimator
   C. Bay’s estimator
   D. Sufficient estimator

4. A function probability that a random variable of x has a value less than is called _____________?

   A. Random function
   B. Distribution function
   C. Continuous function
   D. probability function

5. A random variable X has binomial distribution with n = 10 and p = 0.3 then variance of X is:_____________________?

   A. 10
   B. 12
   C. 2.1
   D. 21
   E. None

6. Let Z1,Z2,….Zn be independent and identically distributedrandom variable, satisfying E[ι Zt ι]<∞. Let N be an integer valued random variable whose value n depends only on the values of the first n Z¡'s. Suppose E(N)< ∞, then E(Z1,Z2,….Zn)=E(N)E(Z) is called ?

   A. Independence Equation
   B. Sequential Probability Likelihood Equation
   C. Neyman Pearson Lemma
   D. Wald’s Equation

7. A sampling distribution is the probability distribution for which one of the following___________?

   A. A sample
   B. A sample statistic
   C. A population
   D. A population parameter

8. if in a binomial probability distribution mean and variance are 6 and 2.4 respectively, then the parameters of this distribution are:____________________?

   A. n = 10, p = 6/10
   B. n = 50, p = 6/50
   C. n = 10, p = 3/5
   D. n = 10, p = 2/5

9. If mean of the binomial probability distribution is 4.8, then variance of this distribution is :_______________?

   A. -2.3
   B. 5.3
   C. -4.8
   D. 2.3

10. What is the probability that a ball drawn at random from a jar ?

    A. 0.1
    B. 1
    C. 0.5
    D. 0
    E. Cannot be determined from given information