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...