If c is non-random variable, the E(C) is_______________?

Related Mcqs:

1. 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

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. For a random variable X, E(X) is_______________?

   A. Harmonic Mean
   B. Geometric Mean (GM)
   C. Arithmetic Mean (AM)
   D. Non

4. 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

5. Discrete random variable is real valued function defined on a ___________ sample space?

   A. Discrete
   B. Variable
   C. Scale
   D. Non of these

6. 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

7. A random variable is ____________ ?

   A. Not a function
   B. A continuous variable
   C. A function
   D. None of these

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

   A. Probability Function
   B. Distribution Function
   C. Probability Distribution
   D. Probability Density Function

9. A continuous random variable which can assume all possible values on scale in a given _______________?

   A. Interval
   B. Point
   C. Time
   D. Sample space

10. Which of the following statement is true for CDF of the random variable X?

    A. From larger values of x
    B. From smallest upto specific value of x
    C. From zero to specific value of x
    D. None of these

    Submitted by: Nimra Shaheen