A binomial random variable can assume values from _________ to n?

Related Mcqs:

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

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

2. 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

3. 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

4. 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

5. 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

6. If a Binomial experiment is repeated ‘N’ times then binomial frequency distribution is. _______________?

   A. N.{nx}px qn-x
   B. N p q
   C. N.{n/x}px qn-x
   D. N.{n/x}p qn-x

7. Continuous variable can assume __________ value?

   A. All possible
   B. Constant
   C. Accuracy
   D. Specific

8. 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

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

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

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