A list of sample _________ is called sample space?

Related Mcqs:

1. An events that contains the finite number point the sample space is called __________________?

   A. Finite B. Random C. Continuous D. values...

2. A subset of the sample space is called _________________?

   A. Sample point B. Set C. Event D. Space...

3. when a three die rolled the sample space consists of _____________?

   A. 6 outcomes B. 24 outcomes C. 216 outcomes D. Non of these...

4. __________ are said to be exhaustive if they constitute the entire sample space?

   A. Equally B. Events C. Outcomes D. Objects...

5. A fair coin toss the total events in sample space equal_____________?

   A. 7 B. 16 C. 36 D. 6...

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

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

7. If an event consists of only one sample point is called _____________?

   A. Appeared B. Exactly C. Space D. Elementary event...

8. Let X1,X2,…Xn be a random sample from the density f(x;(θ), where θ may be vector. If the conditional distribution of X1,X2,…Xn given S=s does not depend on θ for any value of s of S, then statistic is called?

   A. Minimal sufficient statistic B. Sufficient statistic C. Efficient D. Minimax statistics...

9. 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...

10. 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...