__________ is the process of using sample information to reach?

Related Mcqs:

1. A list of sample _________ is called sample space?

   A. Events B. Subset C. Piont D. Distinct...

2. The process of selecting sample from the population is called_________________?

   A. Sampling process B. Sampling unit C. Sampling D. Size...

3. Sample proportion P is __________ estimator?

   A. Biased B. Parameter C. Unbiased D. None of these...

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

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

5. Sampling Error decrease by _______ the sample size?

   A. Increase B. Decrease C. Sampling D. Population...

6. ___________ is a value of sample statistics?

   A. Estimate B. Estimator C. Probability D. Numerical...

7. 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...

8. Sample variance S2 is unbiased estimator of population variance 26 because ________________?

   A. E(S2) = s2 B. E(u) = X C. E(P) = P D. Ux = u...

9. For t distribution, increasing the sample size, the affect will be on ?

   A. Standard Error of the Means B. The t-ratio C. Degrees of Freedom D. All Above...

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...