__________ 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