A. Population
B. Biased
C. Unbiased
D. Increase
Related Mcqs:
- A list of sample _________ is called sample space?
A. Events
B. Subset
C. Piont
D. Distinct - The process of selecting sample from the population is called_________________?
A. Sampling process
B. Sampling unit
C. Sampling
D. Size - Sample proportion P is __________ estimator?
A. Biased
B. Parameter
C. Unbiased
D. None of these - __________ are said to be exhaustive if they constitute the entire sample space?
A. Equally
B. Events
C. Outcomes
D. Objects - Sampling Error decrease by _______ the sample size?
A. Increase
B. Decrease
C. Sampling
D. Population - ___________ is a value of sample statistics?
A. Estimate
B. Estimator
C. Probability
D. Numerical - 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 - 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 - 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 - 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
