A. Events
B. Subset
C. Piont
D. Distinct
Related Mcqs:
- An events that contains the finite number point the sample space is called __________________?
A. Finite
B. Random
C. Continuous
D. values - A subset of the sample space is called _________________?
A. Sample point
B. Set
C. Event
D. Space - when a three die rolled the sample space consists of _____________?
A. 6 outcomes
B. 24 outcomes
C. 216 outcomes
D. Non of these - __________ are said to be exhaustive if they constitute the entire sample space?
A. Equally
B. Events
C. Outcomes
D. Objects - A fair coin toss the total events in sample space equal_____________?
A. 7
B. 16
C. 36
D. 6 - Discrete random variable is real valued function defined on a ___________ sample space?
A. Discrete
B. Variable
C. Scale
D. Non of these - If an event consists of only one sample point is called _____________?
A. Appeared
B. Exactly
C. Space
D. Elementary event - 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 - 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 - 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
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