A. varies of data P2/6
B. S.D. of data h2/12
C. M.D. of data h2/6
D. Variance of data h2/12
Advertisement
Related Mcqs:
- suppose for 40 observation, the variance is 50. If all the observation are increased by 20, the variance of these increased observation will be_________?
- A. 50 B. 70 C. 50/20 D. 50-20=30...
- The variance of 5 numbers is 10. If each number is divided by 2, then variance of new number is_____________?
- A. 20 B. 5 C. 2.5 D. 0...
- The variance of 5 numbers is 10. If each number is divided by 2, then the variance of new numbers is______________?
- A. 20 B. 5 C. 2.5 D. 5.5 E. 0...
- Suppose for 40 observations, the variance is 50. If all the observations are increased by 20, the variance of these increased observation will be______________?
- A. 50 B. 70 C. 50/20 D. 50-20 = 30 E. 50...
- 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...
- What is the variance of binomial distribution __________________?
- A. n p B. np (1 – p) C. np/q D. nq/p...
- 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...
- Variance remains unchanged by change of_____________?
- A. Origin B. Scale C. Both D. None of these...
- Mean deviation, Variance and Standard Deviation of the values 4,4,4,4,4,4 is_______________?
- A. 4 B. 8 C. 2 D. 0...
Advertisement