A. 10
B. 12
C. 2.1
D. 21
E. None
Related Mcqs:
- In a binomial distribution, n = 20 and p = 3/5, then variance of this distribution ______________?
A. 60
B. 12
C. 4.8
D. 0 - if in a binomial probability distribution mean and variance are 6 and 2.4 respectively, then the parameters of this distribution are:____________________?
A. n = 10, p = 6/10
B. n = 50, p = 6/50
C. n = 10, p = 3/5
D. n = 10, p = 2/5 - If mean of the binomial probability distribution is 4.8, then variance of this distribution is :_______________?
A. -2.3
B. 5.3
C. -4.8
D. 2.3 - Normal distribution is a probability distribution of _____ random variable?
A. Continuous
B. Constant
C. Discrete
D. Normal - If a Binomial experiment is repeated ‘N’ times then binomial frequency distribution is. _______________?
A. N.{nx}px qn-x
B. N p q
C. N.{n/x}px qn-x
D. N.{n/x}p qn-x - A binomial random variable can assume values from _________ to n?
A. 6
B. 3
C. 2
D. 0 - 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 - The mean and variance of binomial distribution are ______________?
A. Unequal
B. Equal
C. Symmetrical
D. None - In a binomial distribution mean and variance is ________________?
A. Variance > mean
B. Mean < variance
C. Variance ≠ mean
D. None of these
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