Given n independent binary variables X,,X,...,X,, that can take the values of 0 or 1, are identically distributed as X, - Ber(0) where i – 1,2,...,n. Consider the estimator Ô = -x, . (i) Describe the distribution of the random variable S – nð . (ii) Identify the mean and variance of this distribution. (iii) By writing ô in terms of S, compute the expectation E(Ö) and the bias of this estimator. State whether this estimator unbiased. (iv) Based on distribution of nð , examine vai(0) and the standaid enoi of this estimator.

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Given n independent binary variables X,,X,...,X,, that can take the values of 0 or
1, are identically distributed as X, ~ Ber(0) where i– 1,2,...,n. Consider the
(a)
estimator θ-ΣΧ.
(i)
Describe the distribution of the random variable S – nô .
(ii)
Identify the mean and variance of this distribution.
(ii)
By writing ô in terms of S, compute the expectation E(Ö) and the bias of
this estimator. State whether this estimator unbiased.
(iv)
Based on distribution of nð , examine vai(Ô) and the standard eloi of this
estimator.
Transcribed Image Text:Given n independent binary variables X,,X,...,X,, that can take the values of 0 or 1, are identically distributed as X, ~ Ber(0) where i– 1,2,...,n. Consider the (a) estimator θ-ΣΧ. (i) Describe the distribution of the random variable S – nô . (ii) Identify the mean and variance of this distribution. (ii) By writing ô in terms of S, compute the expectation E(Ö) and the bias of this estimator. State whether this estimator unbiased. (iv) Based on distribution of nð , examine vai(Ô) and the standard eloi of this estimator.
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