(b) Consider an urn containing balls labelled 0, 1, 2, ..., n − 1 and the experiment - of drawing n of these balls uniformly and without replacement. Let X, denote the label of the ball drawn in the i-th step, 1 ≤ i ≤n. (i) For any 1 ≤ i ≤ n, what is E[X;] and V[X;]? Justify your answer. (ii) Compute Cov[X₁, X₂]. (iii) Suppose now that n is an unknown parameter and you observe the absolute difference between the labels of the first two balls, that is, Z := |X₁ – X₂|. Can you find an unbiased estimator of n based on Z? Justify your answer.

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(b) Consider an urn containing balls labelled 0, 1, 2, n - 1 and the experiment
..9
of drawing n of these balls uniformly and without replacement. Let X, denote
the label of the ball drawn in the i-th step, 1 ≤ i ≤n.
(i) For any 1 ≤ i ≤ n, what is E[X;] and V[X;]? Justify your answer.
(ii) Compute Cov[X₁, X₂].
(iii) Suppose now that n is an unknown parameter and you observe the absolute
difference between the labels of the first two balls, that is, Z := |X₁ – X₂|.
Can you find an unbiased estimator of n based on Z? Justify your answer.
Transcribed Image Text:(b) Consider an urn containing balls labelled 0, 1, 2, n - 1 and the experiment ..9 of drawing n of these balls uniformly and without replacement. Let X, denote the label of the ball drawn in the i-th step, 1 ≤ i ≤n. (i) For any 1 ≤ i ≤ n, what is E[X;] and V[X;]? Justify your answer. (ii) Compute Cov[X₁, X₂]. (iii) Suppose now that n is an unknown parameter and you observe the absolute difference between the labels of the first two balls, that is, Z := |X₁ – X₂|. Can you find an unbiased estimator of n based on Z? Justify your answer.
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