(a) Let Y be a random variable distributed as X. Determine E(VY) in terms of r.
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![(a) Let Y be a random variable distributed as X. Determine E(Y) in terms of r.
(b) Let {X1, X2, . .. , Xn} be a random sample drawn from a normal distirbution with mean u and
1
variance o?. Denote S
E-(X; – X)² as the sample standard deviation. Use the
1
n -
result in part (a), or otherwise, to find E(S).
(c) Find an unbiased estimator for the population standard deviation o.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F18f8660f-48dc-4e5a-972e-f0de82ccda7c%2Fe2cca1a2-be10-4213-9802-694a27440216%2Fcu3dsca_processed.png&w=3840&q=75)
Transcribed Image Text:(a) Let Y be a random variable distributed as X. Determine E(Y) in terms of r.
(b) Let {X1, X2, . .. , Xn} be a random sample drawn from a normal distirbution with mean u and
1
variance o?. Denote S
E-(X; – X)² as the sample standard deviation. Use the
1
n -
result in part (a), or otherwise, to find E(S).
(c) Find an unbiased estimator for the population standard deviation o.
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