Let {x .,x } is a random sample coming from N(μ, σ^), and suppose σ is known. (a) Show that hat(e) = x n 2 is an unbiased estimator for u. (b) Find the efficiency of hat(e). ง C 5. Let {X1, X2,. ,Xn} is a random sample coming from N(μ, o²), and suppose σ² is known. .... (a) Show that = x² - 2 is an unbiased estimator for μ². (b) Find the efficiency of Ô.

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter4: Writing Linear Equations
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Let {x
.,x } is a random sample coming from N(μ, σ^), and suppose σ is known. (a) Show that hat(e) = x
n
2
is an unbiased estimator for u. (b) Find the efficiency of hat(e).
ง
C
5. Let {X1, X2,. ,Xn} is a random sample coming from N(μ, o²), and suppose σ² is
known.
....
(a) Show that = x²
-
2 is an unbiased estimator for μ².
(b) Find the efficiency of Ô.
Transcribed Image Text:Let {x .,x } is a random sample coming from N(μ, σ^), and suppose σ is known. (a) Show that hat(e) = x n 2 is an unbiased estimator for u. (b) Find the efficiency of hat(e). ง C 5. Let {X1, X2,. ,Xn} is a random sample coming from N(μ, o²), and suppose σ² is known. .... (a) Show that = x² - 2 is an unbiased estimator for μ². (b) Find the efficiency of Ô.
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