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UFM Statistics
Central limit theorem
Q1
Edexcel S4 2008 June — Question 1
Exam Board
Edexcel
Module
S4 (Statistics 4)
Year
2008
Session
June
Topic
Central limit theorem
Type
Estimator properties and bias
A random sample \(X _ { 1 } , X _ { 2 } , \ldots , X _ { 10 }\) is taken from a population with mean \(\mu\) and variance \(\sigma ^ { 2 }\).
Determine the bias, if any, of each of the following estimators of \(\mu\).
$$\begin{aligned} & \theta _ { 1 } = \frac { X _ { 3 } + X _ { 4 } + X _ { 5 } } { 3 }
& \theta _ { 2 } = \frac { X _ { 10 } - X _ { 1 } } { 3 }
& \theta _ { 3 } = \frac { 3 X _ { 1 } + 2 X _ { 2 } + X _ { 10 } } { 6 } \end{aligned}$$
Find the variance of each of these estimators.
State, giving reasons, which of these three estimators for \(\mu\) is
the best estimator,
the worst estimator.
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