1.10 When testing the hypothesis of = ož the following assumptions are %3D needed: independent samples from normal populations 1.11 Let Y1, Y2, ., Yn be a random sample with E[Y;] = µ and V[Y¡] = o2. Then 1 s' = n- 2 j=1 %3D is an unbiased estimator for o2 1.12 An unbiased estimator for o? can be calculated by dividing the error sum of squares SSE by (n-2)

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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True or false

1.10
When testing the hypothesis o = o the following assumptions are
%3D
needed: independent samples from normal populations
1.11
Let Y1, Y2, ., Yn be a random sample with E[Y;]
= µ and V[Y;] = o². Then
1
S? =
N – 2
i=1
is an unbiased estimator for o?
1.12
An unbiased estimator for o2 can be calculated by dividing the error sum
of squares SSE by (n-2)
Transcribed Image Text:1.10 When testing the hypothesis o = o the following assumptions are %3D needed: independent samples from normal populations 1.11 Let Y1, Y2, ., Yn be a random sample with E[Y;] = µ and V[Y;] = o². Then 1 S? = N – 2 i=1 is an unbiased estimator for o? 1.12 An unbiased estimator for o2 can be calculated by dividing the error sum of squares SSE by (n-2)
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