Bivariate or joint probability distributions
Bivariate or joint probability distributions
Bivariate or joint probability distributions
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12<br />
In particular, suppose X 1<br />
, X 2<br />
..... X n<br />
f<strong>or</strong>m a random sample from a N<strong>or</strong>mal<br />
population with mean µ and variance σ 2 ,<br />
2 2 2 2<br />
µ = µ = µ = ..... = µ = µ and σ = σ = ..... = σ = σ .<br />
1 2 3 n<br />
1<br />
∑<br />
Y ~ N( a µ , a<br />
2 σ<br />
2 ).<br />
i<br />
∑<br />
i<br />
2<br />
n<br />
Further, suppose that a = a = a = ..... = a =<br />
1 2 3<br />
n<br />
1<br />
n<br />
then Y = X + X + X<br />
1 2<br />
...<br />
n<br />
n<br />
=<br />
X<br />
and X ~ N( µ , σ 2 ) .<br />
n