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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

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