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Exact Sampling Distributions (Chi-square Distribution) 13-1. Chi-Square Variate (Pronounced as Ki - Sky without S). The square of a staridard normal variate is known as a chi-square variate with 1 degree of freedom (d.£) Thus if X ~ W (1, 0%, then Z =~ ~ No, 1) ad Za (4) , is achi-square variate with 1 d.f. In general, if X;, = 1, 2; ..., 4) are independent normal variates with mean pi; and variance G7, (i= 1,2,...,), then gs “shy. isa chi-square variate witha d.f. —...(13-1) iwi 13-2, Derivation of the Chi-square Distribution. First Method—Methed of Moment Generating Function. 1fX;, @= 1,2, ..., m) are independent N(u;, 67), we want the distribution of =a z uh) = = 5, U2, where Uys ist Since X;’s are independent, U;’s are also independent. MO=Msy,O= T tl ty: = My, OF, since U;'’s ~ N (O, 1) are identically dissibuted Now Myg(d =Bloxp (UN) =]” expt’) dex =| pur) wn” (- Gi Wo?) dy; “-— J £x9 uP) x0 uP) ds [x 222]