Casio FX-9750GIIWE-L-IH User Guide - Page 193
Statistic Formula
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9. Statistic Formula I Test Test 1-Sample Z Test 2-Sample Z Test 1-Prop Z Test 2-Prop Z Test 1-Sample t Test = (o - 0 o1 - o2)/ (12/1) + (22/2) z = (x/n - p0)/ p0(1 - p0)/n z = (x1/n1 - x2/n2)/ pˆ (1 - pˆ )(1/n1 + 1/n2) = (o - 0)/(s/' ) 2-Sample t Test (pooled) t = (o1 - o2)/ sp2(1/n1 + 1/n2) sp = ((n1 - 1)sx12 + (n2 - 1)sx22)/(n1 + n2 - 2) df = n1 + n2 − 2 t = (o1 - o2)/ sx12/n1 + sx22/n2 2-Sample t Test (not pooled) df = 1/(C2/(n1 - 1) + (1 - C )2/(n2 - 1)) C = (sx12/n1)/(sx12/n1 + sx22/n2) LinearReg t Test n n b = (xi - o)(yi - p)/(xi - o)2 i=1 i=1 t = r (n - 2)/(1 - r2) a = p - bo C2 GOF Test C2 two-way Test k 2 = (Oi − Ei)2/Ei i Oi: The i-th element of the observed list Ei: The i-th element of the expected list 2 = k i R (Oij − Eij)2/Eij j Oij: The element at row i, column j of the observed matrix k R Eij = xij • xij / i=1 j=1 n Eij: The element at row i, column j of the expected matrix 2-Sample F Test ANOVA Test F = sx12/sx22 F = MS/MSe MS = SS/Fdf MSe = SSe/Edf k SS = ni (oi − o)2 i=1 Fdf = k − 1 k SSe = (ni - 1)sxi2 i=1 k Edf = (ni - 1) i=1 6-53