The formulas as they will appear on test 2

The formulas as they will appear on test 2 - n n = = + + +...

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The formulas as they will appear on test 2. Memorize anything else that you need. 2 2 2 2 2 2 2 1 2 2 0 0 0 0 0 ˆ ˆ (n 1)s (n 1)s p(1 p) s ˆ x z , p z x t n n n ˆ x x p p z t z s p (1 p ) n n n α α α α α - σ - - - χ χ - μ - μ - = = = σ - 2 2 1 2 0 1 2 0 d d 2 2 2 2 2 d 0 1 2 1 2 1 2 1 2 (x x ) D (x x ) D x (n 1)s z t t s s s n n n n n (variances assumed unequal) - - - - - μ - = = = χ = σ σ σ + + 2 1 2 2 s F , where population 1 is the one with the larger variance. s = k T 1 2 3 k T n i1 i2 ik i 1 i 1 n n n n ... n the total number of observations The , also called the is the sum of all the observations divided by n . It is denoted by x. x x ... x x = = = + + + + = + + + = overall sample mean grand mean, 1 2 k n n j j j 1 i 1 1 1 2 2 k k T T T n x n x n x ... n x n
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Unformatted text preview: n n = = + + + = = MSTR "mean square due to treatments" = ( 2 x ns = when all samples same size) k 2 2 2 j j j 1 1 1 k k SSTR sum of squares due to treatments k 1 k-1 n (x x) n (x x) ... n (x x) k 1 k 1 = = =---+ +-= =--2 k 2 j j j 1 T T T MSE "mean square due to error" (= s for sample size n) (n 1)s SSE "sum of squares due to error" n k n k n k = =-= = =---T (n k) 2 i j 1 1 LSD t MSE( ) n n -= +...
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This note was uploaded on 05/07/2008 for the course QMBE 2786 taught by Professor Easly during the Spring '08 term at University of New Orleans.

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