Final FORMULA - FINAL FORMULA SHEET n x x i 1 i n p i 100 n...

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FINAL FORMULA SHEET n x x n i i 1 n i p 100 Interquartile Range: IQR = Q 3 – Q 1 Variance: 1 ) ( 2 1 2 n x x n i i s or 1 1 2 2 2 n x n x s n i i Standard deviation: Coefficient of variation: % . . . . mean dev std v c Z transformation: s x x z i i Covariance: 1 ) )( ( 1 n y y x x xy n i i i s Correlation Coefficient: y x s s s r Chebyshev’s Theorem: at least (1-1/z 2 ) of the data values must be within z standard deviations of the mean, where z is greater than 1. # of outcomes = (n 1 )(n 2 )(n 3 )…(n k ) )! ( ! ! n N n N n N C N n N!=N(N-1)(N-2)….(2)(1) = N(N-1)!, 0!=1 )! ( ! n N N P N n P(A c ) = 1 - P(A) B) P(A - P(B) P(A) P(A P(B) B) P(A B) | P(A B)P(B) | P(A P(A Bayes’ Theorem:                   n n i i i A B P A P A B P A P A B P A P A B P A P |B A P | ... | | | 2 2 1 1
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Discrete Probability Distribution allx x xf
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This note was uploaded on 01/29/2012 for the course ECON 340 taught by Professor Pal during the Spring '11 term at University of Cincinnati.

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Final FORMULA - FINAL FORMULA SHEET n x x i 1 i n p i 100 n...

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