Sleuth_04

# Sleuth_04 - Alternatives to the t-Tools Stat 511 Chapter 4...

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Unformatted text preview: Alternatives to the t-Tools Stat 511 Chapter 4 Case Study 1: O-Ring Failures Observational study Highly unbalanced Far from normal Apparently unequal standard deviations – and larger sample is associated with smaller standard deviation Case Study 2: Cognitive Load Randomized experiment Students not randomly selected Highly skewed distributions “Censored” data Case Study 1: Assumptions What assumptions are violated? normality equal standard deviation Will the log transformation help? Case Study 2: Assumptions What assumptions are violated? normality data are censored Will the log transformation help? e Rank-Sum Test e rank-sum test has several names Wilcoxon test Mann-Whitney Developed in the 1940’s by Frank Wilcoxon (a emist, not a statistician) A nonparametric or distribution free tool No speci f c distributional assumptions required Tests the null hypothesis of identical population distributions e Rank-Sum Test Implied assumption: populations have the same shape and spread Performs nearly as well as the two-sample t-test when the data are normal and considerably better when there are extreme outliers Resistant (because it is based on ranks) Can deal with some kinds of censored data Disadvantages Con f dence intervals di ﬃ cult to compute by hand (and many statistics pa ages don’t do them either) it’s a trial-and-error calculation (see pp. 93-94) Does not extend easily to more complex situations. e Rank-Sum Test: Calculate T 1. List all observations from both samples in increasing order (Display 4.5 page 91)....
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## This note was uploaded on 10/03/2011 for the course STAT 511 taught by Professor Eggett,d during the Winter '08 term at BYU.

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Sleuth_04 - Alternatives to the t-Tools Stat 511 Chapter 4...

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