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Testing Statistical Assumptions

Testing Statistical Assumptions 2012 Edition Copyright @c 2012 by G. David Garson and Statistical Associates Publishing Page 1 Single User License. Do not copy or Statistical Assumptions 2012 Edition Copyright @c 2012 by G. David Garson and Statistical Associates Publishing Page 2 @c 2012 by G. David Garson and Statistical Associates Publishing. All rights reserved worldwide in all media. The author and publisher of this eBook and accompanying materials make no representation or warranties with respect to the accuracy, applicability, fitness, or completeness of the contents of this eBook or accompanying materials.

Sep 26, 2013 · better fit to the data, as opposed to the purpose being to justify one model and then assess the relative importance of the independent variables. CELL SIZE ADEQUACY . Adequate cell size . Adequate cell count is an assumption of any procedure which uses Pearson chi-square or model likelihood chi-square (deviance chi-square) in significance testing

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