parametric tests 1) assumption of population normality 2) homogeneity of variance parametric more...
Post on 21-Dec-2015
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Parametric Tests
1) Assumption of population normality
2) homogeneity of variance
Parametric more powerful than nonparametric
Nonparametric TestsNonparametric Test (distribution free
testing)1) Pathological conditions are represented by
skewed distributions2) Small clinical samples and samples of
convenience cannot be considered representatives of larger nominal distributions
3) Data measured on nominal - category labels ordinal - rank order of observations
Chi Square X2
Non parametric test for analyzing categorical data e.g. yes-no Frequency of occurrenceDetermines if there is a difference between the proportions observed within a set of categories and the proportions that would be expected by chance.
Assumptions
1) frequencies represent individual counts
2) Categories are exhaustive and mutually exclusive