Transcription of Categorical and discrete data. Non-parametric tests
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Categorical and discrete data. Non-parametric tests
Categorical and discrete data. Non-parametric tests Dr. Hemal Pandya Learning Objectives Develop the need for inferential techniques that require fewer, or less stringent, assumptions than the methods of earlier chapters Introduce nonparametric tests that are based on ranks ( , on an ordering of the sample measurements according to their relative magnitudes) Non-parametric tests : estimate sample differences when the known distribution shapes cannot help, or even confuse Parametric Vs Non-parametric tests Parametric tests : The population mean ( ), standard deviation (s) and proportion (p) are called the parameters of a distribution.
Wilcoxon signed rank test One group t-test Two unrelated groups Chi square Wilcoxon rank sum test, Mann-Whitney test 6WXGHQW¶VW WHVW Two related groups 0F1HPDU¶V test Wilcoxon signed rank test 3DLUHG6WXGHQW¶V t-test K-unrelated groups Chi square test Kruskal -Wallis one way analysis of variance ANOVA K-related groups Friedman matched …
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