learning objectives learn advantages and disadvantages of nonparametric st atistics nonparametric tests testing randomness of a single sample run test testing difference two independent samples mann whitney wilcoxon rank sum ...
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...Learning objectives learn advantages and disadvantages of nonparametric st atistics tests testing randomness a single sample run test difference two independent samples mann whitney wilcoxon rank sum z t dependent signed paired kruskal wallis one way anova with blocking friedman rcbd correlation spearman s coefficient introduction assumption for or regression coefficients normality equal variance independence not all data satisfy these assumpti ons copyright by jen pei liu phd parametric v nonparametri c statistics mainly are based on assumptions about the population ex x has normal requires interval ratio level depend fewer parameters distribution free most analysis valid ordinal disadvantag es techniques there is no alternative nominal analyzed less complicated computations small sampl e size exact method approximation powerful if available widely well know large calculations can be tedious example pimax cm h o ho vs ha n power to verify...