Hypothesis Testing||Z-test ||t-test||t-test||chi-squaretest||ANOVA (basic concept)||UGC net||m.com

#Parametric test
#Non parametric test
#Type 1 error
#Type 2 error
#One tailed test
#Two tailed test
#f test #z test #t test #chi square test #Anova #statistics
The parametric Welch t-test and the non-parametric Wilcoxon–Mann–Whitney, empirical and exponential empirical likelihood tests are commonly used for hypothesis testing of two population means. In order to circumvent the inflated type I error problem of the non-parametric likelihood testing procedures, a simple calibration using the t distribution and bootstrapping is proposed.
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