Why is the Chi-square test considered both a parametric as well a non-parametric test?
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Why is the Chi-square test considered both a parametric as well a non-parametric test?
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- Distinguish briefly the Parametric and non-parametric analysiswe're conducting what are commonly referred to as non-parametric tests. But as you'll see, these are testing the same comparison scenarios that we've already been conducting throughout the semester. Now you need to elaborate on what the difference is between these tests and the ones we've already been doing? What is the primary condition that allows us to use these non-parametric tests? And how do these tests compare to their "counterpart" tests?Integrate using tirgonometric susbtitution
- (b) How do you find the area under a parametric curve?The ____ tests are more powerful than the ___ test, which means the ___ is higher for nonparametric tests. A) nonparametric; parametric; type ll error B) parametric ; nonparametric ; type ll error C) nonparametric ; parametric ; type I error D) parametric; nonparametric ; type l errorWhat is a parametrized curve? Give an example?