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Is it true that parametric tests are generally more powerful than nonparametric tests? If so, give two reasons why you might choose to use a nonparametric test instead of a parametric test.Is it true

Is it true that parametric tests are generally more powerful than nonparametric tests? If so, give two reasons why you might choose to use a nonparametric test instead of a parametric test.

Is it true that parametric tests are generally more powerful than nonparametric tests? If so, give two reasons why you might choose to use a nonparametric test instead of a parametric test.

Is it true that parametric tests are generally more powerful than nonparametric tests? If so, give two reasons why you might choose to use a nonparametric test instead of a parametric test.

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Prof. Emmanuel
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******* *** ***** ************* ******* ** true **** ********** ***** *** ******** **** ************** ***** ********* people *** ******* *********** ********** tests *** more *********** **** parametric ***** **** ************* ***** ******** nonparametric ***** ** *** ******* **** **** **** follow *** normal distribution They are **** known ** distribution-free tests *** can provide ******** in **** situationsReason ** ************* tests assess *** ****** ***** *** ** better *** **** study ********* ************* tests *** ****** ********** **** **** of ***** ****** This ** my ***** reason for ******** the ************* test *** *** *** that ** *** ******* **** ****** *** **** that *** *** ******* * ********** ******** using ********** data **** *** indicate that *** **** ** *** valid ******* ** ******* tendency for your dataFor instance skewed ************ ****** like income can be ****** ******** ** *** ****** where *** *** ***** the ****** *** *** *** below If *** *** * *** ************ ** a ****** *** ************ **** ********* significantly **** ****** *** ****** *** *** ******* ****** does not changeIf your ************ ** skewed ********** *** **** ** greatly ******** by *** ******* *** *** ** *** distribution’s **** ***** *** ****** continues ** ******* the ****** ** *** ************ **** ******* *** ***** *** distributions a ****** ****** of 100 **** **** distribution ********* ***** ***** *** significantly ************ but medians that are *** significantly offbeat Reason 2: ************* ***** *** analyze ******* **** ranked **** *** **************** ********** tests *** **** ****** ********** **** *** *** ******** *** ** ************* ******** ** outliers However **** ************* ***** can handle ******* **** ****** **** ******* ***** affected ****** ** ********

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