Question

There is a nonparametric test for most situations where the assumptions underlining parametric tests cannot be met.

Group of answer choices

True

False

Answer 1

There is a nonparametric test for most situations where the assumptions underlining parametric tests cannot be met.

Answer:-True

[ Note:In a statistical testing problem when we have not any idea about the underlying parent distribution then we use Nonparametric test. This table shows that there is a nonparametric test for most situation where underlying parent distribution is not known.

Test	Parametric Test	Non-Parametric Test
Equality of two population mean or location (For independent sample)	2-sample t-test	Mann Whitney U-test
Equality of two population mean or location(For dependent sample)	2-sample paired t-test	Wilcoxon Rank sum Test
Significance of Population Correlation Coefficient	Pearson Correlation test	Spearman correlation test
Equality of more than two means	1 way ANOVA	Kruskal Wallis Test
Comparison of groups values on two variables	2 Way ANOVA	Friedman Test
Population mean test	1-sample t or 1-sample z	1-sample sign test , 1-sanple wilcoxon test
Test for independence	No equivalent test	Chi-square test

So from the table we can conclude that most of the cases when underlying parent distribution is not known then there is present a alternative Non-parametric test to take decision about the population parameter.

So from the above discussion we can say that there is a nonparametric test for most situations where the assumptions underlining parametric tests cannot be met. ]