Q: When should a nonparametric test be used?

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Yes, Chis squared test are among the most common nonparametric statistics tests.

A classic would be the Kolmogorov-Smirnov test.

If the distribution is parametric then yes.

Fisher's exact probability test, chi-square test for independence, Kolmogorov-Smirnov test, Spearman's Rank correlation and many, many more.

A nonparametric classifier is a kind of classifier that can work with unknown density function of the classes of a dataset.

Related questions

Yes, Chis squared test are among the most common nonparametric statistics tests.

A paired samples t-test is an example of parametric (not nonparametric) tests.

A classic would be the Kolmogorov-Smirnov test.

If the distribution is parametric then yes.

c2 (Chi Square)

The symbol for hypothesis test is c2 ( Chi Square)

It is found under Analyze ---> Nonparametric Tests ---> 1 Sample K-S

Fisher's exact probability test, chi-square test for independence, Kolmogorov-Smirnov test, Spearman's Rank correlation and many, many more.

A nonparametric classifier is a kind of classifier that can work with unknown density function of the classes of a dataset.

Gregory W. Corder has written: 'Nonparametric statistics for non-statisticians' -- subject(s): Nonparametric statistics

Sidney Siegel has written: 'Nonparametric statistics for the behavorial sciences.' 'Bargaining and group decision making' 'Nonparametric ststistics for the behavioral sciences'

NO