When the variable that is being tested has an unknown distribution.
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.
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)
To set up a nonparametric test using the six-step hypothesis testing procedure, start by stating the null hypothesis (H0) and the alternative hypothesis (H1). Next, select the appropriate nonparametric test based on the data type and research question, such as the Mann-Whitney U test or the Kruskal-Wallis test. Then, determine the significance level (alpha), typically set at 0.05. Collect the data, perform the test to calculate the test statistic, and finally, compare the p-value to the significance level to make a decision about the null hypothesis.
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'