BREAKING DOWN ‘Nonparametric Statistics’. The term ‘non-parametric’ is not meant to imply that such models completely lack parameters, but that the number and nature of the parameters are flexible and not fixed in advance. A histogram is an example of a nonparametric …
Those tests both assume that the population data has a normal distribution. Non parametric do not assume that the data is normally distributed. The only non parametric test you are likely to come across in elementary stats is the chi-square test. However, there are several others.
A statistical test, in which specific assumptions are made about the population parameter is known as the parametric test. A statistical test used in the case of non-metric independent variables is called nonparametric test. In the parametric test, the test statistic is based on distribution.
adjective Statistics. (of a test or method) not requiring assertions about parameters or about the form of the underlying distribution. Origin of nonparametric.
Hypothesis Tests of The Mean and Median
Parametric statistical procedures rely on assumptions about the shape of the distribution. (i.e., assume a normal distribution) in the underlying population and about the form or. parameters (i.e., means and standard deviations) of the assumed distribution. Nonparametric statistical procedures rely on no or few assumptions about the shape or.
Nonparametric Methods. These are statistical techniques for which we do not have to make any assumption of parameters for the population we are studying. Indeed, the methods do not have any dependence on the population of interest. The set of parameters is no longer fixed, and neither is the distribution that we use.
Using An Ordinal Scale
Parametric and Non-Parametric this window to return to the main page. In the literal meaning of the terms, a parametric statistical test is one that makes assumptions about the parameters (defining properties) of the population distribution(s) from which one’s data are drawn, while a non- parametric test is one that makes no such assumptions.