Nonparametric statistics

Last revised by Candace Makeda Moore on 10 Sep 2020

Citation, DOI, disclosures and article data

Citation:

Moore C, Nonparametric statistics. Reference article, Radiopaedia.org (Accessed on 08 May 2024) https://doi.org/10.53347/rID-82013

DOI:

https://doi.org/10.53347/rID-82013

Permalink:

https://radiopaedia.org/articles/82013

rID:

82013

Article created:

10 Sep 2020, Candace Makeda Moore

Disclosures:

At the time the article was created Candace Makeda Moore had no recorded disclosures.

View Candace Makeda Moore's current disclosures

Last revised:

10 Sep 2020, Candace Makeda Moore

Disclosures:

At the time the article was last revised Candace Makeda Moore had no recorded disclosures.

View Candace Makeda Moore's current disclosures

Revisions:

1 time, by 1 contributor - see full revision history and disclosures

Nonparametric statistics is the area of statistics that deals with data which either does not have a probability distribution or that does not have the distribution's parameters specified. Nonparametric tests are often practically very useful when a data set's distribution is unknown e.g. when testing the correlation between two variables for a regression, it is often inappropriate to assume the variables studied are normally distributed, and therefore a Pearson's correlation is inappropriate and the Spearman rank correlation would be the non-parametric test that could be applied to such data.