Non parametric statistical tools in biological research: A Review

Abstract

Nonparametric statistical tools, also known as distribution-free methods, are a set of techniques used to analyze data when certain assumptions about the underlying population distribution are not met or when little is known about the population parameters. Unlike parametric methods, nonparametric methods do not rely on specific assumptions about the shape or parameters of the population distribution.

Nonparametric statistical tools are useful in situations where the data may not follow a specific distribution, have outliers, or exhibit nonlinearity. They are also valuable when dealing with small sample sizes or ordinal or categorical data. Nonparametric methods can provide robust and reliable results in such cases.