Non-parametric (or distribution-free) inferential statistical methods are mathematical procedures for statistical hypothesis testing which, unlike parametric statistics, make no assumptions …

Sep 24, 2025 · What Are Nonparametric Statistics? Nonparametric statistics use methods where data doesn't need to fit a specific model, like the normal distribution.

In More Good Reasons to Look at the Data, we looked at data distributions to assess center, shape and spread and described how the validity of many statistical procedures relies on an …

Aug 11, 2024 · Scientists apply non-parametric methods to study pollution levels and climate change effects. These methods work well with non-normal distributions or ordinal scales.

Jul 12, 2025 · Non-parametric methods are statistical techniques that do not rely on specific assumptions about the underlying distribution of the population being studied. These methods …

Nonparametric statistical techniques are used in situations where it is not possible to estimate or test the values of the parameters (e.g., mean, standard deviation) of the distribution or where …

Master non-parametric statistics with our comprehensive guide. Learn when to use nonparametric tests and practical applications.

Chapter 14 Nonparametric Statistics A.K.A. “distribution-free” statistics! Does not depend on the population fitting any particular type of distribution (e.g, normal).

Statistical procedures that allow us to process data from small samples, on variables about which nothing is known concerning their distribution.

Nonparametric inference refers to statistical techniques that use data to infer unknown quantities of interest while making as few assumptions as possible. Typically, this involves working with …