\(\DeclarePairedDelimiterX{\Set}[2]{\{}{\}}{#1 \nonscript\;\delimsize\vert\nonscript\; #2}\) \( \DeclarePairedDelimiter{\set}{\{}{\}}\) \( \DeclarePairedDelimiter{\parens}{\left(}{\right)}\) \(\DeclarePairedDelimiterX{\innerproduct}[1]{\langle}{\rangle}{#1}\) \(\newcommand{\ip}[1]{\innerproduct{#1}}\) \(\newcommand{\bmat}[1]{\left[\hspace{2.0pt}\begin{matrix}#1\end{matrix}\hspace{2.0pt}\right]}\) \(\newcommand{\barray}[1]{\left[\hspace{2.0pt}\begin{matrix}#1\end{matrix}\hspace{2.0pt}\right]}\) \(\newcommand{\mat}[1]{\begin{matrix}#1\end{matrix}}\) \(\newcommand{\pmat}[1]{\begin{pmatrix}#1\end{pmatrix}}\) \(\newcommand{\mathword}[1]{\mathop{\textup{#1}}}\)
Needs:
Outcome Variables
Natural Numbers
Set Numbers
Needed by:
None.
Links:
Sheet PDF
Graph PDF
Wikipedia

Categorical Outcome Variables

Definition

Suppose we have a finite set of outcomes $\Omega $. A categorical outcome variable (or categorical random variable, categorical variable, qualitative variable) is an outcome variable $x: \Omega \to V$ where $V$ is a finite set.

We call $x$ a binary outcome variable (or binary random variable, dichotomous random variable) if $\num{V} = 2$.

Examples

For example, suppose $V = \set{0,1}$. Such an outcome variable is called a Bernoulli random variable.

Copyright © 2023 The Bourbaki Authors — All rights reserved — Version 13a6779cc About Show the old page view