2005Encyclopedia of BiostatisticsRequires access

Chi‐Square Distribution

H. O. Lancaster, E. Seneta

Open publisher page 130 citations

Abstract

Abstract A chi‐square random variable is defined as the sum of squares of independently distributed standard normal random variables, which explains the additive property of independent chi‐square random variables. Its probability distribution is described by a gamma probability density. The chi‐square goodness‐of‐fit statistic, when sample size is large, is approximately a chi‐square random variable. Tests of hypotheses relating to contingency tables are also based on a statistic with approximate chi‐square distribution.

About this research paper

What this paper is about

Abstract A chi‐square random variable is defined as the sum of squares of independently distributed standard normal random variables, which explains the additive property of independent chi‐square random variables. Its probability distribution is described by a gamma probability density. The chi‐square goodness‐of‐fit statistic, when sample size is large, is approximately a chi‐square random variable. Tests of hypotheses relating to contingency tables are also based on a statistic with approximate chi‐square distribution.

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Available abstract

Abstract A chi‐square random variable is defined as the sum of squares of independently distributed standard normal random variables, which explains the additive property of independent chi‐square random variables. Its probability distribution is described by a gamma probability density. The chi‐square goodness‐of‐fit statistic, when sample size is large, is approximately a chi‐square random variable. Tests of hypotheses relating to contingency tables are also based on a statistic with approximate chi‐square distribution.

Key concepts: Mathematics, Chi-square test, Statistics, Contingency table, Square (algebra), Pearson's chi-squared test, Random variable, Statistic

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