![]() Chi-squared test of independence in contingency tables.It results in the following hypothesis evaluation: Despite popular distributions, for instance, normal distribution and the exponential distributions, chi-square distribution is rarely applied in direct modeling of ordinary occurrences. The chi-squared distribution is most commonly employed in hypothesis testing. Other mathematical studies such as Friedman's analysis of variance by ranks apply chi-square distribution. More specifically, it measures the independence of the two methods of a grouping of qualitative information and confidence range approximation for population standard deviation of the normal distribution from a representative standard deviation. The chi-squared is applied in the regular chi-squared tests for goodness of fit of a witnessed distribution to a hypothetical one. Back to: RESEARCH, ANALYSIS, & DECISION SCIENCE How is the Chi-Square (C2) Distribution Used? It is used commonly in hypothesis evaluation or development of an acceptable range of deviation. Chi-distribution is a unique case of a gamma distribution and is among the most broadly applied probability distribution in inferential statistics. In probability theory and statistics, the Chi-squared distribution also referred as chi-square or X2-distribution, with k degrees of freedom, is the distribution of a sum of squares of k independent standard regular normal variables. ![]() Update Table of Contents What is a Chi-Square (C2) Distribution? How is the Chi-Square (C2) Distribution Used? The Chi-Square Statistic Academic Research for Chi Square (c2) Distribution What is a Chi-Square (C2) Distribution?
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