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In probability theory and statistics, the -distribution with degrees of freedom is the distribution of a sum of the squares of independent standard normal random variables. [2] The chi-squared distribution is a special case of the gamma distribution and the univariate Wishart distribution. Specifically if then (where is the shape parameter and the scale parameter of the gamma distribution) and ...
Learn how to use chi-square tests to analyze categorical data and test hypotheses about frequency distributions and independence. Find out the formula, types, steps, and practice questions for chi-square tests.
A chi-square (χ2) statistic is a test that is used to measure how expectations compare to actual observed data or model results.
Learn what a Chi-Square test is and when to use it for categorical data. Find out how to perform the Chi-Square Goodness of Fit Test and the Chi-Square Test of Independence with examples and calculators.
The Chi-square test is a statistical method used to determine if there's a significant association between two categorical variables in a sample.
Learn about the Chi-Square test, its formula, and types. Understand when to use the tests, chi-square distributions, and how to solve Chi-Square problems.
Simple explanation of chi-square statistic plus how to calculate the chi-square statistic. Free online calculators and homework help.
Chi square The term "chi-square" (denoted χ 2) is used to describe a type of statistical distribution, hypothesis test, and test statistic. A chi-square statistic is a test statistic used as part of a chi-square test to determine whether a relationship exists between two variables.
The Chi-square distribution explained, with examples, simple derivations of the mean and the variance, solved exercises and detailed proofs of important results.
A chi-squared test is a statistical hypothesis test for contingency tables with large sample sizes. It is used to examine whether two categorical variables are independent or to test the goodness of fit of a distribution.