Below you will find complete descriptions and links to 4 different analytics calculators for computing Chi-square tests and Chi-square values.

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Compute a critical value of the Chi-square (Χ^{2}) distribution, given a (right-tail) probability value and the degrees of freedom. Knowing the critical chi-square value associated with a particular probability level can be very useful in analytics studies that rely on categorical data.

Compute the cumulative distribution function (CDF) for the chi-square distribution, given the upper limit of integration x, and the degrees of freedom. The chi-square distribution CDF yields the area under the chi-square distribution from zero to x, which is very useful for assessing probabilities in analytics studies that rely on categorical data.

Compute the probability density function (PDF) for the chi-square distribution, given the degrees of freedom and the point at which to evaluate the function x. The chi-square distribution PDF identifies the relative likelihood that an associated random variable will have a particular value, and is very useful for analytics studies that consider chi-square distribution probabilities.

Compute the one-tailed (right-tail) probability value for a chi-square test, given the chi-square value and the degrees of freedom. Knowing the probability level associated with a particular chi-square value is often very useful in analytics studies that rely on categorical data.