STATISTICS

chi-square goodness of fit statistic

compares the observed frequency of a category with the model expected frequency.

χ2=∑i(Oi−Ei)2Ei\chi^2=\sum_i\frac{(O_i-E_i)^2}{E_i}

symbols, variables and units

O_i: observed frequency; E_i: expected frequency; χ²: dimensionless.

applicable conditions and boundaries

Each E_i>0; the chi-square asymptotic test requires sufficient expected frequency and adjusts the estimated parameter degrees of freedom.

formula source code

The following is a copyable LaTeX expression.

\chi^2=\sum_i\frac{(O_i-E_i)^2}{E_i}

Reference and Extended Learning

NIST/SEMATECH · e-Handbook of Statistical Methods ↗

is organized according to model definition and assumptions. Please check actual conditions and original literature before engineering, research and clinical use.

chi squaregoodness of fit

Same subject formula

Go to Free Science Tool Library ↗