Chi-square formula is a statistical formula to compare two or more statistical data sets. It is used for data that consist of variables distributed across various categories and is denoted by χ 2.

Pearson's chi-squared test is used to determine whether there is a statistically significant difference between the expected frequencies and the observed frequencies in one or more categories of a …

There are two types of chi-square tests. Both use the chi-square statistic and distribution for different purposes: A chi-square goodness of fit test determines if sample data matches a population. For …

Aug 29, 2023 · The chi-square statistic tells you how much difference exists between the observed count in each table cell to the counts you would expect if there were no relationship at all in the population.

Dec 15, 2025 · 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.

May 23, 2022 · Calculate the chi-square value from your observed and expected frequencies using the chi-square formula. Find the critical chi-square value in a chi-square critical value table or using …

Nov 27, 2025 · The formula for the chi-squared test is χ 2 = Σ (Oi − Ei)2/ Ei, where χ 2 represents the chi-squared value, Oi represents the observed value, Ei represents the expected value (that is, the …

So how do we calculate this p-value? We use the Chi-Square Test! Note: Chi Sounds like "Hi" but with a K, so it sounds like " Ki square" And Chi is the greek letter Χ, so we can also write it Χ2. Important …

In this article, we'll progress logically through the essential components of chi-square testing, equipping you with both theoretical understanding and practical skills.

Welcome to this comprehensive guide on Chi‑Square (χ²) tests, essential tools in statistics for analyzing categorical data.