# The chi square test

A chi-square test calculator for a 2x2 table chi-square calculator this simple chi-square calculator tests for association between two categorical variables - for example, sex (males and females) and smoking habit (smoker and non-smoker.

Do you remember how to test the independence of two categorical variables this test is performed by using a chi-square test of independence null hypothesis: the two categorical variables are independent alternative hypothesis: the two categorical variables are dependent we will compare the value. Sal uses the chi square test to the hypothesis that the owner's distribution is correct.

This lesson describes when and how to conduct a chi-square test of independence key points are illustrated by a sample problem with solution.

An easy chi-square test calculator for a 2 x 2 table. The chi-square test of independence is used to determine if there is a significant relationship between two nominal (categorical) variables.

## The chi square test

A chi-squared test, also written as χ 2 test, is any statistical hypothesis test where the sampling distribution of the test statistic is a chi-squared distribution when the null hypothesis is true. Any statistical test that uses the chi square distribution can be called chi square test.

Pearson's chi-squared test (χ 2) is a statistical test applied to sets of categorical data to evaluate how likely it is that any observed difference between the sets arose by cha. Chi-square test chi-square is a statistical test commonly used to compare observed data with data we would expect to obtain according to a specific hypothesis.