As a Chi-Square Test of Independence or Homogeneity

Chi-squared, more properly known as Pearson's chi-square test, is a means of statistically evaluating data.

What is the purpose of the chi-square test of independence?

Chi-Square distribution is used for a normally distributed population.

Returns the one-tailed probability of the chi-squared (X^2) distribution; the area in the right tail under the chi-squared distribution curve.

CHIDIST Returns the one-tailed probability of the chi-squared (X^2) distribution; the area in the right tail under the chi-squared distribution curve.

In econometrics, you use the chi-squared distribution extensively.

A chi-square test is any statistical hypothesis test in which the test statistic has a chi-square distribution if the null hypothesis is true.

Student’s t-Test is any statistical hypothesis test in which the test statistic has a Student’s t distribution if the null hypothesis is true.

Chi-square test (X2) was used for statistical analysis.

Chi-square test and logistic regression were used.

Chi-squared tests and logistic regression were used for…

If you algebraically manipulate this formula, you arrive at the chi-squared distribution:

The Chi2 and I2 statistics were used to assess statistical heterogeneity.

Pearson chi-square test was used to compare proportions.