Most people have heard of chi-squared test, but not many know that there are (at least) two types of chi-squared tests.

The two most common chi-squared tests are:

- 1-way classification: Goodness-of-fit test
- 2-way classification: Contingency test

The goodness-of-fit chi-squared test is to test proportions, or to be precise, to test if an an observed distribution fits an expected distribution.

The contingency test (the more classical type of chi-squared test) is to test the independence or relatedness of two random variables.

The best website I found regarding how to practically code (in R) for the two chi-squared tests is: https://web.stanford.edu/class/psych252/cheatsheets/chisquare.html

I created a PDF copy of the above site, in case it becomes unavailable in the future:

## Best Videos on each type of Chi-squared test

Goodness of fit Chi-squared test video by Khan Academy:

Contingency table chi-square test:

Reblogged this on Project ENGAGE.

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