5.4.5 - Chi Square Test - Teradata Warehouse Miner

Teradata Warehouse Miner User Guide - Volume 3Analytic Functions

Product
Teradata Warehouse Miner
Release Number
5.4.5
Published
February 2018
Language
English (United States)
Last Update
2018-05-04
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The most common application for chi-square is in comparing observed counts of particular cases to the expected counts. For example, a random sample of people would contain m males and f females but usually we would not find exactly m=½N and f=½N. We could use the chi-squared test to determine if the difference were significant enough to rule out the 50/50 hypothesis.

The Chi Square Test determines whether the probabilities observed from data in a RxC contingency table are the same or different. The null hypothesis is that probabilities observed are the same. Output is a p-value which when compared to the user’s threshold, determines whether the null hypothesis should be rejected.