Abstract
Categorical variables, including nominal (where numbers are simply labels) and ordinal, rank order variables, are described by tabulating their frequencies or probability. If two categorical variables are associated, the frequencies of values of one will depend on the frequencies of values of the other. Chi square tests the hypothesized association between two categorical variables and contingency analysis quantifies their association.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
These data are fictitious, though designed to reflect a realistic scenario.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Fraser, C. (2019). Association Between Two Categorical Variables: Contingency Analysis with Chi Square. In: Business Statistics for Competitive Advantage with Excel 2019 and JMP. Springer, Cham. https://doi.org/10.1007/978-3-030-20374-0_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-20374-0_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-20373-3
Online ISBN: 978-3-030-20374-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)