Bivariate Association
Thomas Cleff
Additional contact information
Thomas Cleff: Pforzheim University
Chapter 4 in Exploratory Data Analysis in Business and Economics, 2014, pp 61-113 from Springer
Abstract:
Abstract In the first stage of data analysis we learned how to examine variables and survey traits individually, or univariately. In this chapter we’ll learn how to assess the association between two variables using methods known as bivariate analyses. This is where statistics starts getting interesting – practically as well as theoretically. This is because univariate analysis is rarely satisfying in real life. People want to know things like the strength of a relationship
Keywords: Contingency Table; Reading Comprehension; Ordinal Variable; Spurious Correlation; Discordant Pair (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-01517-0_4
Ordering information: This item can be ordered from
http://www.springer.com/9783319015170
DOI: 10.1007/978-3-319-01517-0_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().