Chi-Square

Thomas W. MacFarland and Jan M. Yates
Additional contact information
Thomas W. MacFarland: Nova Southeastern University, Office of Institutional Effectiveness
Jan M. Yates: Nova Southeastern University, Abraham S. Fischler College of Education

Chapter Chapter 3 in Introduction to Nonparametric Statistics for the Biological Sciences Using R, 2016, pp 77-102 from Springer

Abstract: Abstract The Chi-square test is perhaps the most frequently used (or overused) nonparamteric statistical test. The Chi-square test, named for the Greek letter χ (i.e., Chi or the Greek letter for x), is typically used to test for differences in proportions between two or more groups. The Chi-square test is also called a goodness of fit test. That is to say, the Chi-square test is used to see if grouped data actually fit into declared groups, or if the data instead do not fit into the group. For this lesson, Chi-square will be demonstrated using data in two formats: (1) Chi-square using R will first be demonstrated where the data are presented as an external file imported into R, with data organized at the level of individual subjects, (i.e., each row represents the data for an individual subject) and (2) Chi-square using R will also be demonstrated where data are not at the level of individual subjects but data are instead presented in summary format, as a collapsed contingency table.

Keywords: Bar plot (stacked; side-by-side); Boolean; Central tendency; Chi-square; Code book; Comma-separated values (.csv); Contingency table; Crosstabs; Distribution-free; Dotplot; Frequency distribution; Goodness of fit; Histogram; Mosaic plot; Nominal; Nonparametric; Normal distribution; Null hypothesis; Parametric; Probability (p-value); Proportion; Representation; Statistical significance; Yates correction (search for similar items in EconPapers)
Date: 2016
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:978-3-319-30634-6_3

Ordering information: This item can be ordered from
http://www.springer.com/9783319306346

DOI: 10.1007/978-3-319-30634-6_3

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 ().