The Chi-Square Test

Abdul Quader Miah ()
Additional contact information
Abdul Quader Miah: Asian Institute of Technology

Chapter Chapter 8 in Applied Statistics for Social and Management Sciences, 2016, pp 171-181 from Springer

Abstract: Abstract The chi-square test is suitable for test of hypothesis dealing with categorical data. Two types of tests are provided—goodness-of-fit test and test of independence. Distributions of frequencies of different classes within two categorical variables are used to test the good fit or bad fit according to goodness-of-fit test. In the test of independence, two distributions in two categorical variables are tested whether they are related or not. Each is explained with the help of examples.

Keywords: Chi-square test; Goodness-of-fit test; Test of independence (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:978-981-10-0401-8_8

Ordering information: This item can be ordered from
http://www.springer.com/9789811004018

DOI: 10.1007/978-981-10-0401-8_8

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 ().