The χ2-test for ‘goodness of fit’: test for ‘association’

C. Mack
Additional contact information
C. Mack: Institute of Technology, Applied Mathematics

Chapter 11 in Essentials of Statistics for Scientists and Technologists, 1966, pp 95-105 from Springer

Abstract: Abstract Previously we have assumed that the correct type of distribution (e.g. normal, binomial, Poisson, etc.) for each problem was known. Obviously it is better to have some test available to determine quantitatively whether a set of observations really could come from a given (or a hypothetical) distribution. Karl Pearson in 1899 by using properties of the χ2 distribution (see Section 8.6) devised the ‘χ2 test’ for this purpose (there are other tests, but of a more specialized nature).

Date: 1966
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:978-1-4615-8615-9_11

Ordering information: This item can be ordered from
http://www.springer.com/9781461586159

DOI: 10.1007/978-1-4615-8615-9_11

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 ().