top banner top banner
index
RegularArticles
ReplicationStudies
SpecialIssues
Vignettes
EditorialBoard
Instructions4Authors
JournalGuidelines
Messages
Submission

Search publications

Computation of cumulative density of noncentral chi-square distribution in Excel

Full text PDF
Bibliographic information: BibTEX format RIS format XML format APA style
Cited references information: BibTEX format APA style
Doi: 10.20982/tqmp.18.3.p255

Sambaraju, Prasanth
255-257
Keywords: Power of chi-square test , cumulative distribution function , noncentral
Tools: VBA
(no sample data)   (Appendix)

Noncentral distributions are obtained by transformation of their respective central distributions, and are identified by a noncentrality parameter. The noncentrality parameter measures the degree to which mean of test statistics departs, when the null hypothesis is false. Central distributions are used to describe test statistics, when the null hypothesis is true. Noncentral distributions are used to calculate statistical power of a test in situations when the null hypothesis is false. The paper presents Visual Basic for Application code in Microsoft Excel to compute the cumulative distribution function for noncentral chi-square distributions. The results obtained were found to be comparable with the reported values.


Pages © TQMP;
Website last modified: 2024-03-28.
Template last modified: 2022-03-04 18h27.
Page consulted on .
Be informed of the upcoming issues with RSS feed: RSS icon RSS