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Chi-square Test

open access: yesPsychiatry and Behavioral Sciences, 2016
The Chi square (?2) test is used to examine whether distributions of categorical variables differ from one another. The Chi Square statistic compares the counts of categorical responses between two (or more) independent groups.
Selim Kılıc
doaj   +2 more sources

The chi-square test of independence. [PDF]

open access: yesBiochem Med (Zagreb), 2013
The Chi-square statistic is a non-parametric (distribution free) tool designed to analyze group differences when the dependent variable is measured at a nominal level. Like all non-parametric statistics, the Chi-square is robust with respect to the distribution of the data.
McHugh ML.
europepmc   +4 more sources

Maximally selected chi-square statistics and binary splits of nominal variables [PDF]

open access: yes, 2005
We address the problem of maximally selected chi-square statistics in the case of a binary Y variable and a nominal X variable with several categories. The distribution of the maximally selected chi-square statistic has already been derived when the best
Boulesteix, Anne-Laure
core   +2 more sources

Chi-square difference test.

open access: yes, 2022
Chi-square difference test.
Yuen Yee Yen (13141043)   +2 more
core   +1 more source

Chi-square test results.

open access: yes, 2022
Chi-square test results.
Eugenia Rostańska (12407506)   +4 more
core   +1 more source

What outage attributes affect the frequencies of forced transformer outages in Eskom regions? Evidence from 2007–2016 data

open access: yesEnergy Reports, 2020
In this paper, the authors present a novel approach to the study of the frequency of forced outages in various operating units, or regions of Eskom, using statistical techniques.
Nhlanhla Mbuli   +3 more
doaj   +1 more source

On the Mistaken Use of the Chi-Square Test in Benford’s Law

open access: yesStats, 2021
Benford’s Law predicts that the first significant digit on the leftmost side of numbers in real-life data is distributed between all possible 1 to 9 digits approximately as in LOG(1 + 1/digit), so that low digits occur much more frequently than high ...
Alex Ely Kossovsky
doaj   +1 more source

Maximally selected chi-square statistics and umbrella orderings [PDF]

open access: yes, 2006
Binary outcomes that depend on an ordinal predictor in a non-monotonic way are common in medical data analysis. Such patterns can be addressed in terms of cutpoints: for example, one looks for two cutpoints that define an interval in the range of the ...
Anne-laure Boulesteix   +3 more
core   +1 more source

Maximally selected chi-square statistics for at least ordinal scaled variables [PDF]

open access: yes, 2005
The association between a binary variable Y and a variable X with an at least ordinal measurement scale might be examined by selecting a cutpoint in the range of X and then performing an association test for the obtained 2x2 contingency table using the ...
Boulesteix, Anne-Laure
core   +1 more source

Chi-Square test for independence

open access: yes, 2023
Cara mengutipRajeg, Gede Primahadi Wijaya (2023). Chi-Square test for independence. figshare. Presentation. https://doi.org/10.6084/m9.figshare.24763758DeskripsiSalindia perkuliahan untuk mata kuliah Linguistik Korpus pada Program Studi Doktor Linguistik,
Gede Primahadi Wijaya Rajeg (3375653)
core   +1 more source

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