A New Test for Independence in 2×2 Contingency Tables

In statistical literature there exist many tests to reveal the independence of two qualitative variables in two‑way contingency tables (CTs), in particular in 2×2 CTs. In this paper four independence tests were compared. These are: the chi‑square test, being the most popular type of power divergence...

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Main Author: Piotr Sulewski
Format: Article
Language:English
Published: Lodz University Press 2017-11-01
Series:Acta Universitatis Lodziensis. Folia Oeconomica
Subjects:
Online Access:https://czasopisma.uni.lodz.pl/foe/article/view/949
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author Piotr Sulewski
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description In statistical literature there exist many tests to reveal the independence of two qualitative variables in two‑way contingency tables (CTs), in particular in 2×2 CTs. In this paper four independence tests were compared. These are: the chi‑square test, being the most popular type of power divergence statistics; the modular test and the d‑square test, which is a modification of the Pearson’s test; the logarithmic minimum test which is a new proposal. Critical values for the tests listed above were determined with the Monte Carlo method. In order to compare the tests, the measure of untruthfulness of H0 was proposed and the power of the tests was calculated.
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spelling doaj.art-b666213644e04ec281d7a4449eaf80ca2022-12-22T03:12:52ZengLodz University PressActa Universitatis Lodziensis. Folia Oeconomica0208-60182353-76632017-11-01433010.18778/0208-6018.330.041606A New Test for Independence in 2×2 Contingency TablesPiotr Sulewski0Pomeranian University in Słupsk, Faculty of Mathematics and Natural Sciences, Institute of MathematicsIn statistical literature there exist many tests to reveal the independence of two qualitative variables in two‑way contingency tables (CTs), in particular in 2×2 CTs. In this paper four independence tests were compared. These are: the chi‑square test, being the most popular type of power divergence statistics; the modular test and the d‑square test, which is a modification of the Pearson’s test; the logarithmic minimum test which is a new proposal. Critical values for the tests listed above were determined with the Monte Carlo method. In order to compare the tests, the measure of untruthfulness of H0 was proposed and the power of the tests was calculated.https://czasopisma.uni.lodz.pl/foe/article/view/949independence test2×2 contingency tablelogarithmic minimum statisticsmodular statisticspower divergence statisticsMonte Carlo method
spellingShingle Piotr Sulewski
A New Test for Independence in 2×2 Contingency Tables
Acta Universitatis Lodziensis. Folia Oeconomica
independence test
2×2 contingency table
logarithmic minimum statistics
modular statistics
power divergence statistics
Monte Carlo method
title A New Test for Independence in 2×2 Contingency Tables
title_full A New Test for Independence in 2×2 Contingency Tables
title_fullStr A New Test for Independence in 2×2 Contingency Tables
title_full_unstemmed A New Test for Independence in 2×2 Contingency Tables
title_short A New Test for Independence in 2×2 Contingency Tables
title_sort new test for independence in 2 2 contingency tables
topic independence test
2×2 contingency table
logarithmic minimum statistics
modular statistics
power divergence statistics
Monte Carlo method
url https://czasopisma.uni.lodz.pl/foe/article/view/949
work_keys_str_mv AT piotrsulewski anewtestforindependencein22contingencytables
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