When the data are counts or the frequencies of particular events and can be expressed as a contingency table, then they can be analysed using the chi-square distribution. When applied to a 2 x 2 table, the test is approximate and care needs to be taken in analysing tables when the expected frequencies are small either by applying Yate’s correction or by using Fisher’s exact test. Larger contingency tables can also be analysed using this method. Note that it is a serious statistical error to use any of these tests on measurement data
[[abstract]]To test the mutual independence of two qualitative variables (or attributes) it is a com...
CHITEST is an interactive FORTRAN 77 program that uses Monte-Carlo methods to test the null hypothes...
[[abstract]]To test the mutual independence of two qualitative variables (or attributes), it is a co...
Chi-square test and the logic of hypothesis testing were developed by Karl Pearson. In this article ...
Four variants of the chi-square statistic are evaluated in terms of their adequacy as tests of assoc...
Testing whether an observed distribution of observations deviates from normality is a common type of...
a<p>: 6 isolates (4 MSSA and 2 MRSA) inducible resistance to clindamycin.</p>b<p>: 7 isolates (1 MSS...
The testing for an association between two categorical variables using count data is commonplace in ...
This paper describes the historical development of analytic techniques for frequency data presented ...
The aim of this article is to apply the adjusted residuals to analysis of (two-way) contingency tabl...
Check-All-That-Apply (CATA) and Free-Comment (FC) provide a so-called contingency table containing c...
When testing the null hypothesis of independence in a two-way contingency table, the likelihood rati...
The Chi-square statistic is a non-parametric (distribution free) tool designed to analyze group diff...
Applied researchers have employed chi-square tests for more than one hundred years. This paper addre...
<p>A chi-squared contingency table test was performed to compare two genomic regions where A represe...
[[abstract]]To test the mutual independence of two qualitative variables (or attributes) it is a com...
CHITEST is an interactive FORTRAN 77 program that uses Monte-Carlo methods to test the null hypothes...
[[abstract]]To test the mutual independence of two qualitative variables (or attributes), it is a co...
Chi-square test and the logic of hypothesis testing were developed by Karl Pearson. In this article ...
Four variants of the chi-square statistic are evaluated in terms of their adequacy as tests of assoc...
Testing whether an observed distribution of observations deviates from normality is a common type of...
a<p>: 6 isolates (4 MSSA and 2 MRSA) inducible resistance to clindamycin.</p>b<p>: 7 isolates (1 MSS...
The testing for an association between two categorical variables using count data is commonplace in ...
This paper describes the historical development of analytic techniques for frequency data presented ...
The aim of this article is to apply the adjusted residuals to analysis of (two-way) contingency tabl...
Check-All-That-Apply (CATA) and Free-Comment (FC) provide a so-called contingency table containing c...
When testing the null hypothesis of independence in a two-way contingency table, the likelihood rati...
The Chi-square statistic is a non-parametric (distribution free) tool designed to analyze group diff...
Applied researchers have employed chi-square tests for more than one hundred years. This paper addre...
<p>A chi-squared contingency table test was performed to compare two genomic regions where A represe...
[[abstract]]To test the mutual independence of two qualitative variables (or attributes) it is a com...
CHITEST is an interactive FORTRAN 77 program that uses Monte-Carlo methods to test the null hypothes...
[[abstract]]To test the mutual independence of two qualitative variables (or attributes), it is a co...