Replies to the comments made by Kenneth J. Zucker (see record 2014-12202-001) on the authors' original article (see record 2013-28991-004). The authors thank Zucker for helpful comments on their paper and for scrutinizing their statistics. Zucker correctly notes that the chi-square value of 2.69 is, in fact, non-significant and the chi-square for the second calculation is 5.00, which is significant at p < 0.05. The authors apologize for these errors and thank Zucker for the correction. Regarding the use of Yates' correction, there remains much debate about whether it should be used
The following files accompany this module: ChiSq_Distribution.xlsx ChiSq_Distribution.pdf p-valu...
Friedman's chi-square test is a non-parametric statistical test for $r\geq2$ treatments across $n\ge...
Reduced chi-squared is a very popular method for model assessment, model comparison, convergence dia...
The Pearson’s chi-square test represents a nonparametric test more used in Biomedicine and Social Sc...
2x 2 contingency table is usually analyzed by using the chi-squared asymptotic test, with Yates' con...
Yates ’ continuity correction of the chi-squared test for testing the homogeneity of two binomial pr...
In this article we describe a modification of the robust chi-square test of fit that yields more acc...
Applied researchers have employed chi-square tests for more than one hundred years. This paper addre...
The Chi-Square test (χ2 test) is a family of tests based on a series of assumptions and is frequentl...
The chi-square test was compared with the Fisher exact test using Ns ranging from 3 to 69. Contrar...
Four variants of the chi-square statistic are evaluated in terms of their adequacy as tests of assoc...
This study compared the results of his chi square text of independence and the corrected chi square ...
Three of the potential models for the 2 x 2 contingency table are discussed: the hyper geometric Ind...
With two judges and a two-point rating scale, the test statistic for Kappa is the same as Pearson's ...
A Monte Carlo simulation was conducted to investigate the Type I error rates of several versions of ...
The following files accompany this module: ChiSq_Distribution.xlsx ChiSq_Distribution.pdf p-valu...
Friedman's chi-square test is a non-parametric statistical test for $r\geq2$ treatments across $n\ge...
Reduced chi-squared is a very popular method for model assessment, model comparison, convergence dia...
The Pearson’s chi-square test represents a nonparametric test more used in Biomedicine and Social Sc...
2x 2 contingency table is usually analyzed by using the chi-squared asymptotic test, with Yates' con...
Yates ’ continuity correction of the chi-squared test for testing the homogeneity of two binomial pr...
In this article we describe a modification of the robust chi-square test of fit that yields more acc...
Applied researchers have employed chi-square tests for more than one hundred years. This paper addre...
The Chi-Square test (χ2 test) is a family of tests based on a series of assumptions and is frequentl...
The chi-square test was compared with the Fisher exact test using Ns ranging from 3 to 69. Contrar...
Four variants of the chi-square statistic are evaluated in terms of their adequacy as tests of assoc...
This study compared the results of his chi square text of independence and the corrected chi square ...
Three of the potential models for the 2 x 2 contingency table are discussed: the hyper geometric Ind...
With two judges and a two-point rating scale, the test statistic for Kappa is the same as Pearson's ...
A Monte Carlo simulation was conducted to investigate the Type I error rates of several versions of ...
The following files accompany this module: ChiSq_Distribution.xlsx ChiSq_Distribution.pdf p-valu...
Friedman's chi-square test is a non-parametric statistical test for $r\geq2$ treatments across $n\ge...
Reduced chi-squared is a very popular method for model assessment, model comparison, convergence dia...