Abstract: Approximately a century and a quarter ago, Karl Pearson placed his statistical stake in the ground, coining his famous chi-squared test for comparing differences between proportions. A staple methodology in the statistical community—both domestic and international—it is the go-to path taken in reference to exploiting truths involving basic contingency tables. Upon closer inspection, however, one discovers that this notion, in all of its glory and splendor, has endured an entire lifetime with a glaring misnomer. Its updated name should be obvious.
Bernard L. Dillard (2025);
On Revisiting the Name of the Chi-squared Test for Homogeneity of Proportions;
International Journal of Scientific and Research Publications (IJSRP)
15(9) (ISSN: 2250-3153),
DOI: http://dx.doi.org/10.29322/IJSRP.15.09.2025.p16502