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Consider the following test on a 2x2 contingency table
using HypothesisTests
ct = [8 404; 12 212]
ChisqTest(ct)
It will give a one-sided p-value of 0.0184. But it is quite popular to apply the so-called Yates correction for a small table, which would result in 0.03404 instead. The competition provides that option: Scipy's stats.chi2_contingency and R's chisq.test makes it the default actually.
The text was updated successfully, but these errors were encountered:
Consider the following test on a 2x2 contingency table
It will give a one-sided p-value of 0.0184. But it is quite popular to apply the so-called Yates correction for a small table, which would result in 0.03404 instead. The competition provides that option: Scipy's
stats.chi2_contingency
and R'schisq.test
makes it the default actually.The text was updated successfully, but these errors were encountered: