The effect of the Yates correction on the chi square value is that chi square is
A) slightly decreased
B) slightly increased
C) greatly increased
D) none of these, since Yates does not influence the chi square value

Question

Quizplus · Accepted Answer

The Yates correction is used to adjust for the fact that the chi square test tends to overemphasize small differences between observed and expected values when sample sizes are small. The correction involves subtracting 0.5 from the absolute value of the difference between observed and expected values in each cell before squaring and dividing by expected values. This results in a slightly smaller chi square value, therefore choice A is correct.

The Effect of the Yates Correction on the Chi Square