CRITICAL REGIONS FOR THE FISHER'S EXACT TEST IN 2× ×2 TABLES Use of the tables x1 y1 n1 x2 y2 n2 a1 a2 N Given a 2×2 table like the above, in which x1 Æ Hypergeometric and: N≤ 50, a1= Min (n1; n2; a1; a2), x1y2 < x2y1 ≡ x1/n1<x2/n2 the test for H: "not association" is significant if n1≥C, where C is the number indicated within the table for the combination of values of N, a1, x1, the number of tails and the error α for the test (in that order). The absence of a value for C (or the presence of "-") is indicative of "non-significant test" for the error α selected. For further details see: Martín Andrés, A., Luna Del Castillo, J.D. and Herranz Tejedor, I. (1991). New critical regions for Fisher's exact test. Journal of Applied Statistics 18 (2), 233-254.