The birth of non-parametric statistics is historically related to the solution of methodologic problems in experimental psychology. It was Stanley S. Stevens (1906-1973) who solved the question about the inappropriate use of measurement scales; he also proposed a new classification that gave rise to the distinction between nominal scales, rank scales, interval scales and continuous scales, a distinction we introduced in Chapter 2 (see Table 2.1). Based on this, behavioral science statistics was developed in the 1940s, in part thanks to other researchers such as Quinn McNemar (1900-1986), Frederick Mosteller (b., 1916) and Anthony W.F. Edwards (b., 1935), with a large use of non-parametric methods [CARACCIOLO, 1992]. Moreover, non-parametric statistics is also the result of a broader discussion between the founding fathers of Theoretical Statistics and the founding fathers of Modern Statistics (see Introduction to Chapter 4).
KeywordsFisher Exact Test Binomial Test McNemar Test Pectoral Muscle Iodinate Contrast Agent
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