This paper reviews nonparametric statistics by Neyman-Pearson test and Fisher test. Nonparametric statistics deal with the small sample with distribution-free assumption in multi-product and small-volume production. Two tests for various nonparametric statistic methods such as sign test, Wilcoxon test, Mann-Whitney test, Kruskal-Wallis test, Mood test, Friedman test and run test are also presented with the steps for testing hypotheses and test of significance.

Abstract
 1. 서론
 2. Neyman-Pearson 검정에 의한 비모수 통계[1]
  2.1 1개 모집단 중앙값 검정
  2.2 2개모집단 중앙값 검정 : Mann-Whitney 검정(Wilcoxon Rank Sum Test)
  2.3 세 개 이상 모집단의 중앙값 검정
  2.4 런 검정
 3. Fisher 검정에 의한 비모수 통계[1]
  3.1 1개 모집단 중앙값 검정
  3.2 2개모집단 중앙값 검정 : Mann-Whitney 검정
  3.3 세 개 이상의 모집단 중앙값 검정
  3.4 런 검정
 4. 결론
 5. 참고문헌

• 최성운 | Sungwoon Choi