ISSN : 1229-6783(Print)
ISSN : 2288-1484(Online)
ISSN : 2288-1484(Online)
Journal of the Korea Safety Management & Science Vol.15 No.1 pp.283-292
DOI : https://doi.org/10.12812/ksms.2013.15.1.283
DOI : https://doi.org/10.12812/ksms.2013.15.1.283
식스시그마 프로젝트에서 연구가설과 통계가설에 의한 통계적 유의성 및 실무적 유의성의 적용방안
Implementation of Statistical Significance and Practical Significance Using Research Hypothesis and Statistical Hypothesis in the Six Sigma Projects
Received October 4, 2012; Revision Received December 7, 2012; Accepted December 7, 2012.
Abstract
This paper aims to propose a new steps of hypothesis testing using analysis process and improvementprocess in the six sigma DMAIC. The six sigma implementation models proposed in this paper consist of sixsteps. The first step is to establish a research hypothesis by specification directionality and FBP(Falsibility ByPopper). The second step is to translate the research hypothesis such as RHAT(Research Hypothesis AbsentType) and RHPT(Research Hypothesis Present Type) into statistical hypothesis such as H0(Null Hypothesis)and H1(Alternative Hypothesis). The third step is to implement statistical hypothesis testing by PBC(Proof ByContradiction) and proper sample size. The fourth step is to interpret the result of statistical hypothesis test.The fifth step is to establish the best conditions of product and process conditions by experimental optimizationand interval estimation. The sixth step is to draw a conclusion by considering practical significance andstatistical significance. Important for both quality practitioners and academicians, case analysis on six sigmaprojects with implementation guidelines are provided.
RHAT,RHPT,Specification Directionality,FBP,H0,H₁,PBC,Proper Sample Size,Practical Significance,Statistical Significance,Case Analysis
- 30 최성운 283-292.pdf471.3KB
Reference
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14.www.minitab.com
15.www.q-korea.net
2.Cho H., Abe S. (2012), "Is Two-Tailed Testing for Directional Research Hypotheses Tests Legitimate?", Jounal of Business Research, In Press.
3.Churchill C.A.Jr., Iacobucci D.(2002), Marketing Reserach : Methodological Foundations, 8th Edition, Harcourt College Publishers.
4.Dawson B. Trapp R.G.(2004), Basic & Clinical Biostatistics, 4th Edition, McGraw-Hill.
5.Gravetter F.J., Wallnau L.B.(2007), Statistics for the Behavioral Sciences, 7th Edition, Thomson Wadsworth.
6.Harnett D.L., Soni A.K.(1991), Statistical Methods for Business and Economics, Addison Wesley.
7.Harris M.B.(1995), Basic Statistics for Behavioral Science Reaserch, Allyn & Bacon.
8.Howell D.C.(2007), Statistical Methods for Psychology, 6th Edition, Thomson Wadsworth.
9.Hunt S.D.(1991), Modern Marketing Theory : Critical Issues in the Philosophy of Marketing Science, South-Western Publishing Co.
10.Korosteleva O.(2008), Clinical Statistics : Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis, Jones & Bartlett Publishers.
11.Mathews P.G.(2005), Design of Experiments with MINITAB, ASQ Quality Press.
12.Piamphongsant T. Mandhachitara R. (2008), "Psychological Antecedents of Career Women's Fashion Clothing Conformity", Journal of Fashion Marketing and Management, 12(4), 438-455.
13.Schuimann D.J.(1987), "A Comparison of the Two One-Sided Tests Procedure and the Power Approach for Assessing the Equivalence of Average "Bioavailability", Journal of Phamacokinetics and Biopharmaceutics, 15, 657-680.
14.www.minitab.com
15.www.q-korea.net
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