원문정보
Review and Derivation of Sample Size Determination for Hypothesis Testing and Interval Estimation
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Most useful statistical techniques in six sigma DMAIC are hypothesis testing and interval estimation. So this paper reviews and derives sample size formula by considering significance level, power of detectability and effect difference. The quality practioners can effectively interpret the practical and statistical significance with the rational sample sizing.
목차
Abstract
1. 서론
2. 유의수준과 검출력을 고려한 샘플의 크기 결정
2.1 1-Sample Z Test
2.2 1-Sample t Test
2.3 2-Sample Z Test
2.4 2-Sample t Test
2.5 Paired t Test
2.6 1-Proportion Z Test
2.7 2-Proportions Z Test
2.8 1-Sample Poisson Rate Z Test
2.9 2-Sample Poisson Rates Z Test
2.10 1-Variance X2 Test
2.11 2-Variances F Test
2.12 Correlation Coefficient Z Test
2.13 One-Way ANOVA t Test
2.14 2k Factorial Design t Test
3. 신뢰수준을 고려한 샘플크기 결정
3.1 1-Sample Z CI
3.2 1-Sample t CI
3.3 2-Sample Z CI
3.4 2-Sample t CI
3.5 Paired t CI
3.6 1-Proportion Z CI
3.7 2-Proportions Z CI
3.8 1-Sample Poisson Rate Z CI
3.9 2-Sample Poisson Rates Z CI
3.10 Regression CI
5. 결론
6. 참고문헌
1. 서론
2. 유의수준과 검출력을 고려한 샘플의 크기 결정
2.1 1-Sample Z Test
2.2 1-Sample t Test
2.3 2-Sample Z Test
2.4 2-Sample t Test
2.5 Paired t Test
2.6 1-Proportion Z Test
2.7 2-Proportions Z Test
2.8 1-Sample Poisson Rate Z Test
2.9 2-Sample Poisson Rates Z Test
2.10 1-Variance X2 Test
2.11 2-Variances F Test
2.12 Correlation Coefficient Z Test
2.13 One-Way ANOVA t Test
2.14 2k Factorial Design t Test
3. 신뢰수준을 고려한 샘플크기 결정
3.1 1-Sample Z CI
3.2 1-Sample t CI
3.3 2-Sample Z CI
3.4 2-Sample t CI
3.5 Paired t CI
3.6 1-Proportion Z CI
3.7 2-Proportions Z CI
3.8 1-Sample Poisson Rate Z CI
3.9 2-Sample Poisson Rates Z CI
3.10 Regression CI
5. 결론
6. 참고문헌
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보