MBizM Lean Six Sigma Statistical Analysis Tools in Six Sigma (SATSS)

Duration: 3 days

INTRODUCTION:
  • This programme is designed by Six Sigma Practitioners that found the most useful Statistical Tools to be used for Process Improvement Projects.
  • This programme draws examples from all sectors of business ranging from transactional to manufacturing case studies.
  • This programme is aimed at participants that are working on improvement projects to analyse data using the most useful statistical tools, which are quantitative and intense, necessary for those determined to minimize corporate waste and maximize operational efficiency.
  • This programme would help participants in describing data both graphically and numerically, whilst focusing on concepts, applications and interpretations of the tools used during the DMAIC stages.


COURSE CONTENT / CURRICULUM

DAY 1: CONTINUOUS DATA TOOLS
Type 1 & Type 2 error
  • Degree of Freedom
  • Power and Sample Size
  • 1 Sample t-Test
  • 2 Sample t-Test
  • Paired t-Test
  • One way ANOVA
  • Two way ANOVA
  • Test of Equal Variance (TOEV) Tables


DAY 2: CONTINUOUS DATA TOOLS
  • Correlation Analysis
  • Simple Linear Regression
  • Multiple Regression
  • Best Subset Regression
  • General Liner Model (GLM)
  • Binary Logistics Regression
  • Ordinal Logistics Regression
  • Nominal Logistics Regression


DAY 3: ATTRIBUTE DATA TOOLS & NONPARAMETRIC TESTS
  • 1 Proportion Test
  • 2 Proportion Test
  • Chi-Square Test
  • 1 Sample-Wilcoxon Test
  • Mann-Whitney Test
  • Kruskal-Wallis Test

Additional Curriculum: (Over 3 Days)
1. Hypothesis Testing
2. Sigma Value / Z-Bench
3. Graphical Tools for Statistics
  • Pareto Charts
  • Box Plots
  • Run Charts
  • Dot Plots
  • Scatter Plots
  • Matrix Plots
  • Histograms
  • Time Series Plots