Hi there,

This is a great question. Green Belt Certification requires that you build your “problem solving muscle” and part of that is understanding some basic statistical concepts. As you’re most likely aware, Lean Six Sigma is based on the DMAIC model and although there is one “Measure” phase, there is data collected and analyzed at each phase to some degree. The data analysis is paired with process analysis in order to get to the root causes of process problems. Working with number is not the only focus but it’s important.

**Green Belt Training**

Below is a list of basic data concepts that are part of the Green Belt Training:

- Value Stream Mapping data
- Cycle Time: Process Time, Wait Time, Lead Time
- Work in Process,
- % Complete and Accurate
- Changeover Time
- Takt Time (measure of customer demand)

- Continuous (Variable) Data vs Discrete (Attribute) Data
- Stratification
- Checksheets, Frequency Plots
- Basic Sampling concepts
- Basic Measurement Systems Analysis concepts
- Baseline Measurements:
- DPU
- DPMO
- Sigma
- Final Yield %
- First Pass Yield %
- Rolled Throughput Yield %

- Data Analysis Charts and Graphs
- Pareto Charts
- Histograms
- Run Charts
- Control Charts (I & MR & P Charts)
- Box Plots
- Scatter Plots

- Measures of Center, Spread and Correlation
- Mean, Median, Mode
- Range & Standard Deviation
- Correlation Coefficients, R-Values

**Black Belt Training**

The Black Belt Training builds on the base of statistical knowledge established in the Green Belt Training along with detailed instructions on how to setup the data for and use statistical software such as Minitab and SigmaXL. The advanced statistical topics include:

- Sampling
- Population parameters vs sampling statistics
- Strategies and Calculations

- P-value – use in statistical tests
- Normality – Anderson Darling Test
- Measurements Systems Analysis (Gage R&R)
- Tests for both Continuous & Discrete Data
- How to setup, run and analyze measurement testing

- Process Capability, Cpk, Cpu, Cpl
- Hypothesis Testing
- One Proportion, Two Proportion, Chi-Square
- Test for Two Variances, Bartlett’s, One-Sample T, Two-Sample T, One-Way ANOVA
- Levene’s, One-Sample Sign, Mann-Whitney, Mood’s Median
- Regression, Multiple Regression

- Design of Experiments (DOE)
- One Factor at a Time (OFAT)
- DOE – Full Factorial
- DOE – Fractional Factorial

- Control Charts
- I & MR, X-Bar & R, X-Bar & S
- P Chart, nP Chart, C Chart, U Chart

You can choose the level of instruction that is right and most useful to you. I hope that was helpful!