Principles of six sigma -- Six sigma installation -- Lean sigma projects -- Lean practices -- Value stream mapping -- Introductory statistics and data -- Making sense of data in six sigma and lean -- Fundamentals of capability and rolled throughput yield -- Probability -- Discrete random varibles and their probability distributions -- Continuous random variables and their probability distributions -- Sampling distributions -- Single-population estimation -- Control methods -- Single-population hypothesis tests -- Estimation and hypothesis tests: two populations -- Chi-square tests -- Analysis of variance -- Linear and multiple regression -- Measurement analysis -- Design of experiments -- Design for six sigma (DFSS), simulation, and optimization -- Survey methods and samplign techniques

1. Process control -- Statistical methods
2. Six sigma (Quality control standard)
3. Statistics -- Data processing