| Ch. 1 | Evolution of quality design and control | 3 |
| Ch. 2 | Conceptual framework for quality : design and control | 34 |
| Ch. 3 | Statistical methods and probability concepts for data characterization | 64 |
| Ch. 4 | Sampling distributions and statistical hypothesis testing | 106 |
| Ch. 5 | Conceptual framework for statistical process control | 137 |
| Ch. 6 | Shewhart control charts for variable data | 175 |
| Ch. 7 | Importance of rational sampling | 237 |
| Ch. 8 | Interpretation of [actual symbol not reproducible] and R control charts : use of sampling experiments | 260 |
| Ch. 9 | Some control chart methods for individual measurements | 289 |
| Ch. 10 | Process capability assessment | 327 |
| Ch. 11 | The design and analysis of tolerances | 366 |
| Ch. 12 | Statistical thinking for process study : a case study | 404 |
| Ch. 13 | Shewhart control charts for attribute data | 445 |
| Ch. 14 | Attribute control chart implementation for process improvement : two case studies | 503 |
| Ch. 15 | Conceptual framework for planned experimentation | 525 |
| Ch. 16 | Design and analysis of simple comparative experiments | 563 |
| Ch. 17 | Design and interpretation of 2[superscript k] factorial experiments | 613 |
| Ch. 18 | Analysis of two-level factorial designs | 665 |
| Ch. 19 | Model building for design and improvement using two-level factorial designs | 695 |
| Ch. 20 | Two-level fractional factorial designs | 751 |
| Ch. 21 | Sequential and iterative nature of experimentation | 797 |
| Ch. 22 | Robust design case studies | 832 |
| Ch. 23 | Modeling of response surfaces and response optimization | 858 |