Data Analytics, Statistical Learning, and Engineering Statistics

Undergraduate Quality Assurance and Process Improvement Slides

Here is a complete set of slides made for an undergraduate course on Quality Assurance and Process Improvement.

  1. Quality, Statistics, and Quality Culture–Module 1
  2. Process Identification and Analysis–Module 2
  3. Measures of Performance and Metrology Basics–Module 3
  4. Modeling Measurement–Module 4
  5. Measurement and One Sample Inferences Part 1–Module 5
  6. Measurement and One Sample Inferences Part 2–Module 6
  7. Measurement and Two Sample Inferences Part 1–Module 7
  8. Measurement and Two Sample Inferences Part 2–Module 8
  9. A Simple Method for Separating Components of Variation in Measurements–Module 9
  10. One Way Random Effects Modeling and Measurement–Module 10
  11. Inference for One Way Random Effects Models–Module 11
  12. Standard Gauge R&R Data and Descriptive Statistics–Module 12
  13. The Two Way Random Effects Model and Gauge R&R–Module 13
  14. Range-Based Gauge R&R Inference–Module 14
  15. Two Way ANOVA Calculations–Module 15
  16. ANOVA-Based Gauge R&R Inference–Module 16
  17. Gauge Capability Ratios–Module 17
  18. Calibration Studies and Inference Based on Simple Linear Regression–Module 18
  19. R&R for 0/1 (Go/No-Go) Contexts Part 1 (Modeling)–Module 19
  20. R&R for 0/1 (Go/No) Inspection Part 2 (Point Estimates)–Module 20
  21. R&R for 0/1 (Go/No) Inspection Part 3 (Application of Elementary Confidence Limits)–Module 21
  22. Simple Principles of Process and Engineering Data Collection–Module 22
  23. Simple Statistical Graphics for Quality Assurance–Module 23
  24. Introduction to Shewhart Control Charting Part 1–Module 24
  25. Introduction to Shewhart Control Charting Part 2–Module 25
  26. Shewhart Control Charts for Measurements (Variables Data) Part 1–Module 26
  27. Shewhart Control Charts for Measurements (Variables Data) Part 2–Module 27
  28. EFC and SPM: One Thing Control Charting is Not–Module 28
  29. Control Charts for Counts (Attributes Data) Part 1–Module 29
  30. Control Charts for Counts (Attributes Data) Part 2–Module 30
  31. Patterns on Control Charts Part 1–Module 31
  32. Patterns on Control Charts Part 2 and Special Checks/Extra Alarm Rules–Module 32
  33. The Average Run Length Concept Part 1–Module 33
  34. The Average Run Length Concept Part 2–Module 34
  35. What if the Sample Size is 1?–Module 35
  36. Process Capability Analysis Part 1 (Normal Plotting)–Module 36
  37. Process Capability Analysis Part 2 (Capability Indices)–Module 37
  38. Process Capability Analysis Part 3 (Prediction and Tolerance Intervals)–Module 38
  39. “Statistical” (Probabilistic) Tolerancing Part 1 (Ideas)–Module 39
  40. “Statistical” (Probabilistic) Tolerancing Part 2 (Examples)–Module 40
  41. Design and Analysis of Experiments Part 1 (Basics and the One-Way Model)–Module 41
  42. Design and Analysis of Experiments Part 2 (One-Way Analyses)–Module 42
  43. Design and Analysis of Experiments Part 3 (Two-Way Factorial Studies)–Module 43
  44. Design and Analysis of Experiments Part 4 (Fitted Two-Way Factorial Effects)–Module 44
  45. Design and Analysis of Experiments Part 5 (Confidence Intervals for Two-Way Analyses)–Module 45
  46. Design and Analysis of Experiments Part 6 (p-Way Studies With 2-Level Factors)–Module 46
  47. Design and Analysis of Experiments Part 7 (p-Way Fitted Factorial Effects)–Module 47
  48. Design and Analysis of Experiments Part 8 (The Yates Algorithm and Prediction for p-Way Studies)–Module 48
  49. Design and Analysis of Experiments Part 9 (Inference for p-Way Factorial Studies)–Module 49
  50. Design and Analysis of Experiments Part 10 (Fractional Factorial Studies With 2-Level Factors)–Module 50
  51. Design and Analysis of Experiments Part 11 (Choice and Aliasing Structure for a Half Fraction)–Module 51
  52. Design and Analysis of Experiments Part 12 (Data Analysis for a Half Fraction)–Module 52
  53. Design and Analysis of Experiments Part 13 (Choice and Aliasing for Smaller-Than-Half Fraction Studies)–Module 53
  54. Design and Analysis of Experiments Part 14 (Data Analysis for Smaller-Than-Half Fractions)–Module 54
  55. Design and Analysis of Experiments Part 15 (Some Perspective and a Very-Small-Fraction Example)–Module 55

The materials on this site may be used without charge for non-commercial personal educational purposes.  Any copies made of the materials must bear printed acknowledgment of their Analytics Iowa LLC source.