Data Analytics, Statistical Learning, and Engineering Statistics

Undergraduate Quality Assurance and Process Improvement Lecture Videos

This page holds videos to accompany the Analytics Iowa LLC slides on Undergraduate Quality Assurance and Process Improvement located here.  YouTube links are immediately below.  Players for all of the videos then follow.

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

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