STAT 423/523 Statistical Methods for Engineers and Scientists

Spring 2025


Course Info

Syllabus (PDF)

Lecture Notes

  1. Lecture 0: Overview [Lecture Version]
  2. Lecture 1: Review on Probability [Lecture Version] [Handout Version]
  3. Lecture 2: Point Estimation I [Lecture Version] [Handout Version]
  4. Lecture 3: Point Estimation II [Lecture Version] [Handout Version]
  5. Lecture 4: Hypothesis Testing I [Lecture Version] [Handout Version] || [R Notebook]
  6. Lecture 5: Hypothesis Testing II [Lecture Version] [Handout Version] || [R Notebook]
  7. Midterm Review [Lecture Version]
  8. Lecture 6: Analysis of Variance I [Lecture Version] [Handout Version]
  9. Lecture 7: Analysis of Variance II [Lecture Version] [Handout Version] || [R Notebook]
  10. Lecture 8: Multifactor Analysis of Variance I [Lecture Version] [Handout Version]
  11. Lecture 9: Multifactor Analysis of Variance II [Lecture Version] [Handout Version] || [R Notebook]
  12. Lecture 10: Simple Linear Regression [Lecture Version] || [R Notebook]

Homework