Applied Analysis of Variance and Experimental Design

Autumn semester 2020

General information

Lecturer Lukas Meier
Assistants Meta-Lina Spohn, Corinne Emmenegger
Lectures Mon 14-16. The lectures take place on Zoom and the Zoom link can be found on Moodle.
Exercises Mon 16-18 (biweekly). The lectures take place on Zoom and the Zoom link can be found on Moodle.
Moodle >>
Course catalogue data >>
Exam Note: New format will be completely multiple choice with no negative points. Previous exams (with different style).

Course content

Principles of experimental design. One-way analysis of variance. Multi-factor experiments and analysis of variance. Block designs. Latin square designs. Split-plot and strip-plot designs. Random effects and mixed effects models. Full factorials and fractional designs.

Announcements

  • September 5th, 2019:
    Beginning of lecture: Monday, 23/09/2019. (Exercises start on 23/09/2019 at 15:15 in room HG E 1.1, with a special introduction to the "R" software)

Course materials

Lecture notes

Lecture notes can be found here: HTML | PDF

Course organisation

Week Topic Lecture notes Book chapters
Week 13 Final Remarks
Week 12 Power Chapter 10
  • 7.1
  • 7.3
Week 11 Incomplete Block Designs Chapter 9
  • 14.1 - 14.2
Week 10 Split-Plot Designs Chapter 8
  • 16.1 - 16.4
Week 9 Nested and Mixed Effects: II Chapter 7.2
  • 12.1-12.5
Week 8 Nested and Mixed Effects: I Chapter 7.1.3
  • 12.1-12.5
Week 7 Random Effects Chapter 7.1
  • 11.1-11.3
  • 11.5
Week 6 Complete Block Designs Chapter 6
  • 13.1-13.2
  • 13.3.1-13.3.3
  • 13.4
Week 5 Factorial Treatment Structure II Chapter 5
  • 9.1
  • 9.2.1 - 9.2.2
  • 9.2.4
  • 10.1
Week 4 Factorial Treatment Structure I Chapter 5
  • 8
Week 3 Specific Differences (Contrasts) Chapter 4
  • 4.1 - 4.3
  • 5.1 - 5.4
Week 2 Completely Randomized Designs Chapter 3
  • 3.1 - 3.8
  • (6)
Week 1 Introduction / General Concepts Chapter 2
  • 1
  • 2.1 - 2.3

Exercise classes

Exercise classes are every two weeks starting on 23/09/2019. The first exercise class will feature an R tutorial. Please install R and RStudio and bring your laptop to the exercise classes, if possible.

Series and solutions

The Series solutions should be handed in by 12:00 (noon) of the designated date. You can submit your solutions by placing them in the ANOVA box in room HG J 68.

Exercises Hand out Hand in Discussion Solution Slides/Notes
R Intro Democode
EasyData (easy.txt) 		- - September 23, 2019 - R Intro Slides
Series 1 September 30, 2019 October 10, 2019 October 7, 2019 Solutions 1
Series 2 October 14, 2019 October 24, 2019 October 21, 2019 Solutions 2
Series 3 October 28, 2019 November 7, 2019 November 4, 2019 Solutions 3
Series 4 November 11, 2019 November 21, 2019 November 18, 2019 Solutions 4 Hints Slides
Series 5 November 25, 2019 December 5, 2019 December 2, 2019 Solutions 5 Remark Exercise 1a
Series 6 December 9, 2019 No hand in December 16, 2019 Solutions 6

Introduction