ETH :: D-MATH :: Applied Analysis of Variance and Experimental Design

Beginning of lecture: Monday, 21/09/2015. (Exercises start on 21/9/2015 at 15:15 in room HG E 1.1, with a special introduction to the "R" software)

Exercises: Details about the exercises can be found here

Doctoral students: Attaining the exam is required for doctoral students in order to obtain credit points.

Objective

At the end of his course you will be able to design an experimental study, carry out an appropriate statistical analysis of the data and properly interpret and communicate the results.

Notice: Former course title: "Angewandte Varianzanalyse und Versuchsplanung" / "Applied Analysis of Variance and Design of Experiments"

Exam (for regular students)

Performance assessment information	Official Information from course catalogue
General information	You can expect (see examples below) 3 "regular" exercises 2 multiple choice exercises
Old Exams	Last two exams Winter 2015 Summer 2015 Please note different lecturer contains topics that we did not discuss (crossover designs, fractional factorials, many calculations by hand, ...) was: open book / now: closed book (see conditions in myStudies) but: it should give you an idea about the length of the exam
New Exam	Some modified exercises from above exams can be found here. This PDF will give you an idea about the style, not the length of the exam! Compared to the old exams you can expect that the questions about fractional factorials will be replaced by something about random effects, mixed effects and/or split plot models.
Will the exam be on the computer?	No, it will be 'on paper'. Nevertheless, there will be R-related questions like interpreting R output selecting the right command for formulating a model (of a list of commands) etc.
More questions?	Please ask!

Material

Week	Topic	Book Chapters
Week 13 [14.12.2015]	Power Slides R: Power Simulation (updated) Overview Slide	7.1 7.3
Week 12 [7.12.2015]	Two-Series Factorials Slides R: Cement	15.1-15.1.3
Week 11 [30.11.2015]	Incomplete Block Designs Slides R: Disconnected (corrected typo in contrast) \| Misc \| Dishes \| Lithium	14.1 - 14.2
Week 10 [23.11.2015]	Split Plot Designs Slides R: oats \| wetlands	16.1 - 16.4
Week 9 [16.11.2015]	Nested and Mixed Effects: II Slides R: ergoStool \| machines \| cheese	12.1-12.5
Week 8 [9.11.2015]	Nested and Mixed Effects: I Slides R: Nested Design (updated)	12.1-12.5
Week 7 [2.11.2015]	Random Effects Slides R: Genetics Study \| Machine Performance Blackboard: anova command in R \| interpretation sum of squares	11.1-11.3 11.5
Week 6 [26.10.2015]	Complete Block Designs Slides R: Nitrogen example	13.1-13.2 13.3.1-13.3.3 13.4
Week 5 [19.10.2015]	Factorial Treatment Structure II Slides Blackboard: Sum of Squares \| Transformations R: Limpets example \| Single Replicates \| Factorials and Contrasts \| Unbalanced Data	9.1 9.2.1 - 9.2.2 9.2.4 10.1
Week 4 [12.10.2015]	Factorial Treatment Structure I Slides (Page 14 & 15 had alpha & beta mixed up) R: Two-way ANOVA in R	8
Week 3 [05.10.2015]	Specific Differences Slides: Specific Differences (updated Slides 8 - 11) R: Contrasts and multiple comparisons	4.1 - 4.3 5.1 - 5.4
Week 2 [28.09.2015]	Completely Randomized Designs Slides: CRD R: Meat Storage \| Cell Means \| F-distribution Link: Illustration cell means model	3.1 - 6.8 (6)
Week 1 [21.09.2015]	Introduction / General Concepts Slides: Intro (updated slide 52/53)	1 2.1 - 2.3

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