ARCHIVE OF EXPERIMENTAL DESIGN COURSE PLS205 (Winter 2015)

 Jorge Dubcovsky

 

Lectures *

Labs **

Assignments

Introduction to the course and review of fundamental statistical concepts

Reading [Word] [PDF]  Lecture Notes: [Word] [PDF]      Z table, t table, F tables, X2 table

Review:  [Variance of Linear Functions]

Discussion 1 Jan. 6 (PPT)

 

HW Tips

Topic 1:  Introduction to the principles of experimental design

Reading:  [Word]  [PDF]

Lecture Notes:  [Word] [PDF]

Lab 1 (Word) (PDF)

Lab 1 R (Word) ** T1

HW 1-2 (Word) (PDF)

KEY (Word) (PDF)

Topic 2:  Distributions, hypothesis testing, and sample size determination

Reading:  [Word]  [PDF]

Lecture Notes:  [Word] [PDF]                                          

Review:  [T TESTS in SAS] Interesting reading:  Paper Fisheries & Type II error

Discussion 2 Jan. 13 (PPT)

 

Topic 3:  Fundamentals of Analysis of Variance (ANOVA)  (Due: HW 1-2)

Reading:  [Word]  [PDF]

Lecture Notes:  [Word] [PDF]

[Appendix: Powercharts] [Misc: Fisher quote]

Lab 2 (Word) (PDF)

 

Lab 2 R (Word) T2a b

HW 3 (Word) (PDF) 

KEY (Word) (PDF)

Topic 4:  Orthogonal Contrasts

Reading:  [Word]  [PDF]

Lecture Notes:  [Word] [PDF]

[Appendix: Table of Trend Coefficients]

Discussion 3 Jan. 20 (PPT)

Jan 19 (holiday)

 

Topic 5:  Means separations  (Due: HW 3)

Reading:  [Word]  [PDF]

Lecture Notes:  [Word] [PDF] [False discovery rates FDR]                                                                                              [Additional Tables: dunnett’s t, q w, Duncan’s q]

Lab 3 (Word) (PDF)

 

Lab 3 R (Word) T3a b c

HW 4-5 (Word) (PDF) 

KEY (Word) (PDF)

Topic 6:  Randomized Complete Block Design (RCBD)

Reading:  [Word]  [PDF]

Lecture Notes:  [Word] [PDF]                                    [RCBD Power analysis  Word  PDF]

Discussion 4

Jan. 27 (PPT)

 

Topic 7:  Latin Squares  (Due: HW 4-5)

Reading:  [Word]  [PDF]

Lecture Notes:  [Word] [PDF]             [Appendix  Useful Latin Squares]

                                              In Class Quiz [Questions available here] KEY (Word)

Lab 4 (Word) (PDF)

 

Lab 4 R (Word) T4a b c

HW 6–7 (Word)(PDF) 

KEY (Word) (PDF)

Topic 8:  Data Transformation 

Reading:  [Word]  [PDF]

Lecture Notes:  [Word] [PDF]

Discussion 5 (PDF)

 

Topic 9:  Introduction to Factorial Experiments  (Due: HW 6-7)

Reading:  [Word]  [PDF]

Lecture Notes 1st part:  [Word] [PDF]                     [Interpreting Interactions  Word  PDF]

Lab 5 (Word) (PDF)

 

Lab 5 R (Word) T5a b

HW 8 (Word) (PDF)

KEY (Word) (PDF)

Topic 9:  Factorial Experiments (Continued)  (Due: HW 8)

Lecture Notes 2nd part:  [Word] [PDF]

Discussion 6 (PDF)

 

Integration of previous techniques and review session

Lecture Notes:  [Word] [PDF]             Midterm [take-home, up through Transformation]

                                     

Lab 6 (Word) (PDF) 

 

Lab 6 R (Word) T6a b c

Midterm (Word) (PDF) 

KEY (Word) (PDF)

Topic 10:  ANOVA Models for Random and Mixed Effects (Due: Midterm, 9 am at lecture)

Reading:  [Word]  [PDF]

Lecture Notes:  [Word] [PDF]

 

Discussion 7 (PDF)

Feb 17 (holiday)

HW 9 (Word) (PDF)

KEY (Word) (PDF)

Topic 11:  Unbalanced designs 

Reading:  [Word]  [PDF]

Lecture Notes:  [Word] [PDF]

Lab 7 (Word) (PDF)

 

Lab 7, 8& 9 R (Word)

T7a b c d

HW 10-11 (Word) (PDF)

KEY (Word) (PDF)

Topic 12:  Split-plot designs  (Due: HW 9)

Reading:  [Word]  [PDF]

Lecture Notes:  [Word] [PDF] Tu & Thr

Discussion 8 (PDF)

 

Topic 12:  Repeated measures  (Due: HW 10-11)

Reading:  [Word]  [PDF]

Lab 8 (Word) (PDF)

HW 12 (Word) (PDF)

KEY (Word) (PDF)

Topic 13:  Introduction to Analysis of Covariance (ANCOVA) 

Reading:  [Word]  [PDF]

Lecture Notes:  [Word] [PDF] Tu & Thr

Discussion 9 (PDF)

 

Topic 13:  ANCOVA (Continued)  (Due: HW 12)

 

Lab 9 (Word) (PDF)

ANCOVA  (Word)

HW 13 (Word) (PDF)

KEY (Word) (PDF)

Review session I  (Due: HW 13)

Lecture Notes:  [Word] [PDF]

Discussion 10 (PDF) if necessary

 

Review session II

For the interested:  [Introduction to Nonparametric Methods]

[SAS introduction to nonparametric analysis]

 

Final (Word) (PDF)

KEY (Word) (PDF)

* Lecture notes developed by Jorge Dubcovsky and improved by Iago Lowe. ** R labs developed by Dario Cantu

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Last updated:  January 5 2015