Lecture number  Date  Topics  Reading  Assignments  Computer material 
1  5/18  Introduction, grading policies, review  
2  5/18  Introduction to SAS and other software options  SAS Exercise  burgers,
student.csv, intro SAS file, SAS output, R intro code 

3  5/19  Continued review of introductory statistics  
4a, b, c  5/19  Review; linear regression  Ott, sections 11.111.4  review probs 1  cereal
data, cereal SAS file, SAS output, R cereal code 
5  5/20  Simple linear Regression  Ott, 11.111.4  salary
data, salary SAS file, SAS output, R salary code 

6  5/20  Review  rev
1 solutions, chicken data, 

7a,b  5/21  Linear regression topics; Correlation  Ott 11.5  11.7  grasshopper
SAS file, SAS output, R grasshopper code 

5/21  Exam 1  
EA1, 8a, b  5/26  Linear regression topics;
Correlation; Matrix based approach 
Ott 11.5  11.7, 12.9  review probs 2  
9  5/26  Matrix based approach  Ott 12.9  
10a, b  5/27  Multiple regression  Ott, 12.112.4  salary
SAS file2, SAS output, R salary2 code subs SAS file, SAS output, R subs code 

11  5/27  Review  rev 2 solutions, SAS file, cloud data, 

12  5/28  Multiple regression  Ott, 12.112.5  
5/28  Exam 2  
EA2, 13a, b  6/1  Multiple regression  Ott, 12.512.7  
14  6/1  Multiple regression  Ott, 12.512.8  logistic SAS file, SAS output, R logistic code 

15  6/2  Multiple regression/ Building regression models 
Ott, 12.512.8/ 13.113.4 
review probs 3  autos.txt, autos SAS file1, SAS output, R autos1 code 
16  6/2  Building regression models  Ott, 13.113.4  autos SAS file2, SAS output, R autos2 code 

17  6/3  Building regression models  Ott, 13.113.4  model
fitting data, modeling SAS file, SAS output, R modeling code 

18  6/3  Review  rev 3 solutions, SAS file, 13.53 data, 

19  6/4  ANOVA CRp design  Ott, 8.18.4  cuckoo data, cuckoo SAS file, SAS output, R cuckoo code 

6/4  Exam 3  
EA3, 20a, b  6/8  ANOVA CRp design  Ott, 8.38.5  
21  6/8  ANOVA CRp design; Multiple Comparisons 
Ott, 8.58.6, 9.1  review probs 4  KW SAS file, SAS output, R KW code 
22  6/9  Multiple Comparisons  Ott, 9.19.5  
23 a, b  6/9  Multiple Comparisons, General Linear Model approach to ANOVA 
Ott, 9.4, 9.5, 9.8  GLM SAS file, SAS output, R GLM code 

24  6/10  Overview of experimental designs, Factorial Treatment Structure 
Ott, 14.114.3  hot dog data, CRF SAS file, SAS output, R CRF code 

25  6/10  Review  rev 4 solutions, SAS file, ex13.52 data, ex8.29 data, 

26  6/11  Factorial Treatment Structure, Multiple Comparisons 
Ott, 14.3, 14.5  CRF SAS file2, SAS output, 

6/11  Exam 4  
EA4, 27  6/15  Randomized Block Design  Ott, 15.115.2  allergy data, RCB SAS file, SAS output, R RCB code 

28  6/15  R B Design/ Latin Square Design  Ott, 15.215.3  review probs 5  car data, Latin square SAS file, SAS output, R Latin square code 
29  6/16  L S Design/Unbalanced data  Ott, 15.3, 14.4  unbalanced data unbalanced SAS file, SAS output, R unbalanced code 

30  6/16  Power and Sample Size  Ott, 14.6  Power SAS file, SAS output, R power code 

31  6/17  Rand. Block Factorial Expt., Multiple Comparisons 
Ott, 15.4  
32  6/17  Review  rev 5 solutions, SAS file  
33  6/18  Friedman's test  Ott, 15.5  Friedman SAS file, SAS output, R Friedman code 

6/18  Exam 5  
EA5, 34a, b  6/22  Analysis of covariance  Ott, 16.1, 16.2  SAS ancova1 file, SAS output, R Ancova code 

35  6/22  Analysis of covariance  Ott, 16.3 16.5  review probs 6  forbes data, SAS ancova2 file, SAS output, R Ancova2 code 
36a, b  6/23  Random effects models; mixed effect models 
Ott, 17.117.6  SAS random effects, SAS output, R random effects 

37a, b  6/24  Nested designs; Splitplot designs, Repeated measures designs 
Ott, 17.6, 18.24  nested data, SAS nested file, SAS output, R nested code, SAS splitplot, SAS output, R splitplot code SAS rpt measures, SAS output, R rpt measures code 

38  6/24  Review  rev 6 solutions, SAS file  
39  6/25  Chisquare independence tests  Ott, 10.5  SAS chisquare test, SAS output, R chisquare code 

6/25  Exam 6  