Lecture Schedule

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 11.1-11.4 review probs 1 cereal data,
cereal SAS file,
SAS output,
  R cereal code
5 5/20 Simple linear Regression Ott, 11.1-11.4   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, 12.1-12.4   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, 12.1-12.5    
  5/28 Exam 2      
EA2, 13a, b 6/1 Multiple regression Ott, 12.5-12.7    
14 6/1 Multiple regression Ott, 12.5-12.8   logistic SAS file,
SAS output,
R logistic code
 15 6/2 Multiple regression/
Building regression models		 Ott, 12.5-12.8/
13.1-13.4		 review probs 3 autos.txt,
autos SAS file1,
SAS output,
R autos1 code
16 6/2 Building regression models Ott, 13.1-13.4   autos SAS file2,
SAS output,
R autos2 code
17 6/3 Building regression models Ott, 13.1-13.4   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 CR-p design Ott, 8.1-8.4   cuckoo data,
cuckoo SAS file,
SAS output,
R cuckoo code
  6/4 Exam 3      
EA3, 20a, b 6/8 ANOVA CR-p design Ott, 8.3-8.5    
21 6/8 ANOVA CR-p design;
Multiple Comparisons		 Ott, 8.5-8.6, 9.1 review probs 4 KW SAS file,
SAS output,
R KW code
22 6/9 Multiple Comparisons Ott, 9.1-9.5    
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, 14.1-14.3   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, 15.1-15.2   allergy data,
RCB SAS file,
SAS output,
R RCB code
28 6/15 R B Design/ Latin Square Design Ott, 15.2-15.3 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, 17.1-17.6   SAS random effects,
SAS output,
R random effects
37a, b 6/24 Nested designs;
Split-plot designs,
Repeated measures designs		 Ott, 17.6, 18.2-4   nested data,
SAS nested file,
SAS output,
R nested code,
SAS split-plot,
SAS output,
R split-plot code
SAS rpt measures,
SAS output,
R rpt measures code
38 6/24 Review   rev 6 solutions, SAS file  
39 6/25 Chi-square independence tests Ott, 10.5   SAS chi-square test,
SAS output,
R chi-square code
  6/25 Exam 6