HOME PAGE OF STAT 3115/5315

Analysis of Experiments

Fall 2009


Joseph Glaz

joseph.glaz@uconn.edux
(click on link and remove end x)

Office: CLAS 329
Phone
: (860) 486 4193

Office Hours
: T, Th 3:30 - 4:30 and by appointment

Class Meeting Times/Place

Tuesday, Thursday 2:00 - 3:15. Classroom  CLAS 344

Course Information

Syllabus 1 and Exam 1 Information
Syllabus 2 and Exam 2 Information

Course Description and Grading Policy

Computer Teaching Lab Hours - CLAS 340 

Tutoring Hours - CLAS 325


Lecture Notes

Handout 1
Handout 2
Handout 3
Handout 3 Residual Plots
Handout 4
Handout 5
Handout 6

Handout 7
Handout 8
Handout 9
Handout 10
Handout 11
Handout 12
Handout 13

Handout 14
Handout 15
Handout 16
Handout 17
Handout 18


Data Sets

Handout 14


Problems for Homework Chapter 5

Homework 1

Homework 2 part 2


Handouts for Homework Solutions

Homework Solutions 1 and  2
Homework Solutions 3
Homework Solutions 4
Homework Solutions 5
Homework Solutions 6
HomeworkSolutions 7
Homework Solutions 8
Homework Solutions 9
Homework Solutions 10
Homework Solutions 11
Homework Solutions 12
Homework Solutions 13 and 14

Exam 2: Remarks on the Solutions

SAS file No 1
SAS file No 2
SAS file No 3
SAS file No 4
SAS file No 5
SAS file No 6
SAS file No 7
SAS file No 8
SAS file No 9
SAS file No 10
SAS file No 11
SAS Highway Safety
SAS Antique Clocks 1
SAS Antique Clocks 2
SAS Antique Clocks 3
SAS Antique Clocks 4
SAS Antique Clocks 5
SAS Antique Clocks (Pred. Interv. Model 1)
SAS Antique Clocks (Pred. Interv. Model 2)
SAS Math Salary (Partial  corr.)
SAS Zarthan Data 1 (confounding and interaction)
SAS Zarthan Data 2 (confounding and interaction)
SAS Zarthan Data 3 (confounding and interaction)
SAS Restaurant Data 1 (Indicator variables)
SAS Restaurant Data 2 (Indicator variables)
SAS Restaurant Data 3 (Simultaneous testing)
SAS Substance Abuse Data 1 (ANACOVA)
SAS Substance Abuse Data 2
SAS Evolution Data 1 (ANACOVA)
SAS Evolution Data 2
SAS Evolution Data 3
SAS Evolution Data 4
SAS Evolution Data 5
SAS Math Salary Data (PROC RSQUARE)
SAS Math Salary Data (PROC RSQUARE)
SAS Math Salary Data (PROC MAXR)
SAS Math Salary Data (PROC B F and STEPWISE)


Academic Integrity

A fundamental tenet of all educational institutions is academic honesty; academic work depends upon respect for and acknowledgement of the research and ideas of others. Misrepresenting someone else's work as one's own is a serious offense in any academic setting and it will not be condoned. Academic misconduct includes, but is not limited to, providing or receiving assistance in a manner not authorized by the instructor in the creation of work to be submitted for academic evaluation (e.g. papers, projects, and examinations); any attempt to influence improperly (e.g. bribery, threats)any member of the faculty, staff, or administration of the University in any matter pertaining to academics or research; presenting, as one's own,the ideas or words of another for academic evaluation; doing unauthorized academic work for which another person will receive credit or be evaluated; and presenting the same or substantially the same papers or projects in two or more courses without the explicit permission of the instructors involved. A student who knowingly assists another student in committing an act of academic misconduct shall be equally accountable for the violation, and shall be subject to the sanctions and other remedies described in The Student Code.

Support Services

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This page is maintained by Joseph Glaz                   
Last modified: August 24, 2009