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