Fall 2014
Stat 512: Analysis of Designed Experiments
Schedule:
Pre-requisites:
Instructor:
Office:
Phone:
e-mail:
Office Hours:
MW 1:10-2:00 pm Todd 307, F 1-3 Hulbert 5
Stat 360/412 or Permission by Instructor
Nairanjana (Jan) Dasgupta
Neill 403
335-3736
dasgupta@wsu.edu
Th 2-4, W 2-3
Introduction to Statistical Methods and Data Analysis, 6th ed. by R. Lyman Ott and Michael
Longnecker, Brooks/Cole 2010. [we shall cover from Ch 14-ch19].
Website: http://www.math.wsu.edu/faculty/ndasgupta/resources/ follow links to 512
Text:
Projected schedule for topics in the class
Date (approximate)
1. Aug 25-29
2. Sept 2-5
3. Sep 8-12
4. Sep 15-19
5. Sep 22-26
6. Sept 29-Oct 3
7. Oct 6-10
8. Oct 13-17
9. Oct 20-24
10. Oct 27-31
11. Nov 3-7
12.
13.
14.
15.
16.
17.
Nov 10-14
Nov 17-21
Nov 24-29
Dec 1-5
Dec 8-12
Dec 17 (3-5pm)
Topic
Introductions and review
Review (continued)
CRD hypothesis testing and estimation
Planned and multiple comparisons
Factorial treatment structure
Fixed, Random, Mixed Models
CRD, Analysis,
Interpretation
CRD
Mid-term exam (Oct 10)
Blocked Design
Discuss exam
RCBD
ANCOVA
Crossed & Nested in Fixed, Random,
and Mixed Models
Split-plot Design
Repeated Measures
Thanksgiving Break
Unbalanced design
Review
Final Exam
Section in text
Read Ch1-2
Notes and Ch 8
Ch 8,
Ch 9
17.1-17.3
17.4-17.6
14.1-14.4
14.5-14.9
15.1-15.8
16.1-16.6
17.1-17.4
17.6-17.8
18.1-18.2
18.3-18.7
Ch 19
Notes
This is a tentative schedule in terms of order. Topics can added and shifted as the lectures flow.
Evaluation:
Homework
Conceptual exercises*
Mid-term exam
Final exam
25%
25%
25%
25%
* Conceptual exercises are intended to more closely connect the design and analysis principles of the course to
your field of study. Among other things, you may be asked to review journal articles in your field for
appropriate statistical content, to design research studies to illustrate specific types of statistical designs, to
collect and analyze real data, and to analyze data selected by me. Solutions to conceptual exercises must be
typed.
A (93%-100%); A- (90%-93%); B+ (87%-90%); B (83%-87%) B- (80%-83%); C+ (77%-80%); C (73%-77%); C(70%-73%) D+ (66%-70%); D (60%-66%); F(0%-60%)
No late assignments will be accepted.
Student Learning Outcomes:
Student Learning Outcomes for this
course:
At the end of this course, students
should be able to:
What is a designed study?
Course Topics/Dates
The following
topic(s)/dates(s) will
address this outcome:
This will be covered in
Week 1-8.
Diagnostics : Assumptions and how
we check them
Will be covered in Week 3-4
Different Designs
Will be covered from Week
7 onwards to the end of
class
From week 1 to week 16this
will be the underlying
deliverable of this class
Be able to independently analyze
data and synthesize results
Evaluation of Outcome:
This outcome will be evaluated
primarily by:
Homework assignments and
midterm exam and written
projects
Homework assignments and
midterm exam and written
projects
Homework assignments and
written projects as well as both
midterm and final exam
Independent projects and final
exam.
Attendance Policy: I require attendance for my classes and if you have an excused reason why you
missed class you are responsible for making up the work.
Academic Etiquette: I encourage interaction during class. All class participants are to be treated with respect,
courtesy and your full attention.
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WSU Reasonable Accommodation Statement
“Students with Disabilities: Reasonable accommodations are available for students with a
documented disability. If you have a disability and need accommodations to fully participate in this
class, please either visit or call the Access Center (Washington Building 217; 509-335-3417) to
schedule an appointment with an Access Advisor. All accommodations MUST be approved through
the Access Center. For more information contact a Disability Specialist on your home campus:
Pullman or WSU Online: 509-335-3417
http://accesscenter.wsu.edu, Access.Center@wsu.edu
http://gradschool.wsu.edu/FacultyStaff/Committee/
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and integrity of the academic work you submit. You may collaborate with classmates on assignments,
with the instructor's permission. However the guiding principle of academic integrity shall be that
your submitted work, examinations, reports, and projects must be your own work. Any student who
violates the University's standard of conduct relating to academic integrity will be referred to the
Office of Student Conduct and may fail the assignment or the course. You can learn more about
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http://conduct.wsu.edu/academic-integrity-policies-and-resources. Please use these resources to
ensure that you don’t inadvertently violate WSU's standard of conduct. Also please be familiar with
the GSC requirements for graduate students http://gradschool.wsu.edu/FacultyStaff/Committee/
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