STAT 514: Experimental Design (Syllabus)
Times and Location
| ||Day ||Time ||Location|
|Lecture ||TuTh ||1:30-2:45pm||REC 114|
| ||Day ||Time ||Location|
|Instructor ||Monday ||8:00am-9:00am||MATH 208|
Software Help Session
|SAS||W ||6:30 -- 8:30pm ||BRNG B286 |
- All course material (lecture notes, sample examples, homework assignment) will be posted
on Blackboard Learning.
STAT 511 or equivalent introductory course that covers probability distributions, sampling distributions, mean, variance,
confidence interval, hypothesis testing, Z-test, t-test, two-sample paired t-test, two sample independent
t-test, one-way ANOVA and simple regression.
Course Objectives and Prerequisites
To be able to plan an experiment in such a way that the statistical analysis results in valid and objective conclusions. To learn a variety of experimental
designs and be able to choose an appropriate design for a specific experiment. To be able to
perform the proper statistical analysis and draw valid statistical conclusions from a specific experiment.
- Simple Designs and Analysis of Variance
- Block Designs, Latin Squares and Related Designs
- Full Factorial Designs
- Designs with Random Factors and Nested Designs
- 2-level Full Factorial and Fractional Factorial Designs
- Strongly recommended textbook: "Design and Analysis of Experiements"(6th, 7th or 8th ed.) by Douglas C. Montgomery.
- Recommended textbook: "An Introduction to Statistical Methods and Data Analysis"(5th or 6th ed.), by R. Lyman Ott and Michael Longnecker.
- There are approximately 10 homework assignments. The schedules of the midterms and final will be announced later on.
Every homework assignment will be posted on Blackboard at least one week before the due time.
- Late homework will not be accepted unless you have a documented emergent situation. Homework solutions will be posted on Blackboard.
Group discussions and study sessions are encouraged but copying from each other is unacceptable.
Clearly print your Name and Session Number in the cover page of your homework.
This class will be based on using SAS 8 (and 9) to perform data analysis.
The intent of using software is to allow the computer to perform routine calculations
and graphing, while we focus on choosing the appropriate analysis tools and interpreting the
results. Computer software is NOT a substitute for understanding the statistical methods,
and you will not have access to a computer during exams. SAS is available in the Purdue
computing labs. You may also obtain a copy of SAS for your own PC for class purposes free
of charge by showing your student ID at ITaP offce (STEW G31). Or you may choose to use Purdue Software Remote.
you can go to the Software Consultant in MATH G-175 (information)
except during breaks or the Wednesday evening SAS help session: Wed 6:30 to 8:30 PM in BRNG B286 except during school holidays.
- There will be two midterm exams and one final exam.
- Each exam is cumulative, but emphasizes recently covered material.
- You will need a basic calculator that has the square root function. More advanced calculators are permitted only if you do not use the advanced functionality.
- Dates, time and location:
- Midterm Exam 1: Sep 26
- Midterm Exam 2: Oct 31
- Final Exam: TBD
- Total scores are computed using the following weights:
- 20% -- Homework
- 20% -- Midterm I
- 20% -- Midterm II
- 40% -- Final
- The above proportions may be adjusted by up to 5% in either direction at the instructor's discretion but will be
the same for every student in the class.
- Course grades are assigned by total scores using the following scale:
| 90% || ≤ || score || ≤ || 100% || ⇒ || A |
| 80% || ≤ || score || < || 90% || ⇒ || B |
| 70% || ≤ || score || < || 80% || ⇒ || C |
| 60% || ≤ || score || < || 70% || ⇒ || D |
| 0% || ≤ || score || < || 60% || ⇒ || F |
During the last two weeks of the semester, you will be provided with an opportunity to evaluate this course and your instructor(s).
- Please refer to University Regulations
for the requirment of attendance, Grief Absence Policy and Absences resulting due to participation in religious observances.
- Exams: To be excused the student must notify his or her instructor in writing
prior to the date of absence if such notification is feasible.
In cases where advance notification is not
feasible (e.g. accident, or emergency) the student must provide notification by
the end of the second working day after the absence. This notification should
include an explanation of why notice could not be sent prior to the class. If
needed, the student must provide additional documentation substantiating the
at the scheduled time you must notify the instructor as soon as possible.
Missed exams will be a given zero points except for a Excused
Absence. In that case, the instructor (at his discretion) may either administer a
makeup exam or use the final exam grade to compensate for the missed exam.
- Incomplete Grade: A grade of incomplete is a record of work that was interrupted
by unavoidable absence or other causes beyond a student's control, which work was passing
at the time it was interrupted and the completion of which does not require the student to
repeat the course in order to obtain credit. The incomplete grade is not to be used as a substitute for a failing grade.
Class attendance is an important part of your success in the class. The
syllabus, homework assignments, exam dates, etc. may be changed by in-class
announcements. If you are absent, please check with a classmate regarding the
lecture material and announcements.
Statement on Disabilities
The Americans with Disabilities Act (ADA) is a federal anti-discrimination
statute that provides comprehensive civil rights protection for persons with
disabilities. Among other things, this legislation requires that all students
with disabilities be guaranteed a learning environment that provides for
reasonable accommodation for their disabilities.
If you are a student registered with the Disability Resource Center and
you are in need of academic accommodations, please see me during my office hours
listed on the syllabus as soon as possible.
If you have an Accommodation Letter from the Disability Resource Center,
we need to meet during my office hours to discuss your needs.
Statement on Plagiarism
The handouts used in this course are copyrighted. By "handouts," I mean all
materials generated for this class, which include but are not limited to
syllabi, quizzes, exams, lab problems, in-class materials, review sheets, and
additional problem sets. Because these materials are copyrighted, you do not
have the right to copy the handouts, unless I expressly grant permission. As
commonly defined, plagiarism consists of passing off as one's own ideas, words,
writing, etc., which belong to another. In accordance with this definition, you
are committing plagiarism if you copy the work of another person and turn it in
as your own, even if you should have the permission of that person. Plagiarism
is one of the worst academic sins, for the plagiarist destroys the trust among
colleagues without which research cannot be safely communicated.
Academic Integrity Statement:
Purdue prohibits "dishonesty in connection with any University activity. Cheating, plagiarism,
r knowingly furnishing false information to the University are examples of dishonesty." [Part 5, Section III-B-2-a,
Furthermore, the University Senate has stipulated that "the commitment of acts of cheating, lying, and deceit in any of their diverse forms
(such as the use of substitutes for taking examinations, the use of illegal cribs, plagiarism, and copying during examinations)
is dishonest and must not be tolerated. Moreover, knowingly to aid and abet, directly or indirectly, other parties in committing
dishonest acts is in itself dishonest." [University Senate Document 72-18, December 15, 1972]