STAT 211
FALL 2003
Principles of Statistics I
Introduction to probability and probability distributions; sampling and descriptive measures; inference and
hypothesis testing; linear regression, analysis of variance. Prerequisite: MATH 152, 161, 172
Time and Place: MWF 10:20 – 11:10 am PSYC 106 (Section 501)
MWF 12:40 – 1:30 pm BLOC 165 (Section 502)
MWF 1:50 – 2:40 pm BLOC 165 (Section 503)
Instructor:
Derya Akleman, Ph.D.
Office: Blocker 405A
email: akleman@tamu.edu
Webpage: http://stat.tamu.edu/~derya/stat211/fall03.html
Phone number:845-3141 (Statistics Department Office, Blocker Building 447)
Office hours: MWF 11:20 am – 12:20 pm or just after class
It is your responsibility to keep track of the WEB postings and office hours. If you
cannot talk to me before or after the class, you will have to go and ask your questions to the graders.
Grader:
Kyounghwa Bae (Sections 501), Office hours: TR 11:30 – 2:00 pm
Email: kbae@stat.tamu.edu Office: Bloc 406E
Li Bo (Section 502), office hours: 9:00 – 11:30 am
Email: boli@stat.tamu.edu Office: Bloc 408
Lei Jin (Section 503), Office hours: TR 2:00 – 4:00 pm and R 4 - 5 pm
Email: ljin@stat.tamu.edu Office: Bloc 408
Text:
Probability and Statistics for Engineering and the Sciences, 6 th Edition by Jay L. Devore.
Lectures:
Attendance will not be taken. It is your responsibility to keep track of the class. You will
have to check the WEB before coming to the class for announcements. If you attend the class, you will
have to turn your phone off and stop talking to your friends when the class time comes. I will use the
handouts on the web for lectures.
Grading:
The grades will be weighted as follows:
Homework
Quiz
Exams (5 exams)
15%
5%
80%
(due date of every homework is the following Friday)
(unannounced, at the end of every handout)
The exam dates are 9/17/03, 10/8/03, 10/31/03, 11/19/03, 12/5/03. Mark the exam dates on your calendar.
These dates will not be changed. None of the exams will be given any other day or time. The lowest quiz
and the lowest homework grade will be dropped. No Final exam.
 If the student has taken all 5 exams, the lowest exam grade will be dropped.
 If the student missed one exam with an accepted university excused absence, the average of the
other 4 exams will be the grade for the missed exam. The lowest grade of 5 exams will be
dropped.
 If the student missed one exam without an accepted university excused absence, the missed exam
grade will be zero. The lowest exam grade will not be dropped.
The grading system is as follows:
Below 59.5
F
[59.5,69.5)
D
[69.5,79.5)
C
[79.5,89.5)
B
89.5 and above A
50 minutes exams will have 20 multiple choice questions with no partial credit. It is your responsibility to
bring gray (blue, Texas A&M) scantron and working calculator to each exam.
I will provide the
tables/formulas for you.
You will have to check all your grades on WEBCT when they are posted. You only have the week that
they are posted to question either your homework or exam grade. Any excuses or discussions will not be
accepted after.
At the end of the semester, your class grade will be computed as above and it will not be rounded up.
There will be no extra assignments on the personal basis. The same treatment will be applied to every
student. Do not ask for the special treatment for yourself.
Handouts: They will be posted on the course homepage regularly as a WORD file. If you print them
before the class time and bring it with you to the class, it will help you to follow the lectures. Your
textbook demonstrates the same information. The textbook is very good and I highly suggest you to
practice the examples there.
Policy Regarding Makeup Exams, homeworks or quizes: One day doctor visits or appointments are not
accepted as university excused absence. If you have a serious illness, doctor should indicate on the letter
the dates you will be absent in class. No Makeup Exams. Plan on being there.
Missing one exam and consequences are written under grading.
If you miss more than one exam with an accepted University Excused Absence, I will give you a
cumulative make up exam at the end of the semester before the finals at the day I set up.
You must notify me before the exam you may be missing to be eligible for the university excused
absence conditions. If you fail to notify me before the exam time, your exam grade will be zero and it will
be considered as a missed exam without a University Excused Absence.
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 believe you have a disability requiring an
accommodation, please contact the Office of Support Services for Students with Disabilities in Room 126 of the Koldus Student
Services Building. The phone number is 845-1637
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. If you have any questions regarding plagiarism, please consult the latest
issue of the Texas A&M University Student Rules, under the section "Scholastic Dishonesty."
Course Outline
Topic
Chapter
Introduction and Descriptive Statistics
Probability
Discrete and continuous random Variables and Probability Distributions
Joint Probability distributions and Random Samples
Point Estimation
Statistical Intervals and tests of hypotheses based on a single sample
Inferences Based on Two Samples
1
2
3,4
5
6
7,8
9
The Analysis of Variance, Simple Linear Regression and Correlation
10,12