Instructor: 
Roumen
Vesselinov, Ph.D.
Office: 200C LeConte
Email: roumen@sc.edu
Office phone: 7775074
Meeting Times: MW 4:00PM 5:15PM, LC 210A
Office Hours: Mon 1:30pm3:30pm & Wed 2:30pm3:30pm
and
by
appointment
Website: http://www.stat.sc.edu/~vesselin/STAT515.html

Bulletin Description: 
STAT
515 —Statistical Methods I. (3)
(Prereq: a grade of C or higher in MATH 111 or equivalent) Applications
and principles of descriptive statistics, elementary probability,
sampling distributions, estimation, and hypothesis testing. Inferences
for means, variances, proportions, simple linear regression, and
contingency tables. Statistical packages such as SAS. 
Notes: 
 No
previous statistics course is required
 STAT 515
should not be taken if STAT 509 has or will be taken

Purpose of Course: 
To
familiarize students in a variety of fields with modern statistical
methods, including the general areas of data description, elementary
probability, and statistical inference. To prepare the students to
further their study in statistical topics such as quality control,
design of experiments, nonparametrics, time series, and sampling. 
Expectations: 
All students
are expected to:
 Attend
class regularly, asking questions when clarification is needed and
participating in any inclass activities
 Read the
material listed on the board before the next class meeting
 Attempt
all of the assigned homework problems and turn them in at the start of
the class in which they are due
 Use the
resource of their fellow students and their instructor to seek answers
to questions that arise in class, in the readings, and on the homework

Required Text: 
Statistics
(10th Edition), by J.T.McClave and T. Sincich, Prentice Hall, 2006.
Additional materials are on the course website.

Computers
and Calculators: 
This
course will use the software package SAS. You will have an account on
the CSM WindowsNT domain. Currently the computers in LC 124, LC 303A
and PSC 102 have SAS. Student copies of SAS for home use are also
available for purchase from the university's computer service division.
NO PREVIOUS KNOWLEDGE OF SAS IS ASSUMED.
SAS is the de facto standard statistical package in a number of
industries, and experience with SAS is a prerequisite for many jobs in
statistics and in fields that use statistics. While we will only
scratch the surface of SAS's capabilities, it should provide a useful
introduction into the more standard routines, and a jumping off point
for future experience with it.
A basic calculator may be used on the exams.

Exams
and
Topics Covered: 
There
will be three exams and the final. The topics covered in the exams will
generally follow the chapters of the text listed above. However, the
exams may also cover material which was solely presented in class, and
that is not contained in the text.
The first exam will
be held in class. It will
focus on the subjects related to chapters 15 of the text, including:
graphical methods, measures of center and variability, basic rules of
probability, probability distributions, the binomial random variable
and counting rules, the normal distribution, and the normal
approximation of the binomial distribution.
The
second exam will be held in class. It will
focus on the material related to chapters 69, including the central
limit theorem, sampling distributions, and estimation and inference for
one and two populations for means, variances, and proportions.
The
third exam will be held in class. It will
focus on the material related to sections 10.110.2 and chapter 11 of
the text, including oneway analysis of variance and linear regression.
The
final exam will be held in class. It will be
cumulative, covering both the material from the previous three exams
and the material on contingency tables in chapter 13.
Make up exams will be given only in extreme circumstances, and only
when accompanied by appropriate documentation.
Incidence
of cheating and academic dishonesty will be punished to the full extent
allowed by university regulations. 
Homework and Project: 
Homework
is due at the beginning of the class period it was assigned
for.
Late homework is not accepted.
Homework
will be assigned at least one week in advance in class, and will also
be posted on the class website. If the homework is on a handout, that
handout will be available in class and during office hours.
The writing on the homework must be legible, the work used to obtain
the answers must be shown and correct, and the final answers must be
clearly indicated in order to receive full credit.
Extra points
may be deducted for violating any of the following:
 Multiple
pages must be stapled together. No clips.
 Copies of
the SAS code must be included with any homework requiring SAS.
 Extraneous
pages of SAS output should not be turned in.
You MAY work on the homework
assignments with other students, but each student must write it up
individually. (i.e., no photocopies of another student's work.)
There will also be a project
involving collecting
and analyzing a data set using the techniques learned in the course.
The details
of the project will be given later.

Grades: 
The grade is
determined by the scores on the homework, project and
examinations as follows:
Homework  10%
Project  10%
Exam 1  20%
Exam 2  20%
Exam 3 20%
Final exam  20%
with the
letter grade determined by the percentage of points obtained.
Letter

Minimum

Grade

Percent

A

90

B+

87

B

80

C+

77

C

70

D+

67

D

60

F

<60

Any questions
involving the grading of a homework assignment or exam must be raised
by the class period following the one in which it was returned.
The homework with the lowest
grade will be dropped from the
calculations.
There is no "extra credit".
Any deviations from the above grading scheme will be to the benefit of
the students. 
Graduate
Credit: 
Students
taking the course for graduate credit will be required to complete
extra homework problems throughout the semester as a portion of their
homework grade. 
Complaints
and
Comments: 
While
there are end of semester evaluation forms, they come far too late to
resolve any difficulties experienced in the class. All complaints
should be raised by either speaking with me directly, or by anonymously
leaving a message in my mailbox in 216 LeConte. 