Fall 2000
Statistics 515 - Statistical Methods I
Monday/Wednesday/Friday 11:15-12:05
210A LeConte

Instructor: Brian Habing, Assistant Professor
office: 203 LeConte
e-mail: habing@stat.sc.edu
office phone: 777-3578
home phone: 739-2686 (9am to 10pm only)
Course Website: http://www.stat.sc.edu/~habing/courses/515F00.html
Office Hours:Whenever the door is open, by appointment, and
Tuesday/Thursday 9:00-10:30
Wednesday/Friday 2:30-4:00
Prerequisite:A grade of C or higher in MATH 111 (Basic College Mathematics - College Algebra) or STAT 201 (Elementary Statistics) or a course equivalent to either.
NO PREVIOUS STATISTICS COURSE REQUIRED
Credit: 3 hours (undergraduate or graduate). Note that the deadline for dropping the course without failing is Thursday, October 5th.
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.
Required Text: A First Course in Statistics (7th Edition), by J.T.McClave and T. Sincich, Prentice Hall, 2000.

The readings associated with each class will be listed on the board at the beginning of class. After the class, it is the students' responsibility to read over the listed pages and to seek clarification on any difficulties they find. (Either stop by during office hours, send an e-mail, or ask before or after the next class.)

Computers: This course will use the software package SAS. You will have an account on the CSM Windows-NT domain. Currently the computers in LC 303A have SAS, and the PSC lab will have it early in the semester.

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 which 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.

Homework: Homework is due at the beginning of the class period it was assigned for. Late homework is not accepted.

There will be at least 17 homework assignments. Only the top 15 scores will be counted towards the final grade in the class. Each homework assignment will be worth three points. 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, the final answers must be clearly indicated, and all expository answers should be grammatically correct in order to receive full credit.

Extra points may be deducted for violating any of the following:

  • Write on one side of the paper only.

  • 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.)

Any questions about the grading of a problem on the homework must be made by the class period following the one in which it was returned.

There will also be a project involving collecting and analyzing a data set using the techniques learned in the course. It will be worth 25 points, and the details will be given out on Friday, September 29. The project will be due on Wednesday December 6.

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 below. 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 on Wednesday, September 27th. It will focus on the subjects related to chapters 1 through 4 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 central limit theorem.

The second exam will be held in class on Wednesday, November 1st. It will focus on the material related to section 4.8, chapters 5 and 6, and sections 7.1, 7.2, and 8.1 of the text, including estimation and inference for one and two populations.

The third exam will be held in class on Wednesday, November 29th. It will focus on the material related to section 7.6 and chapter 9 of the text, including one-way analysis of variance and linear regression.

The final exam will be held at 2:00pm on Tuesday, December 12th. It It will be cumulative, covering both the material from the previous three exams, as well as the material in sections 8.3-8.4.

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.

Any questions concerning a grade received on an exam must be raised by the next class period after it was returned.

Grades: The grade is determined by the scores on the homework and the three examinations as follows:

Homework45 points
Project25 points
Exam 1 75 points
Exam 2 75 points
Exam 3 75 points
Final Exam75 points

with the letter grade determined by the percentage of points obtained out of the maximum possible 370, rounding the percentages up.
LetterMinimum
GradePercent
A90
B+87
B80
C+77
C70
D+67
D60
F0

If the score on the final exam is higher than the lowest exam score, it may be counted in the place of that exam score for the determination of that grade.

There is no "extra credit".

Any deviations from the above grading scheme will be to the benefit of the students.

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.