STA 552 - Introduction to Mathematical Statistics
Spring 2004
 

Instructor: Dr. Scott Richter
Office: Bryan 389
Hours: TTh - 8:30-9:30; 2:00-3:30; 
           or by appointment. 
           MWF - By appointment.
         *Feel free to drop in any time the 
           door is open.
Phone: 256-1123 
email: sjricht2@uncg.edu 
web page: www.uncg.edu/~sjricht2 
Students are encouraged to contact me frequently to ask questions or talk about the course or any related (or perhaps unrelated) topics.
 

About the course
STA 552 is the second course of a two-semester sequence covering concepts of probability and mathematical statistics. Topics include sampling distributions, central limit theorem, discrete approximations, properties of estimators, confidence intervals for means, proportions and variances, sample size for estimation, significance tests for means and proportions, power and sample size for testing, simple linear regression, analysis of contingency tables. After completing the course, students will understand the theory and practice of point and interval estimation, significance testing, and simple linear regression.

Prerequisite: A grade of at least "C" in STA 551. Students should be be familiar with multivariate differentiation and integration. For graduate students, a previous mathematics course involving proofs is helpful.

We will use the text: Probability and Statistical Inference, 6th edition by Hogg & Tanis, and will cover material in Chapters 6 through 9. We will also use excerpts from the text Mathematical Statistics with Applications, 5th edition, by Wackerly/Mendenhall/Schaeffer. (ISBN: 0534209165). This edition can generally be purchased online for less than $20. Alternatively, I can make copies of the relevent sections available to any student who do not wish to purchase the text.


Assignments and class participation
Exercises from the text and supplementary materials will be assigned regularly. These are designed to provide practice and to help synthesize readings, class discussions, and lectures. The exercises will not be collected, but periodically students will be asked to present solutions to selected exercises. The class participation grade will be based on, 1) the quality of the presented solutions; and 2) presenting the required number of solutions throughout the semester. "Additional" exercises, which are those assigned only to STA 552 students, are to be submitted to be graded. Graduate students will have further additional exercises that will also be collected and graded.
 

Tests
Tests will be administered periodically throughout the term. All tests will be cumulative in the sense that students will be expected to apply previous concepts in answering questions about more recent material. Most of the test questions will be completed during the class time designated for the test, but some will be submitted at the beginning of the next class meeting. The tentative test dates are:
 

Test 1 February 19
Test 2 April 8
Test 3 May 6 (8:00)

 

Projects
Finally, several projects will be assigned, collected and graded. These will consist of more in-depth exercises, applied problems, and computer assignments.
 

Determination of course grade
 
Test 1: 15% of course grade
Test 2: 15% of course grade
Test 3: 20% of course grade
(STA 551: Each test is weighted 70% in-class, 30% take-home)
Mean of all Projects: 30% of course grade (each weighted equally)
Assignments: 10% of course grade
Class participation: 10% of course grade
Grading scale
90 or above A
80-89 B
70-79 C
60-69 D
below 60 F

Graduate students will be expected to demonstrate a deeper understanding of concepts and methods, and will be required to complete additional exercises on projects and tests.
 

Academic Integrity
Students are encouraged to discuss solutions to assignments, but each student is expected to write-up his or her solutions independently. Copying other people's work is plagiarism and is an Honor Code violation. You are responsible for
knowing and abiding by the UNCG Honor Code.
 

Disabilities
If you have a documented disability and wish to discuss academic accommodations, please contact me as soon as possible.