STA 352 - Statistical Inference

Spring 2004
 

Instructor: Scott Richter

Office: Bryan 389 Hours: T/Th- 8:30-9:30; 2:00-3:30 (or any time the door is open.) Other times by appointment.

Phone: 256-1123 email: sjricht2@uncg.edu  web page: www.uncg.edu/~sjricht2

Students are encouraged to come by anytime to ask questions or talk about the course or any related (or perhaps unrelated) topics.
 

About the course
STA 352 is the second course of a two-semester sequence covering basic 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 351 or permission of instructor.

We will use the text: Probability and Statistical Inference, 6th edition by Hogg & Tanis, and will cover material in Chapters 6 through 9.

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.
 

Tests
Tests will be administered periodically throughout the term. All tests will be cumulative. The tentative test dates are:
 

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 Mean of all Projects: 40% 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

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.