STA 551 - Introduction to Probability and Mathematical Statistics I
Fall 2005
 

Instructor: Dr. Scott Richter

Office: Bryan 389
Hours: TTh - 9:30-11:30; 2:00-3:30; 
           Other times by appointment. 
          

Phone: 256-1123 

email: sjricht2@uncg.edu 

web page: www.uncg.edu/~sjricht2              

 

About the course
STA 551 is the first course of a two-semester sequence providing an axiomatic introduction to probability and mathematical statistics. Topics include basic properties of probability, Bayes theorem, discrete and continuous random variables including binomial, hypergeometric, negative binomial, Poisson, uniform, gamma and normal distributions, moment and probability generating functions and multivariate distributions. After completing the course, students will: 1) understand the meaning of probability as a measure of uncertainty, and understand basic properties of probabilities; 2) be able to use probability distributions to describe random variables and solve problems; 3) be able to describe the sampling distribution of the mean of a random sample and compute associated probabilities; 4) have the necessary foundation to study statistical inference (STA 552).

Prerequisite: A grade of at least "C" in MAT 293 (Calculus III). At a minimum, students should have a good working knowledge of differentiation and integration of polynomial, exponential and logarithmic functions.

We will use the text: John E. Freund’s Mathematical Statistics with Applications, 7th edition, by Miller & Miller, and will cover most of the material in Chapters 1 through 8.

 


Assignments and class participation
Practice 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. These 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 (ideally each student will present about four times during the semester) number of solutions throughout the semester. Additional exercises will also be assigned as “Assignments” and are to be submitted to be graded. The exercises and due dates for these Assignments will be announced throughout the semester.

 

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 may be submitted at the beginning of the next class meeting. The tentative test dates are:
 

Test 1

September 20

Test 2

November 1

Test 3

December 13 (8:00)


 

 

Determination of course grade

Test 1: 20% of course grade
Test 2: 20% of course grade
Test 3: 20% of course grade
Class Participation: 10% of course grade
Assignments: 30% of course grade (each weighted equally)

Grading scale

 

Undergraduates

Graduates

90 or above

A

A

80-89

B

B

70-79

C

C

60-69

D

F

below 60

F

F

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