Math 330 Probability Theory and Statistics 3 credits
Spring, 2003 MWF 9:00-9:50 NC 105
Dr. Mark Saegrove
MC 525 Ph: 796-3657 Home Ph: 1-608-735-4789
Course Description (from catalog): Theory and application of probability; discrete and continuous variables; the binomial, Poisson, geometric, normal, gamma, and chi-square are examples of distributions studied. Prerequisite: grade of C or higher in 221, and C or higher in 130 or 230.
Objectives: Students will learn basic probability and statistical concepts and theory, and some of their real-world applications. Students will solve numerous assigned problems and present those solutions in writing and/or orally in class.
Text: Probability and Statistical Inference, 6th ed. Hogg and Tanis. Prentice Hall, 2001.
Content: Review of Basic Concepts
Probability
Discrete Distributions
Continuous Distributions
Sampling Distribution Theory
Estimation
Hypothesis Testing
References: Introduction to the Practice of Statistics, 3rd edition. Moore and McCabe. Freeman, 1998.
Your calculus text.
Grading: mid-semester exam 100 points
homework 200 points
in-class presentations 200 points
final exam (cumulative) 100 points
total 600 points
ADA Statement: If you are a person with a disability and require any auxiliary aids, services, or other accommodations for this class, please see me and Wayne Wojciechowski, the Americans with Disabilities Act coordinator (MC320, 796-3085) within ten days to discuss your accommodation needs.