Course Description: The use of probability models
and statistical methods for analyzing data has become common practice in
virtually all scientific disciplines. This course provides a comprehensive
introduction to those models and methods most likely to be encountered and
used by students in their careers in engineering and the natural
sciences.
Course Objectives: Upon successful completion of this
course, students should understand the role statistics plays in
summarizing, reporting and rigorously establishing research findings;
develop an appreciation for probabilistic and statistical reasoning; read
texts, periodicals, and research journals with a greater understanding of
statistical information presented; improve and refine problem solving
skills, demonstrate a familiarity with using statistical features
associated with various computing packages.
Course Outline by Topical Areas:
- basic concepts and rules of probability,
- random variables,
- probability distributions,
- expectation and variance,
- sampling and sampling distributions,
- statistical inference - estimation and tests of hypothesis,
correlation and regression
- analysis of variance
