MA 331 Intermediate Statistics

An introduction to statistical inference and to the use of basic statistical tools. Topics include descriptive and inferential statistics; review of point estimation, method of moments, and maximum likelihood; interval estimation and hypothesis testing; simple and multiple linear regression; analysis of variance and design of experiments; and nonparametric methods. Selected topics, such as quality control and time series analysis, may also be included. Statistical software is used throughout the course for exploratory data analysis and statistical inference based in examples and in real data relevant for applications.

Credits

3

Prerequisite

(ENGR 243 or ENGR 241) OR MA 222

Distribution

Pure and Applied Mathematics Program

Typically Offered Periods

Fall Semester Spring Semester