This course is aimed at students in applied fields and assumes a prerequisite of calculus. The goal is a working knowledge of the concepts and uses of modern probability theory. A significant part of such a "working knowledge" in modern applications of mathematics is computer-dependent. The course contains mathematical problems and computer exercises. Students will be expected to write and...
This course is an introduction to applied statistics and data analysis providing lecture notes and exams. Topics include collecting and exploring data, basic inference, simple and multiple linear regression, analysis of variance, nonparametric methods, and statistical computing.
This section of ARTIST contains suggestions for implementing student journals, writing assignments, and minute papers in statistics classes. Links to general references for writing assessments are included.
This site describes and explains the use of students projects and their assessment capabilities and purposes. It lists a few student projects by authors and also scoring rubrics and samples of students work.