STAT 331 - Introduction to Analysis of Variance

Units: 3
Analysis of variance with emphasis on design and analysis of experiments. Use of data from social sciences, science, and business. Factorial designs, random effects, nesting. Optional topics: incomplete blocks, missing data, analysis of covariance. Use of statistical software. Report writing.

Prerequisites: STAT 316 or STAT 330.
Possible Instructional Methods: Entirely On-ground.
Grading: A-F or CR/NC (student choice).
Course Typically Offered: Fall & Spring

Student Learning Outcomes - Upon successful completion of this course students will be able to:

acquire data using methods of design of experiments, analyze these data using appropriate software, and to interpret results covering descriptive statistics, data visualization, hypothesis testing, confidence intervals, modeling and error analysis.
communicate to others results involving descriptive statistics and data visualization, hypothesis testing, confidence intervals, modeling and error analysis.