A survey of statistical methods that introduces experimental
design and analysis of variance; multiple linear regression;
analysis of categorical data, including chi-squared tests of
independence and goodness-of-fit; non-parametric tests, including
tests based on resampling; and statistical power. Emphasizes
precise statistical communication and implementation using
statistical software.
Athena Title
Statistical Methods
Equivalent Courses
Not open to students with credit in STAT 4210H
Prerequisite
STAT 2000 or STAT 2000E or STAT 2100H or BUSN 3000 or BUSN 3000E or BUSN 3000H
Semester Course Offered
Offered fall, spring and summer
Grading System
A - F (Traditional)
Student Learning Outcomes
Students will evaluate potential study designs to select one that provides adequate statistical power and supports the intended scope of the study’s conclusions.
Students will use statistical software to calculate summary statistics, construct graphs, and fit models that can be used to make predictions and quantify explained and unexplained variability.
Students will use multivariable models to describe the relationship between variables of interest while controlling for potential confounding variables and nuisance variables that increase variability.
Students will assess model fit and select a final model that accounts for important data features (e.g., interaction between variables, non-linear relationships).
Students will use the statistical problem-solving process as a framework to evaluate alignment between the research question, data collection, analysis methods, and conclusions.
Topical Outline
A survey of statistical methods that introduces experimental design and analysis of variance
multiple linear regression
analysis of categorical data, including chi-squared tests of independence and goodness-of-fit
non-parametric tests, including tests based on resampling
statistical power
The course emphasizes precise statistical communication and implementation using statistical software.
