A technique-oriented approach to data analysis using statistical techniques. Graphical and numerical summaries of data, multivariable thinking, confidence interval estimation, regression and correlation, testing hypotheses including chi-square tests and one-way analysis of variance. A statistical software package will provide computational assistance. Fulfills Foundations - Mathematical Sciences. Offered every semester. Prerequisite: MTH 108 and MTH 109 (or MTH 110) or equivalent.
Fall 2024 - Hybrid Winter 2025 - Online
Project-oriented introduction to major statistical techniques using a statistical package such as SAS or SPSS. Hypothesis testing, t-test, multivariate regression, analysis of variance, analysis of covariance, chi-square tests, and nonparametric statistics. Offered every semester. Prerequisite: STA 215 or STA 312.
Fall 2024 - Hybrid Winter 2025 - Hybrid
An introduction to applications and the conceptual framework for predictive analytics and modeling, using a statistical programming language such as R. Topics include preparing data for predictive modeling, exploratory data analysis and visualizations, multiple linear regression, logistic regression for classification, and methods for model selection and evaluation. Offered winter semester. Prerequisite: STA 215 or STA 312.
Winter 2025 - Online
An examination of statistics reported in the media. Students will read news stories and published research to critically evaluate the conclusions made, recognizing when assertions are and are not supported by evidence. Common fallacies and misconceptions will be covered. Part of the Information, Innovation, or Technology Issue. Offered fall and winter semesters. Prerequisites: One of STA 215, or STA 220, or STA 312; and junior standing.
Fall 2024 - Online Winter 2025 - Online
Internship in a statistical situation with individual faculty supervision to allow students to apply academic knowledge to actual and professional experiences. Offered fall and winter semesters. Prerequisites: Junior standing and permission of the instructor. Graded credit/no-credit.
Fall 2024 - Online
Independent research in an area of interest to the students, supervised by a member of the statistics faculty. Hours, credits, topics, and time to be arranged by the student in conference with professor. Approval of the department required. Offered fall and winter semesters.
Project-oriented overview of major statistical techniques commonly used in problems encountered in health professions. Students will learn to use a major statistical computing package. Hypothesis testing, t-tests, regression, analysis of variance, analysis of covariance, categorical data analysis, nonparametric statistics. Offered fall, winter, and spring/summer semesters.
Independent research in an area of statistics or biostatistics that is of interest to the student and the supervising faculty member. Readings and discussions may be appropriate. Hours, credits, meeting times, and the topic(s) in statistics or biostatistics are determined by the student and faculty mentor. Offered fall and winter semesters. Prerequisites: Departmental approval is required.