STAT 3225: Statistical Methods for Biological and Health Sciences

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Course Format Lecture 3.0 h + Seminar 0.0 h + Lab. 1.0 h
Credits 4.0

Course Description

Students learn how to use statistical methods for analyzing data from the biological and health sciences. The programming language R and R Commander is used for statistical computing including data manipulation, data analysis and graphical display of data. Topics covered in this course include: observational and experimental studies, parametric and nonparametric statistical methods, analysis of contingency tables, analysis of variance, multiple linear regression, and logistic regression. Students are required to complete a term data analysis project using statistical methods and software presented in this course.

Priority registration in this course is offered to students admitted to the Bachelor of Science in Bioinformatics.

Prerequisite(s): A minimum "C-" grade in STAT 1181 and 2281.

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