Close Menu
View Course Sections

Course Description

Biostatistical analysis provides the means to identify and verify patterns in this data and to interpret the findings in a public health context. In this course, students will learn the basic steps in analyzing public health data, from initial study design to exploratory data analysis to inferential statistics. Topics include descriptive statistics, hypothesis testing, confidence intervals, correlation, chi-square distributions, simple and multiple linear and logistic regression, analysis of variance and covariance, and ethical issues in data analysis and interpretation. Statistical software will be used to analyze data and build models for estimation and prediction.

Basic Enrollment Requirements: Unofficial Transcript – High School Degree, Bachelor’s Degree, or progress towards a Bachelor’s Degree + 3.0 GPA.

Pre-requisites: Students should have completed CH 0031 or equivalent coursework.

Instructor Approval: Not Required.

Remission Eligible: Yes; first day of term; all university policies apply.

Refund Policy: Course Policy 1

Affiliated With:

School of Arts & Sciences