HIMT 350: Statistics for Healthcare

This is an introductory course in statistical methods for the health sciences. The course will emphasize the principles of statistical reasoning, underlying assumptions, hypothesis testing, and careful interpretation of results. Some topics covered: major study designs, descriptive statistics, graphical displays of data, probability, confidence intervals and tests for means, differences of means, sample size and power, differences of proportions, chi-square tests for categorical variables, regression, multiple regression, and non-parametric statistics.

Prerequisite(s): College algebra or equivalent

HIMT 350 course syllabus

Semesters Offered: Fall 2022, Spring 2023, Summer 2022

Credits: 3

Degree Level: Bachelor's

Course Track: Core Courses