SDS 302: Data Analysis for the Health Sciences
Department of Statistics & Data Sciences Fall 2015
Instructor:
Email:
Office Hours:
Office:
Kristin Harvey
Kharvey@utexas.edu
See Canvas
GDC 7.504
Website:
https://canvas.utexas.edu
TA information and office hours on Canvas
COURSE DESCRIPTION
This course is designed to help you learn the basics of data analysis, including the descriptive and inferential statistical procedures that are commonly used in health science research. You will learn techniques for graphing and describing data; explore common function patterns including linear, logarithmic, exponential and logistic functions; be introduced to correlation and linear regression; learn the basic principles of hypothesis testing and the inferences that can be drawn from them; and develop skills necessary for evaluating the conditional probability of health-related events. This course may be used to fulfill the mathematics component of the university core curriculum and addresses the following three core objectives established by the Texas Higher Education Coordinating Board: communication skills, critical thinking skills, and empirical and quantitative skills. This course carries the Quantitative Reasoning flag. Quantitative Reasoning courses are designed to equip you with skills that are necessary for understanding the types of quantitative arguments you will regularly encounter in your adult and professional life. You should therefore expect a substantial portion of your grade to come from your use of quantitative skills to analyze real-world problems.
COURSE LEARNING OBJECTIVES
The lectures, labs and assignments in this course are designed to help you meet three course objectives:
1) learn the basics of data analysis, including the statistical methods commonly used in the health sciences.
2) learn how to apply an analytical framework to data analysis problems and report your findings.
3) learn how to analyze...