DEPARTMENT OF STATISTICAL SCIENCE

DUKE UNIVERSITY

Tentative Syllabus

Schedule

Computing labs

Final Project

TAs' office hours

Additional learning tools

Major/minor in statistics

Statistics at Duke

Elizabeth's web page

Blackboard
 

Statistics 101: Spring 2011
Data Analysis and Statistical Inference

with Elizabeth Mannshardt-Shamseldin

In this course, we learn about the principles of data analysis using statistics, with primary emphases on developing critical thinking skills and performing analyses on real data sets. After completing this course, students will able to design and analyze basic statistical studies, to understand and criticize statistical methods in journals and the media, and to appreciate the power and utility of statistical thinking.  Examples and methods are drawn primarily from the behavioral, natural, and social sciences and public policy. 

The course will cover the following topics: 

• Survey and experimental design

• Exploratory data analysis

• Correlation and linear regression 

• Laws of probability 

• Confidence intervals and significance tests 

• Bayesian perspective in statistical inference 

This web site describes the course in detail.