Syllabus

Schedule of assignments

Computing labs

Statistical Education Center

ISDS (Stats at Duke)

Major and minor in stats

Stats outside ISDS

Statistics applets

Professor Leman's web page

Blackboard
 

In this course, we learn about the basic laws of probability, statistical inference, and the principles of data analysis.  After completing this course, students will able to design and analyze basic statistical studies, and to understand and criticize statistical methods in journals and the media.  Students will leave this course with the background needed to study econometrics and financial statistics, and to learn about more advanced analyses in the natural and social sciences.  Examples and methods are drawn from economics, public policy, and the natural and social sciences.

The course will cover the following topics: 

• Survey and experimental design
• Exploratory data analysis
• Correlation and linear regression 
• Calculus-based probability, expectations, variances, covariances, linear combinations 
• Confidence intervals and significance tests 
• Bayesian perspective in statistical inference 
  

This web site describes the course in detail.