The primary course material will be the lecture notes for each lecture.

Other Text References

Dekking, F. M., C. Kraaikamp, et al. A Modern Introduction to Probability and Statistics: Understanding Why and How (Springer Texts in Statistics). Springer, 2007. ISBN: 9781852338961.

DeGroot, Morris H., Mark J. Schervish. Probability and Statistics. 3rd ed. Addison Wesley, 2002. ISBN: 9780201524888

Rice, John A. Mathematical Statistics and Data Analysis. 3rd ed. Duxbury Press, 2006. ISBN: 9780534399429.

Rosner, Bernard. Fundamentals of Biostatistics. 6th ed. Duxbury Press, 2005. ISBN: 9780534418205.

Pawitan, Yudi. In All Likelihood: Statistical Modeling and Inference Using Likelihood. Oxford University Press, 2013. ISBN: 9780199671229. [Preview with Google Books]

Wallisch, Pascal, Michael E. Lusignan, et al. MATLAB® for Neuroscientists: An Introduction to Scientific Computing in MATLAB. Academic Press, 2008. ISBN: 9780123745514. (eBook ISBN: 9780080923284)

Supplemental Materials

Hypothesis Testing Summary (PDF)

MATLAB tutorial by Camilo Lamus, 2010 (PDF)

Standard Normal Cumulative Probability Table (PDF)

Course Info

Learning Resource Types

notes Lecture Notes
assignment Problem Sets