Statistical Methods

This course provides an introduction to probability and statistical methods.

Part of the objective of this course is to introduce you to data analysis with a help of a statistical software. This can be any software or programming language of your choice - from Excel, to Matlab, to R, to Stata, to SPSS, to SAS, to C or C++, or even Ruby. If you do not have any background computing knowledge, email me. We will help you get familiar with a statistical program enough to solve homework problems. Please check our software page on a regular basis for tips.

 

Required text:

"Probability and Statistics for Engineering and the Sciences", by J. Devore. (Note: old editions can be used.)

Grading policy:

Homework (6): 30%
 Midterms (2):  30%
 Final:  30%
 Course Participation:  10%

Midterm 1:  Mon, Feb 18, in class. Closed book. One single-sided formula sheet allowed. BRING A CALCULATOR!

Midterm 2:  Wed, Mar 20, in class. Closed book. One single-sided formula sheet allowed. BRING A CALCULATOR!

Final Exam:  Sat, May 4, 7:30-10pm. Room TBA. This is a cumulative final exam. Closed book. One formula sheet (double sided) allowed. BRING A CALCULATOR!