Instructor:  Teaching Assistant:  Teaching Assistant:  
Sanvesh Srivastava  Shahryar Minhas  Ksenia Kyzyurova  
Email:  ss602 at stat.duke.edu  shahryar dot minhas at duke.edu  ksenia at stat.duke.edu  
Office:  Old Chemistry building 211A  Old Chemistry building 211A  Old Chemistry building 211A  
Office Hour:  Tuesdays 2:453:45pm  Wednesdays 1:30pm2:30pm  Wednesdays 4:006:00pm 











Date  Lecture Slides  Chapter 
Aug 26  Introduction to probability Lecture 1  1.11.4 
Aug 28  Conditional probability Lecture 2  1.51.9 and 2.12.3 
Sep 2  Random Variables and distributions Lecture 3  3.13.3 
Sep 4  Random Variables and distributions Lecture 4  3.43.7 
Sep 9  Random Variables and distributions Lecture 5  3.83.9 
Sep 11  Expectation Lecture 6  4.14.4 
Sep 16  Expectation Lecture 7  4.54.7 
Sep 18  Special Distributions Lecture 8  5.15.5 
Sep 23  Special Distributions Lecture 9  5.65.10 
Sep 25  Special Distributions We will finish Lecture 9 today and maybe start Lecture 10  56 
Sep 30  Law of Large Numbers and the Central Limit Theorem We will pick up where we left of in Lecture 10 (same lecture as above)  6.16.3 
Oct 2  Estimation Lecture 11  7.17.2 
Oct 7  Estimation Lecture 12  7.37.4 
Oct 9  Estimation Lecture 13  7.57.7 
Oct 14  Fall Break  No Class 
Oct 16  Sampling Distributions Lecture 14  8.18.4 
Oct 21  Review Template Midterm  17 
Oct 23  Midterm  17 
Oct 28  Sampling Distributions Lecture 15  8.5 
Oct 30  Sampling Distributions Lecture 16  8.6 
Nov 4  Sampling Distributions Lecture 17  8.7 
Nov 6  Hypothesis Testing Lecture 18  9.1 
Nov 11  Hypothesis Testing Lecture 19  9.1 
Nov 13  Hypothesis Testing Lecture 20  9.5  9.7 
Nov 25  Review Review Final Review  19 
Nov 27  Thanksgiving  No class 