Math 382 (Probability and Statistics)

Syllabus
My schedule
Homework list
R examples



Lecture Notes:   382 book limited time only!
Week M W F
1 - 2.1-2.2   Hw1 2.3, 2.4 Probability rules   Hw2
2 2.5 Combinatorics   Hw3 2.6 Conditional   2.6 Conditional/Independence   Hw4
3 2.7 Bayes rule   Hw5 3.1 Discrete   Hw6 3.2 Expected values   Hw7
4 3.3-3.4 Binomial   Hw8 3.5 Geometric   Hw9 3.6 Negative Binomial   Quiz on 3.1-3.4 key
5 3.7 Poisson   Hw10 3.8 Hypergeometric   Hw11 3.9 MGF Hw12
6 Practice Exam 1   key Exam 1 key 4.1 Continuous RVs   Hw13
7 4.2 Expected values   Hw14 4.3 Uniform 4.4 Exponential   Hw15 4.5 Gamma   Hw16
8 4.6 Normal     Quiz on 4.1-4.4   key 4.6 Normal cont'd   Hw17 4.7 Weibull
9     B   R   E   A   K    
10 4.8 MGF   Hw18 5.1 Joint distributions   no class
11 5.2-5.3 Conditional and independence   Hw19   Quiz on 4.6 5.4 Covariance   Hw20 5.4 cont'd  
12 6.2 CDF method   Hw21   Quiz on 5.1-5.4 Quizzes 3 and 4 key 6.3 Transform method   Hw22 6.4 CLT   Hw23
13 Ch.7 Descriptive Stats   Hw24   Ch.7 cont'd 8.2 Confidence Intervals   Hw25
14 8.3 Hypothesis testing Hw26 Review for Exam 2 practice test   key Exam 2   key
15 8.4 T-tests   Hw27   8.5 Two-sample   Hw28 8.5 cont'd
16 8.6 Proportion   Hw29   Quiz on 8.2-8.5   key Ch.9 Regression   Hw30 Final Review   practice test


Extra credit: give feedback about the book. The more specific you are, the more valuable your comments are. For example: "section X.Y needs more examples (of such-and-such kind) ... Example Z.T is not clearly explained... "
Maintained by Oleg Makhnin (olegm att nmt edu)