Midterm Exam #1

100 pts

Midterm Exam #2

100 pts

Homework and Quizzes

100 pts

Final Exam

200 pts

Total

500 pts

due 1/29

Chapter 1, P: 1,2,7,9,12,15*,18,20*,24,26,27,28*
Chapter 1, TE: 2,8,13,14ab* (hand in both parts)

due 2/5

Chapter 1, P: 31
Chapter 2, P: 5,8*,12*,15d,16,18,20,25,28*,33,36,37,39*,41,46,50,52,55

Chapter 2, TE: 6, 9*

due 2/16

Chapter 2, P: 46
Chapter 3,P: 1,7,11,19*,20,21*,22,31*,33,34*,37,41,51, 58,62*,69,70,74,79A
Chapter 3 TE: 5,7a

due 3/1

Chapter 4, P: 2, 4*, 17*, 18, 19, 20, 26, 28, 30, 33, 35*, 40, 43*
Chapter 4, TE: 5*, 6, 10
Chapter 4, STP: 1, 3, 10

due 3/8

Chapter 4, P:  21*, 37, 38, 51, 53, 55*, 58, 63*, 65, 68, 74
Chapter 4, TE: 17b, 25*, 26* (probabilistic interpretation)

due 3/25

Chapter 5, P: 1, 2*, 4*, 7, 11, 14, 15, 20, 22*, 23, 27, 31*, 32*, 37, 39

due 4/5

Chapter 5, P: 25, 29, 33, 40*
Chapter 5, TE: 14, 21, 26, 30
Chapter 6, P: 9*, 14, 18*, 21, 22, 26*, 27, 33*

due 4/19

Chapter 6 P: 45, 49*
Chapter 6 TE: 8, 10*, 14
Chapter 7 P: 3, 9, 12*, 14, 18, 21*, 25, 30*, 31

due 5/3

Chapter 7 P: 26, 34*, 36, 40, 45, 48*, 50
Chapter 7 TE: 13
Chapter 8 P: 1, 2*, 3, 4, 5*, 6, 7, 13, 14*
Chapter 8 TE: 2, 6b, 14

#

Date

Reading

Topics

1

1/22

1.1--1.5

Counting

2

1/26

1.6, 2.1--2.3

More Counting; Axioms of Probability

3

1/29

2.4--2.5

Inclusion/Exclusion; Equally Likely Outcomes

4

2/2

2.5

Examples; Stirling's Formula

5

2/5

3.1--3.3

Conditional Probability; Bayes' Formula

6

2/9

3.4

Independent Events

7

2/12

3.5

Repeated Independent Trials

8

2/16

4.1--4.3, 4.9

Random Variables, Distribution Functions and C.D.F.'s

9

2/19

EXAM 1 --- Sections 1.1--3.5

10

2/23

4.4--4.6

Expectation and Variance of Discrete RV

11

2/26

4.7--4.8

Special Discrete RV's---Bern., Bin., Geom. Distributions

12

3/1

4.8

More Special RV's---Poisson, Neg. Bin., Hypergeom. d.f.'s

13

3/4

5.1, 5.2

Continuous RV's; Expectation and Variance

14

3/8

5.3--5.5

Special Cts RV's---Uniform, Expon., Normal d.f.'s

15

3/11

5.4

Normal Approximation to Binomial RV's

SPRING BREAK 3/13—3/21

16

3/22

5.6, 5.7

Gamma RV's; Functions of a RV

17

3/25

6.1

Several RV's; Joint Distributions

18

3/29

6.2

Independent RV's

19

4/1

6.3

Sums of Independent RV's

20

4/5

7.1, 7.2

Linearity of Expectation

21

4/8

EXAM 2 --- Sections 4.1--6.3

22

4/12

7.3

Covariance and Correlation

23

4/15

6.4, 6.5

Conditional Distributions

24

4/19

7.4

Conditional Expectation

25

4/22

7.6

Moment Generating Functions

26

4/26

8.1, 8.2

Markov and Chebyshev Inequalities; Weak Law of Large Numbers

27

4/29

8.3

Central Limit Theorem

28

5/3

Catch up and review

FINAL EXAM (entire course): May 7, 8:00-11:00 AM; probably ARC 205