Class Schedule


The following is the intended class schedule and the topics that will tentatively will be covered every class, including the videos and textbook sections. The videos are also available from the course’s D2L website. All the topics marked in RED are OPTIONAL .

 

Session

Date

Slides/Activity

Videos

Text pages

0

Jan 13

Introduction

 

vii-x

1

Jan 18

Displaying Data 1

Displaying Data 2

A1part1 part2 part3

A2part1 part2 part3

3-19

2

Jan 20

Describing Distributions with Numbers 1

Describing Distributions with Numbers 2

B1part1 part2

B2part1 part2

21-32

3

Jan 25

Correlation and Regression 1

Correlation and Regression 2

C1part1 part2

C2part1 part2 part3

33-40

4

Jan 27

Correlation and Regression 3

Correlation and Regression 4

C3part1 part2

C4part1 part2

41-50

5

Feb 1

Producing Data 1

Producing Data 2

D1part1 part2

D2part1 part2 part3

63-76

6

Feb 3

Basics of Probability 1

Basics of Probability 2

E1part1 part2 part3

E2part1 part2 part3

79-94

7

Feb 8

Conditional Probability and Independence 1

Conditional Probability and Independence 2

F1part1 part2 part3

F2part1 part2 part3

95-107

8

Feb 10

Random Variables and Distribution Functions 1

Random Variables and Distribution Functions 2

G1part1 part2 part3

G2part1 part2

109-119

9

Feb 15

Random Variables and Distribution Functions 3

The Expected Value 1

G3part1 part2 part3

H1part1 part2 part3

120-130

135-138

10

Feb 17

The Expected Value 2

The Expected Value 3

H2part1 part2 part3

H3part1 part2 part3

139-154

11

Feb 22

Examples of Mass Functions and Densities 1

Examples of Mass Functions and Densities 2

I1part1 part2

I2part1 part2 part3

155-175

12

Feb 24

Law of Large Numbers 1

Law of Large Numbers 2

J1part1 part2

J2part1 part2

177-189

---

Mar 1

Review



---

Mar 3

Exam 1



13

Mar 15

Central Limit Theorem 1

Central Limit Theorem 2

K1part1 part2 part3

K2part1 part2 part3

191-209

14

Mar 17

Overview of Estimation 1

Overview of Estimation 2

Method of Moments 1

L1part1 part2

L2part1 part2 part3

M1part1 part2

213-216

216-227

229-233

15

Mar 22

Method of Moments 2

Unbiased Estimation 1

M2part1 part2 

N1part1 part2 part3

234-238

239-243

16

Mar 24

Unbiased Estimation 2

Maximum Likelihood Estimation 1

N2part1 part2 part3

O1part1 part2

243-257

259-260

17

Mar 29

Maximum Likelihood Estimation 2

Maximum Likelihood Estimation 3

Interval Estimation 1

O2part1 part2 part3

O3part1 part2

P1part1 part2 part3

261-262

263-278

279-285

18

Mar 31

Interval Estimation 2

Interval Estimation 3

Simple Hypotheses 1

P2part1 part2 

P3part1 part2

Q1part1 part2 part3

286-293

293-298

301-305

19

Apr 5

Simple Hypotheses 2

Simple Hypotheses 3

Composite Hypotheses 1

Q2part1 part2 part3

Q3part1 part2 part3

R1part1 part2 part3

306-313

314-320

321-324

20

Apr 7

Composite Hypotheses 2

Extensions on the Likelihood Ratio 1

R2part1 part2 part3
S1part1 part2 part3

325-337

339-343

21

Apr 12

Extensions on the Likelihood Ratio 2
Extensions on the Likelihood Ratio 3

S2part1 part2 part3

S3part1 part2

343-346

346-358

---

Apr 14

Review

 

 

---

Apr 19

Exam 2

 

 

23

Apr 21

t Procedures 1

t Procedures 2

T1part1 part2 part3

T2part1 part2 part3

359-362

363-381

24

Apr 26

Goodness of Fit 1

Goodness of Fit 2

U1part1 part2 part3

U2part1 part2 part3

383-389

390-399

25

Apr 28

Analysis of Variance 1

Analysis of Variance 2

V1part1 part2 part3

V2part1 part2

401-406

406-414

---

May 3

 

 

---

May 5


 

 

---

May 9

FINAL EXAM

3:30 PM - 5:30 PM 

 (Notice that this is on a MONDAY)