COURSE OUTLINE

Approximate Lecture and Reading Schedule. All readings come from the textbook

Date

Topic

Assigned Reading

September 27

Introduction, Experiments

Chapter 1

September 30

Observational Studies

Chapter 2

October  2

Sample Surveys

Chapter 19

October  4

Graphics, Histograms

Chapter 3.1 - 3.5

October  7

Numerical Summaries

Chapter 4.1-4.3

October  9

Numerical Summaries

Chapter 4.5-4.7

October 11(HW #1 Due)

The Normal Curve

Chapter 5.1-5.3

October 14

Percentiles, Transformations

Chapter 5.4-5.6

October 16

Chance Error

Chapter 6.1-6.4

October 18 (HW #2 Due)

Review

 

October 21

PROGRESS EXAM 1

EXAM 1

October 23

Random Processes & Box Models

Chapter 16

October 25

Expected Values

Chapter 17.1 - 17.3

October 28

Expected Values

Chapter 17.4 - 17.6

October 30 

The Normal Approximation

Chapter 18

November 1 (HW #3 Due)

Proportions

Chapter 20.1 - 20.3

November 4

Confidence Intervals

Chapter 21.1 - 21.4

November 6

Confidence Intervals

Chapter 21.1 - 21.4

November 8

The Accuracy of Averages

Chapter 23.1 - 23.4

November 11

HOLIDAY

HOLIDAY

November 13

Review

 

November 15 (HW #4 Due)

PROGRESS EXAM 2

EXAM 2

November 18

Hypothesis Testing

Chapter 26.1-26.4

November 20

Hypothesis Testing

Chapter 26.1-26.4

November 22 (HW #5 Due)

Correlation

Chapters 8 and 9

November 25

Regression

Chapter 10.1-10.3

November 29

HOLIDAY

HOLIDAY

December 2

Regression

Chapter 12.1

December 4 and 6 (HW #6 Due)

Review Sessions

 

December 12  (THURSDAY)

FINAL 8:00am-11:00am

Have a good winter break!