COURSE OUTLINE

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

Date

Topic

Assigned Reading

April 1

Introduction, Experiments

Chapter 1

April 3

Observational Studies

Chapter 2

April 5

Sample Surveys

Chapter 19

April 8

Graphics, Histograms

Chapter 3.1 - 3.5

April 10

Numerical Summaries

Chapter 4.1-4.3

April 12 (HW #1 Due)

Numerical Summaries

Chapter 4.5-4.7

April 15

The Normal Curve

Chapter 5.1-5.3

April 17

Percentiles, Transformations

Chapter 5.4-5.6

April  19

Review

 

April 22 

PROGRESS EXAM 1

EXAM 1

April 24

Chance Error

Chapter 6.1-6.4

April 26 (HW #2 Due)

Random Processes & Box Models

Chapter 16

April 29

Expected Values

Chapter 17.1 - 17.3

May 1

Expected Values

Chapter 17.4 - 17.6

May 3  (HW #3 Due)

The Normal Approximation

Chapter 18

May 6

Proportions

Chapter 20.1 - 20.3

May 8

Confidence Intervals

Chapter 21.1 - 21.4

May 10

Confidence Intervals

Chapter 21.1 - 21.4

May 13

The Accuracy of Averages

Chapter 23.1 - 23.4

May 15

Review

 

May 17  (HW #4 Due)

PROGRESS EXAM 2

EXAM 2

May 20

Hypothesis Testing

Chapter 26.1-26.4

May 22

Hypothesis Testing

Chapter 26.1-26.4

May 24 (HW #5 Due)

Correlation

Chapter 8

May 27

HOLIDAY

HOLIDAY

May 29

Correlation

Chapter 9

May 31

Regression

Chapter 10.1-10.3

June 3

Regression

Chapter 12.1

June 5 & 7(HW #6 Due)

Review Sessions

 

June 10  (MONDAY)

FINAL 6:30PM -- 9:30PM

Have a good summer!