COURSE OUTLINE

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

Date

Topic

Assigned Reading

September 26

Introduction and Data

Chapter 1 & 2

September 29

Graphical Summaries

Chapter 3 & 4

October  1

Numerical Summaries

Chapter 5

October  3

Numerical Summaries

Chapter 5

October  6

The Normal Curve

Chapter 6

October  8

The Normal Curve

Chapter 6

October 10 (HW #1 Due)

Understanding Randomness

Chapter 11

October 13

Sample Surveys

Chapter 12

October 15

Experiments

Chapter 13

October 17 (HW #2 Due)

Randomness & Probability

Chapter 14

October 20

Review

 

October 22

PROGRESS EXAM 1

EXAM 1

October 24

Probability Rules

Chapter 15

October 27

Random Variables

Chapter 16

October 29

Random Variables

Chapter 16

October 31  (HW #3 Due)

Sampling Distributions

Chapter 18

November 3

Confidence Intervals

Chapter 19

November 5

Testing Hypotheses

Chapter 20

November 7

More on Hypothesis Tests

Chapter 21

November 10

Comparing Two Proportions

Chapter 22

November 12

Making Inferences with Means

Chapter 23

November 14 (HW #4 Due)

Review

 

November 17 

PROGRESS EXAM 2

EXAM 2

November 19

Association & Correlation

Chapter 7

November 21

Linear Regression

Chapter 8

November 24 (HW #5 Due)

Regression Wisdom

Chapter 9

November 28

HOLIDAY

HOLIDAY

December 1

Re-Expressing Data

Chapter 10

December 3 and 5

Review Sessions

 

December 10  (HW #6 Due) (WEDNESDAY)

FINAL 8:00am-11:00am

Have a good winter break!