COURSE OUTLINE

Approximate Lecture and Reading Schedule
All readings come from the textbook


Date

Lecture Topic

Assigned Reading

Event

September 29

Introduction

Chapter 3.1 - 3.3

 

October 2

Experiments and Observational Studies

Chapter 3.1 - 3.3

 

October 4

Summarizing Data Graphically

Chapter 1.1

 

October 6

Summarizing Data Numerically

Chapter 1.2

Homework 1 DUE

October 9

Summarizing Data Numerically

Chapter 1.2

 

October 11

Populations

Chapters 3.4 and 4.1

 

October 13

Probability

Chapter 4.2

Lab 1 DUE

October 16

Random Variables

Chapter 4.3

 

October 18

The Normal Distribution

Chapter 1.3

 

October 20

Review

 

Homework 2 DUE and Lab 2 DUE

October 23

Midterm I

 

Midterm I

October 25

Other Distributions

Chapter 4.3

 

October 27

Means and Estimates of Means (same as the next lecture)

Chapter 4.4

Homework 3 DUE

Lab 3 DUE

October 30

Variances of Random Variables

Chapter 4.4

 

November 1

Estimating Proportions

Chapter 5.1

 

November 3

Estimating Means

Chapter 5.2

Lab 4 DUE and Homework 4 DUE

November 6

Confidence Intervals

Chapter 6.1

 

November 8

Introduction to Hypothesis Testing

Chapter 6.2

 

November 10

Holiday

 

 

November 13

Z tests and caution

Chapter 6.2 and 6.3

 

November 15

t tests and caution

Chapter 7.1

 

November 17

Review

 

Homework 5 DUE and Lab 5 DUE

November 20

Midterm II

 

Midterm II

November 22

Correlation

Chapter 2.1 - 2.2

 

November 24

Holiday

 

 

November 27

Regression

Chapter 2.3

 

November 29

Regression

Chapter 2.4

 

December 1

Simiple Linear Regression

Chapter 10.1

Homework 6 DUE

December 4

Multiple Regression

Chapter 11

 

December 6 & 8

Review

 

Lab 6 DUE

December 11

Final Exam 11:30am-2:30pm