Jan 15

Section 0: Introduction

Course Information and Introductory notes

Chapter 1

Examining distributions

Jan 17 and 22

Section 1.1: Displaying distributions with graphs

Notes and graphs for 1.1

Jan 24 and 28

Section 1.2: Describing distributions with numbers

Notes and graphs for 1.2

Jan 31 and Feb 5

Section 1.3: The Normal Distribution

Examples and graphs for 1.3

Feb 7

Section 2.1: Examining relationships: Scatterplots

Examples and graphs for 2.1

Feb 12

Section 2.2: Measuring the strength of linear relationships: Correlation

Examples and graphs for 2.2

Feb 14

Section 2.3: Least Squares Regression

Examples and graphs for 2.3

Feb 19

Section 2.4: Cautions about Correlation and Regression

Examples and graphs for 2.4

Feb 26

Section 3.3: Towards Statistical Inference

Examples and discussion for 3.3

Feb 28

Sampling Distributions

Handout for the in-class activity

Mar 4

Section 4.4: Sampling Distributions and the Central Limit Theorem (CLT)

Examples and discussion for 4.4

Mar 6

Section 4.4: The Central Limit Theorem and the Law of Large Numbers (CLT)

Worksheet discussed in class

Mar 11

Section 6.1: Confidence Intervals

Examples and discussion for 6.1

Mar 27

Section 6.2: Tests of Significance

Examples and discussion for 6.2

Apr 8

Section 6.2: Statistical vs. practical importance

Handout

April 8

Section 7.1: Inference for population means with unknown standard deviation

Examples and discussion for 7.1

April 15

Section 7.1: Inference for population means with unknown standard deviation

Handout and examples

April 17

Section 8.1: Inference for population proportions

Examples and discussion for 8.1

April 24

Section 10.1: Inference for simple linear regression

Examples and discussion for 10.1