Click on the text like “Week 1: Jan 22 – 25” to expand or collapse the items we covered in that week.

I will fill in more detail and provide links to lecture notes and labs as we go along. Items for future dates are tentative and subject to change.

• Introduction; review of topics from our intro. statistics course; getting started with R

#### Wed, Jan 23

• In class, we will work on: Introduction and Chapter 1
• Discuss the syllabus; course overview.
• Foundations of statistical inference; Chapter 1 of the Statistical Sleuth. pdf
• After class, please do the following:

#### Fri, Jan 25

• In class, we will work on: Chapter 1
• Finish lab/example from day 1; a first look at R
• Look over quizzes on material from Chapter 1
• If you have extra time, start working through the data camp assignment
• After class, please do the following:
• Homework 0 is on DataCamp, due Wed Jan 30.
• Start working on Homework 1, due Fri Feb 1.
• Read Chapter 1 and Sections 2.1 and 2.2 of our book.

Chapter 2

#### Mon, Jan 28

• In Class, we will do the following: Start on Sections 2.1, 2.2, and 2.5
• Quiz
• t-based inference for a single mean or a difference between two means with paired data.
• Overview of concepts behind $$t$$ tests and confidence intervals pdf
• Examples of $$t$$ tests and confidence intervals pdf
• After class, please do the following:
• Homework 0 is on DataCamp, due Wed Jan 30.
• Start working on Homework 1, due Fri Feb 1.
• Read Chapter 1 and Sections 2.1 and 2.2 of our book.

#### Wed, Jan 30

• In Class, we will do the following: Finish Sections 2.1, 2.2, and 2.5
• Quiz
• Finish working through the handouts from Monday.
• After class, please do the following:
• Work on Homework 1, due Friday Feb 1.

#### Fri, Feb 1

• In Class, we will do the following:
• No Quiz
• Finish working through the handouts from Monday and Wednesday.
• After class, please do the following:
• Work on Homework 2, due Friday Feb 8.

#### Mon, Feb 4

• In Class, we will do the following:
• Quiz on material from Chapter 1
• Degrees of freedom
• All you really need to know is that degrees of freedom is sample size minus number of parameters for the mean
• More detail here: pdf
• Discuss material from Sections 2.3, 5.2 and 6.2. pdf
• After class, please do the following:
• Work on Homework 2, due Friday Feb 8.

#### Wed, Feb 6

• In Class, we will do the following:
• Quiz on material from Chapter 2
• Material from Sections 2.3, 5.2 and 6.2
• After class, please do the following:
• Work on Homework 2, due Friday Feb 8.

#### Fri, Feb 8

• In class, we will do the following:
• Quiz on material from Chapter 1 or Chapter 2
• Material from Sections 2.3, 5.2 and 6.2

#### Mon, Feb 11

• In class, we will do the following:
• Quiz on material from Chapter 1 or Chapter 2; not on Sections 5.2 and 6.2
• Wrap up material from Sections 2.3, 5.2, and 6.2

#### Wed, Feb 13

• In class, we will do the following:
• Quiz on material from Chapter 1, Chapter 2, or Sections 5.2 and 6.2
• Discuss material from Section 5.3: pdf

#### Fri, Feb 15

• In class, we will do the following:
• Quiz on material from Chapter 1, Chapter 2, or Sections 5.2 and 6.2
• Discuss material from Sections 5.3 and 5.4: pdf

#### Mon, Feb 18

• In class, we will do the following:
• Quiz
• Discuss material from Sections 5.3 and 5.4: pdf
• Lab 4. Solutions: pdf
• After class, please work on:
• Read Section 5.5 and Chapter 3
• Homework 4 due Friday, Feb 22

#### Wed, Feb 20

• In class, we will do the following:
• Quiz
• Discuss material from Section 5.5 and Chapter 3: Conditions for ANOVA pdf
• Homework 4 due Friday, Feb 22

#### Fri, Feb 22

• Homework 4 due today!!
• In class, we will do the following:
• Discuss material from Section 5.5 and Chapter 3
• Handout 1: pdf
• Handout 2: pdf
• Lab 5. Solutions: pdf

#### Mon, Feb 25

• In class, we will do the following:
• Quiz
• Section 6.3 and parts of 6.4. pdf
• Lab 6 on GitHub. Solutions: pdf
• After class please work on the following:
• Homework 5 due Friday Mar 1

#### Wed, Feb 27

• In class, we will do the following:
• After class please work on the following:
• Homework 5 due Friday Mar 1

#### Fri, Mar 1

• In class, we will do the following:
• Quiz
• Chapter 7
• Finish handout from last class
• Point estimates and confidence intervals for the mean response at a given value of the explanatory variable: pdf
• Start Lab 7
• After class please work on the following:
• Homework 5 due Friday Mar 1

#### Wed, Mar 6

• In class, we will do the following:
• Midterm

#### Fri, Mar 8

• Class cancelled

#### Mon, Mar 18

• In class, we will do the following: Start thinking about residuals. Chapters 7 and 8
• No Quiz
• Residuals, model fit by least squares, prediction intervals: pdf
• Talk through Chapter 7 quizzes

#### Fri, Mar 22

• In class, we will do the following: Chapter 8
• Quiz
• More on transformations for simple linear regression

#### Mon, Mar 15

• In class, we will do the following:
• Quiz
• A couple more minor topics from Chapter 8: refining our view of equal standard deviations, handling outliers (we will revisit in Chapter 11), and checking normality pdf

#### Wed, Mar 27

• In Class, we will do the following:
• Quiz
• Chapters 9 and 10: Multiple regression with 1 categorical and 1 quantitative explanatory variable (2 parallel lines): pdf
• Lab 10

#### Fri, Mar 29

• In Class, we will do the following:
• Quiz
• Chapters 9 and 10: Interactions between a categorical and quantitative variable (2 non-parallel lines): pdf

#### Mon, Apr 1

• In Class, we will do the following:
• Quiz
• Chapters 9 and 10: Regression with more than two lines: pdf

#### Wed, Apr 3

• In Class, we will do the following:
• No Quiz
• Time to work through quizzes on regression with multiple lines

#### Fri, Apr 5

• In Class, we will do the following:
• Class Cancelled

#### Mon, Apr 8

• In Class, we will do the following:
• Quiz
• Highlights from Chapter 13: 2 way ANOVA. pdf

#### Wed, Apr 10

• In Class, we will do the following:
• Quiz
• Lab 11: 2 way ANOVA

#### Fri, Apr 12

• In Class, we will do the following:
• Midterm 2

#### Wed, Apr 17

• In Class, we will do the following:
• Quiz
• Diagnostics for outliers/high leverage observations: pdf
• Start on multiple regression, pairs plots, added variable plots: pdf

#### Mon, Apr 22

• In Class, we will do the following:
• Multiple regression, multicollinearity, and variable selection: pdf
• The original article: pdf

#### Fri, Apr 26

• In Class, we will do the following:
• No Quiz
• Finish Lab 14

#### Mon, Apr 29

• In Class, we will do the following:
• No Quiz
• No new material covered.
• I will answer any questions you have.

We will have a cumulative final exam.