Allen 2051

Monday, Wednesday, 11am-12pm

Thursday, 2-3pm

Please reserve your slot here.

Allen 2122

Tuesday, 1-4pm

**Jan 18**: Introduction

- assignment [pdf]
- textbook [Amazon]
*Foundation*[Amazon]- syllabus [pdf]
*New York Times*, “For Today’s Graduate, Just One Word: Statistics” [web]*Chronicle of Higher Education*, “Liberal-Arts Majors Have Plenty of Job Prospects…” [web]- Hans Rosling talk [web]
- Gapminder World [web]

**Jan 20**: Questions

**Jan 23**: Models

- assignment [pdf]
- notes [pdf]
- slides [pdf]
- Steven Johnson’s talk “Where Good Ideas Come From” [web]
- R [web]
- RStudio [web]

**Jan 25**: Computing

**Jan 27**: Loading Data

- assignment [pdf]
- Computing Assignment 1 [pdf] [key]
- notes [pdf]
- nominate data set [csv] [dta] [rds]
- submit_times data set [csv] [dta] [rds] [xlsx]
- calories data set [csv] [dta] [rds] [xlsx]

**Jan 30**: Causal Inference

**Feb 1**: Histograms

- assignment [pdf]
- handedness survey [pdf]
- submit handedness survey [web]
- code to load handedness data [gist]

**Feb 3**: Histograms in R

**Feb 6**: Average and SD

- assignment [pdf]
- Computing Assignment 3 [pdf] [key]
- state-legislators data set [csv] [dta] [rds] [xlsx]

**Feb 8**: Average and SD in R

**Feb 10**: Normal Approximation

**Feb 13**: ECDFs in R

**Feb 15**: Measurement

- assignment [pdf]
- Computing Assignment 5 [pdf] [key]
- survey [web]
- leadership extremity exercise [pdf]
- slides [web]

**Feb 17**: Survey Measurement

**Feb 20**: Review

**Feb 22**: Exam 1

- study guide [web]

**Feb 24**: Scatterplots and Correlation, Part 1

**Feb 27**: Scatterplots and Correlation in R

- assignment [pdf]
- notes [web]
- Rainey (2015) [pdf]
- Clark, Golder, and Golder (2013, pp. 477-478) [pdf]
- taiwan data set [rds]
- gamson data set [rds]
- bodies data set [rds]
- run log [web]
- code to load run log [gist]

**Mar 1**: Scatterplots and Correlation, Part 2

**Mar 3**: Regression, Part 1

**Mar 6**: Regression, Part 2

**Mar 8**: Regression, Part 3

- assignment [pdf]

**Mar 10**: Regression in R

- assignment [pdf]
- notes [web]
- therms data set [rds]
- taxes training set [rds]
- taxes prediction set [rds]

**Mar 20**: Multiple Regression, Part 1

- assignment: Have an excellent Spring Break!

**Mar 22**: Multiple Regression, Part 2

**Mar 24**: Multiple Regression in R

**Mar 27**: Review

**Mar 29**: Exam 2

**Mar 31**: Probability, Part 1

- assignment [pdf]

**Apr 3**: Probability, Part 2

**Apr 5**: Law of Averages

**Apr 7**: Expected Value and Standard Error

- assignment [pdf]

**Apr 10**: Discussion of Writing Assignment and the Box Model

- box model code [Gist]

**Apr 12**: Central Limit Theorem

**Apr 17**: Sample Surveys

**Apr 19**: The Accuracy of Percentages

**Apr 21**: The Accuracy of Averages

- assignment [pdf]

**Apr 24**: Class Cancelled

**Apr 26**: Hypothesis Testing, *z*-Statistics, and *p*-Values

**Apr 28**: *t*-Tests or “Why sd() Divides by *N-1*, not *N*”

- assignment [pdf]

**May 1**: Review for Final Exam

- add to this document [web]

**May 4**: Final Exam for Section 901 from 8-10am

**May 5**: Final Exam for Section 902 from 8-10am

- study guide web]