Statistics 101: Spring 2013
Data Analysis and Statistical Inference
Professor Mine Çetinkaya-Rundel
Useful links:
RStudio : computation
OpenIntro : textbook
Textbook errata : If you read something that doesn't make sense first check to see if it's been corrected already. If not, send me an email about it so that I can confirm whether it's a typo or not, and if it is, it'll be added to the list.
Distributions : probabilities/areas under the curve for various distributions (those you'll encounter in this course, and more)
Stats and data visualization blogs:
FiveThirtyEight : Nate Silver's political calculus
FlowingData : data visualization
Junk Charts : the name says it, examples of not-so-good visualizations and discussion on how to improve them
The Guardian Data Blog : interesting data visualizations for news stories as well as links to the actual data
The Daily Viz : blog of matt stiles, data journalist at npr
Statistical Modeling, Causal Inference, and Social Science : blog of Andrew Gelman, professor of statistics and political science at Columbia University, often higher level statistics but interesting commentary
blprnt.blg : blog of Jer Thorp, Data Artist in Residence at the New York Times
hilarymason.com : blog of Hillary Mason, chief data scientist at bit.ly
Simply Statistics : blog of three biostatistics professors (Jeff Leek, Roger Peng, and Rafa Irizarry), posts discussing science/popular writing, linking to inspiring articles, and advice for up-and-coming statisticians
Last updated January 10, 2013