Reference Material

• Introduction to Statistical Quality Control

This is a pdf version of a textbook that is dedicated to all topics involving statistical quality control. It provides comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of situations
• Introduction to Statistical Quality Control

This resource contains notes from different sources on the topic of statistical quality control.
• Introduction to Statistical Quality Control

A thesis written on the topic of statistical quality control that provides good information about the history and use of SQC.
• Search Engine for R help

Rseek.org is a search engine for R resources. Type any topic in the search box, and get resources that are R specific. You can further narrow your search to just articles, books, packages, support, or "for beginners."

• Start Teaching with R

This online booklet, Start Teaching with R, by Randall Pruim, Nicholas J. Horton, and Daniel T. Kaplan comes out of the Mosaic project. It describes how to get started teaching Statistics using R, and gives teaching tips for many ideas in the course, using R commands.

• A Student's Guide to R

This online booklet comes out of the Mosaic project. It is a guide aimed at students in an introductory statistics class. After a chapter on getting started, the chapters are grouped around what kind of variable is being analyzed. One quantitative variable; one categorical variable; two quantitative variables; two categorical variables; quantitative response, categorical predictor; categorical response, quantitative predictor; and survival time outcomes.
• R Textbook Examples: Applied Survival Analysis, by Hosmer and Lemeshow

This site shows the code you would use to replicate the examples in Applied Survival Analysis, by Hosmer and Lemeshow. It has code in Stata, R, and SAS.
• R Textbook Examples Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence

This site has the data and shows the code you would use to replicate the examples in Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence, by Judith D. Singer and John B. Willett. It has code in SAS, R, Stata, SPSS, HLM, MLwiN, and Mplus.
• Practical Advice for Analysis of Large, Complex Data Sets

A reference for analyzing large, complex data sets. Helpful for various levels of students.

• Chance Magazine

CHANCE is copublished quarterly by the American Statistical Association and Springer Science + Business Media, LLC. The magazine is designed for anyone who has an interest in the analysis of data, informally highlighting sound statistical practice. CHANCE is not a technical magazine, but rather a cultural record of an evolving field, intended to entertain as well as inform. Since its creation in 1988, CHANCE has covered such topics as the 1990 census adjustment and the redesigned population survey, sports, the environment, DNA evidence in the courts, a variety of medical issues -- even how to win on "Jeopardy." -- CHANCE offers a unique opportunity to reach beyond statistics professionals to a more general audience.