Mathematics

Statistics and Data Science 363

Introduction to Statistical Methods

Spring 2019

Resources

 

Course Homepage

 

Downloads and web interfaces

·      The R Project for Statistical Computing. R, free statistical analysis package developed by Robert Gentleman and Ross Ihaka, is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S.

·      Rstudio is an integrated development environment for R.

·      The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.

• Tinn-R is a Windows-based free, simple but efficient replacement for the basic code editor provided by R-gui.
• knitr integrates R code into a latex document.
• R snippets allows you to run R in an internet browser.
• R FAQ Frequently Asked Questions on R

 

Ethics

·      Declaration on Profession Ethics in several languages from the International Statistical Institute

·      Ethical Guidelines for Statistical Practice from the American Statistical Association

 

Manuals

• SimpleR: Using R for Introductory Statistics by John Verzani.
• R for Beginners by Emmanuel Paradis.
• Introductory Statistics with R (first edition) by Peter Dalgaard from the Springer Link.

 

Handouts and Guides

• R as a basic statistical calculator for obtaining p-values and plotting probability distributions (6 page pdf file) by Bruce Walsh.
• R reference card by Jonathan Baron.
• R reference card by Tom Short.
• R for Matlab users by Mathesaurus

 

Textbooks

• Investigating Statistical Concepts, Applications, and Methods by Beth L. Chance and Allan J. Rossman
• Stat 2 by Ann R. Cannon, George W. Cobb, Bradley A. Hartlaub, Julie M. Legler, Robin H. Lock, Thomas L. Moore, Allan J. Rossman , Jeffrey A. Witmer
• Probability and Statistics by Morris H. DeGroot and Mark J. Schervish
• Stats: Data and Models by Richard D. DeVeaux, Paul F. Velleman, David E. Bock
• Practicing Statistics: Guided Investigations for the Second Course by Shonda Kuiper and Jeff Sklar
• Stat Labs: Mathematical Statistics Through Applications by Deborah Nolan and Terry P. Speed
• Mathematical Statistics and Data Analysis by John A. Rice

 

On-line Resources

• Correlation and Regression by Philip B. Stark
• Java Applets provided by James W. Hardin
• Java applets for power and sample size by Russ Lenth
• Receiver operator characteristic curve
• Links to online resources

 

Tables

·      Normal Distribution

·      t Distribution

·      Chi-Squared Distribution