Mathematics 363

Introduction to Statistical Methods

Spring 2018

Resources

**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.

_
Tinn-R is a Windows-based free, simple but
efficient replacement for the basic code editor provided by R-gui.

_
Rstudio is an integrated development environment
for R.

_
knitr integrates
R code into a latex document.

_
R FAQ Ð 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**