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Statistical Texts
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NIST SEMATECH
Handbook
NIST/SEMATECH e-Handbook of Statistical Methods,
http://www.itl.nist.gov/div898/handbook/ .
The goal of this handbook is to help scientists and engineers
incorporate statistical methods in their work as efficiently as
possible.
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| StatLib
Welcome to StatLib, a system for distributing statistical software,
datasets, and information by electronic mail, FTP and WWW. StatLib
started out as an e-mail service and some of the organization still
reflects that heritage. We hope that this document will give you
sufficient guidance to navigate through the archives. For your
convenience there are several sites around the world which serve as
full or
partial mirrors to
StatLib.
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Categorical Data Analysis with Graphicsa
This document contains the online version of the
course notes for the short course, Categorical Data Analysis with
Graphics, offered through the
Statistical Consulting
Service at York University.
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Basic statistics for
clinicians
by Canadian Medical Association
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Electronic Statistical Textbook
by StatSoft
This Electronic Statistics Textbook offers training in the
understanding and application of statistics. The material was developed at
the StatSoft R&D department based on many years
of teaching undergraduate and graduate statistics courses and covers a
wide variety of applications, including laboratory research (biomedical,
agricultural, etc.), business statistics and forecasting, social science
statistics and survey research, data mining, engineering and quality
control applications, and many others.
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Exploring Data
This website contains activities, worksheets, overhead transparency
masters, datasets and assessment to support data exploration. It also
contains an extensive collection of articles designed to enhance the
statistics knowledge of the teacher. There is a resources page that
gives a select list of the finest resources available to support
introductory statistics, including texts, websites, datasets, java
applets and mailing lists.
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Gallery
of Data Visualization by Michael Friendly.
This Gallery of Data
Visualization displays some examples of the
Best and Worst of Statistical Graphics,
with the view that the contrast may be useful, inform current practice,
and provide some pointers to both historical and current work.
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