MAT 117 02 - Elementary Statistics

About This Course

The Basic Practice of Statistics: (Cloth Text & Student CD)
The Basic Practice of Statistics Edition: 5th  Author(s): Moore, David S. 
ISBN-10:  1-4292-0121-5
ISBN-13: 978-1-4292-0121-6 
Copyright: 2010 Publisher(s): W H Freeman & Co

Supplemental books:
The Cartoon Guide to Statistics, by Gonick and Smith. NewYork, HarperCollins Publishers, 1993.
(ISBN 0-06-273102-5)
How to Lie with Statistics, by Darrell Huff. New York, W.W.Norton & Company, 1982
(ISBN 0-393-09426-X)
Tutorial: What is Statistics?                                 Tutorial: Statistical Problem Solving
                        

Course Bookmarks

Basic Links

Statistics is a very practical discipline, concerned about real problems in the real world.
Visit Why Study Statistics?
This Web site is designed to help you review key concepts from your textbook. To use this site, select a chapter or category below. Some content (e.g., quizzes) requires you to log on. If you are already registered with this site, enter your e-mail address and password in the space provided (on the left-hand side of this screen) and click "Go." If you have not registered with the site and wish to access password-protected content, click the "Sign me up as a student" link and enter the information requested.
Visit Our Textbook
Contemplating a mathematics career? or major? or minor? SIAM has published a new "Careers in Mathematics" brochure. This brochure has some excellent information to consider.
Visit Careers in Mathematics

Suggested Free Online Textbooks
A very well-designed and well-constructed text
Visit Online Text: HyperStat Statistics
This online introductory statistics text is a companion site of VassarStats: Web Site for Statistical Computation.
Visit Concepts and Applications of Inferential Statistics
an extensive web-based handbook of engineering-oriented statistical techniques. Closely integrated with Dataplot and other statistical software packages.
Visit NIST/SEMATECH Engineering Statistics Handbook
by Julian L. Simon. An introduction to probability and inference from a resampling (simulation) perspective. Covers probability, hypothesis testing, confidence intervals and sample size calculations and is an excellent introduction to simulation, bootstrap methods (sampling with replacement from the observed data to assess variability of a sample statistic), and permutation tests (comparison of observed differences between samples to differences obtained by randomly shuffling the samples together and re-dividing them).
Visit Resampling: The New Statistics
an excellent introduction to statistical concepts, presented in a clear and non-intimidating way. Topics include: mean, median, percent changes, per capita and rates, standard deviation and normal distribution, margin of error, confidence intervals and sample sizes. Site includes a set of frequently asked questions, and a Statistics Bulletin board -- Post your question about statistics, or help someone else by posting an answer to his or her problem. Also links to its sister site: Finding Data on the Internet
Visit Statistics Every Writer Should Know
a condensed handbook, or an extended glossary, written in encyclopedic format, covering subjects in statistics, computing, analysis, and related fields; meant to be both introduction and reference for data analysts, scientists and engineers (from CERN)
Visit The Data Analysis BriefBook
by Grinstead and Snell (a complete book, in Adobe Acrobat and Postscript format, that can be downloaded all at once, or chapter by chapter)
Visit Introduction to Probability
by Gary McClelland -- an online textbook containing many animated (Java) demonstrations. A tour, and part of the complete book, is available free.
Visit Seeing Statistics
giving the formula, expressions for the mean, SD, percentiles, higher moments, random variable generation procedures (if available), and insight into where that type of distribution function arises. In Adobe PDF format.
Visit Compendium of over 50 probability distribution functions
Digital Librarian: a librarian's choice of the best of the Web
Digital Librarian is maintained by Margaret Vail Anderson, a librarian in Cortland, New York
Citations: sites with links to Digital Librarian
Visit Public Statistics Links

An Introductory Handbook on Basic Probability, Statistics, and Excel

[This text has been prepared by Ian Johnston of Malaspina University-College, Nanaimo, British Columbia, for the use of students in Liberal Studies courses. The text is in the public domain and may be used by anyone, in whole or in part, without permission and without charge, released May 2000]
Visit I'll Give You a Definite Maybe

WLC Library Statistics Resources

Handouts

Chapter 3 Data Sets

Chapter 11 Data Sets

Class Video

Chapter 1

Chapter 2

Chapter 3

Chapter 4

Chapter 5

Chapter 6

Chapter 8

Chapter 10

Chapter 11

Chapter 12

Semester Review

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