These collections range from full textbooks throughwhat mightbe some chapters of a textbook to fairly extensive lecture notessupplied to supplement a course textbook. There are pointers to featuresI consider noteworthy or unusual.

Psychology 200  Introductory Statistics ...

by David W. Stockburger at Southwest Missouri Stat University

• Formerly this web textbook was available under a very generous copyright notice. (see http://www.psychstat.smsu.edu/introbook/about.htm.) The author has now (April 2000) contracted with a publisher for a second edition. The original edition will will be left on the web for a while

[Contents];  [Searchthe course notes]   ["aboutthis book"]

• Requires Frames  /  Strong on scales of measurement /  Philosophical orientation toward psychology

STeve's Attempt to Teach Statistics bySteve Simon  [Titlepage and contents]  [Copyright policy appears on this page]

• From the Author's preface, "The STATS pages are a collection of handouts that I use in my job as a statistical consultant. On the job, I get some questions over and over again."
• Topics on statistics and scientific method in medical research. Neither a textbook nor a course, it is a miscellany and as such includes topics uncommon in courses,  managing data for example.   I find it a refreshing change from standard textbook fare. There is material here which ought to be, but usually is not, in party line statistics courses. Here are a few:
  • How to manage your researchdata.
  • How to Read a Medical JournalArticle
  • On web polls
  • Exam questions on some(not altogether fictional) stories

Statistics, The Study of Stability in Variation   byJan de Leeuw at UCLA

• The prefacestates the aims of this textbook as --
1. freely available to everyone on the Internet
2. independent of the level of the student, i.e. useful at the undergraduate,graduate, and postdoc level;
3. interactive, using graphics and demos;
4. complete, i.e. it covers most of statistical theory as traditionally taught.
• Course organization, shown below, differs from typical textbooks --
1. Introduction   (mostly on sampling)
2. Analysis of a SingleVariable
3. Analysis of aPair of Variables
4. Analysis ofMultivariables

Course in medical biostatistics   [leaderpage] [Courseoutline]
T. Lee Willoughby -- U.Missouri School of Medicine

Miscellaneous Notes: In no way a textbook.

• Medical or Nursing students could use the topics below to supplement atextbook.
• Mass screening with proper vocabulary:   false negative, false positive
• Some medical rates defined:   morbidity, mortality, prevalance, incidence,odds ratio, . . .
• General
• Some historical notes
• Howto choose a test

Lecture Notes [Math113]  [Math170]   The two sets of notes are very similar.

byJamesJones  / Richland Community college,Decatur, Illinois.

• Inclass sampling exercise with  grab, simple, cluster, ...
• I like the treatment ofProbability;conditional probability is done right with 2x2tables instead offormulae.
• Stress Pythogoras yet. See for example  [std]and [correlation]
• Every chapter starts with a page of definitions - words to appear in chapter
• A "TI-82" graphing calculator is assumed (Which makes histograms,etc.)

Math37: Probability and statistics  by   Dr. Chance atUniversity of the Pacific
Statistics teachers should read "What I do the first day of statistics class"

• Lecture notes / not a textbook
• Lecture Notes  Notes often include data to be processed during class; the data is typicallyreal, brief, and to the point.
• Some good HomeWork  Read newspapers, criticise ...
• Notes aren't stand-alone, textbook & lectures assumed.
• As these notes seem to be rewritten every semester my URL`s maybe dated.

Statistics30X atTexas A & M University   [header page]  [contents]

• These lecture notes should be useful as a one or two paragraph synopsistopics in statistics.
• Afew famous questions
• Boxplotswith all stops out
• ResidualPlots and Regression Assumptions

HyperstatOnline   by DavidLane  atRice University

• Extensive cross referencing
1. To related web pages at other sites
2. To related web pages at the same site
• Contains a glossary
• on Spearman'srho
• Useful pages:     1. Glossaryfor descriptive statistics     2. sigmanotation for sum

SticiGuiHyperText   © 1997,P.B. Stark. / U. of California at Berkely

• Order of topics is Overview, Descriptive, Probability, Inference, Gametheory
• I like the overview in the firstchapter: Confounding, randomization, placebo, non-response, longitudinalvscross section, . . .
• Two case studies from the Author's consulting experience: [Tradesecret example (probability)], [Fisheriesexample (statistics)]
• Many pages use Java, for example
• Nice Interactiveresidual plot page
• Technical words in the text are highlighted URL`s to the glossary--convenient but, sometimes technical terms are so dense as to be distracting.

SurfStat Australia Welcome pageContents No Frame Version  by Keith Dear

Sales and service ($150 Australian as of 2000 Jan 31)

Some practical topics not commonly in textbooks:

• Principles of study design:
  Randomization, replication and blocking; Experiment vs Observational; Succinct notes on quesionairre use
• Bian and non-response in public opinion polls
• Synopsis of Salk vaccine trial

Introduction to Biostatistics by Bret Larget at Duquesne U.

• A textbook along standard lines
• with hypertext cross references

ExploringData    by Rex Boggs 

Copyright notice near bottom of this page

This is a resource for teachers rather than a textbook. There are new slantson various topics. Pointers to resources such as question banks. Some topics --

• Six characteristics of a data set
• Challenger O ring data
• Spread including thorns like mean absolute deviation, quartiles ...
• Boxplots with all stops out.

 

StatSoft Electronic Statistics Textbook   [TitlePage]   [Contents] ©StatSoft

Not a textbook for an elementary course: This seems to comprixesketches of selected advanced topics for users of "Statistica"

• Material oncrosstabulation

Enviromental Science 202   University of Oregonhttp://zebu.uoregon.edu/1999/es202.html>

This enviromental science course, includes statistical material,some of it not usually found in web course material.

• Data reliability and myth suppression
• Sampling withemphasis on practical issues of measurement.
• Measurement Error- bias vs random
• on Exponential growth"

Science101: Data collection and analysis (© notice at bottom of page) byAlbert Goodman at Deakin Univ

This course covers the planning, execution, and presentating results, ofa study. It is one of the few web texts to mentionframes.Treatment is not mathematical, there are no variance formulae for example.

• Chapter7is on surveys. Includes planning: state objective, population, instrument,frame,method of sampling.
• Chapter8 is on instrument.
• Chapter9 is on data management
• Sourcesof data (not much nitty-gritty)
• examples of many kinds of graphical display, good, bad, indifferent  [here]
• Summaryof the Australian Census

Statistics at Square One   [Copyrightnotice]

by T D V Swinscow Revised by M J Campbell, University of Southampton

• A "how to" book aimed at the medical profession
• Populationsandsamples
• Study design andchoosing a statistical test   double-blind, cohort. .

Stat Primer by Paul Murky, Marg Innovera, Haywood Jabuzoff, and PatMcCann

An orthodox statistical text whose intendended audience is medical, in particular epidemiological. Does not contain depth coverage of "double blind", "prospective", etc.

Main material is in "Acrobat", at present (2001 April) excercises are html

Biostatistics for the Clinician    Intro page includes copyright University of Texas Houston

Contents: at bottom of home page.

Items not usually in textbooks.

• Some "crap detectors" to apply to papers in medical journals.   [1]   [2]   [3]  
• On clinical importance vs "significance"
• Power, sample size, sffect size and clinical significance

Each mini-lesson concludes with a one item interactive quiz.

SCI199Y: Lies, Damned Lies and Statistics

"This course is offered as one of the Faculty of Arts and Science `Freshman Seminars'. . . . Enrollment is limited to 20 students. There are no mathematics or statistics prerequisites."

Daily notes, not a text in any sense. This appears to be a "statistics in society" type of course, for example, weekly notes include summaries of newspaper material.

StatisticsNotes by the author of this page.

(These notes may be freely copied for non-commercial purposes.)