Resource Library

This glossary defines and explains statistical terms for introductory students. The glossary can be shown in alphabetical order or in suggested learning order. Click on the topic of interest to see the definition. Use the arrows at the bottom to proceed to the next topic or click the blue dot to return to the contents page.

This glossary gives definitions for numerous statistical terms, concepts, methods, and rules.

These pages from the University of Melbourne explain statistical concepts using various examples from medicine, science, sports, and finance. The intent is not computational skill but conceptual understanding. Some pages also contain data.

CAST contains three complete introductory statistics courses, one advanced statistical methods course, and additional modules. Each introductory course presents the same topics, but with different applications. The first is a general version, the second is a biometric version with examples relating to biological, agricultural and health sciences, and the third is a business version. Each course comes in a student version and a lecture version. The additional modules cover Multiple and Nonlinear Regression, Quality Control, and Simulation. Registration is required, but free. Individuals or classes can register.

This page gives a history of notation and symbols and who developed them for combinatorial analysis, the normal distribution, probability, and statistics. Quotes from the first papers to use these symbols are also given.

This tutorial opens with a survey on polling. Upon completing the survey, students are taken through an election example which uses polling to explain random sampling, bias, margin of error, and confidence intervals.

This is the homepage for the Reserve Bank of Australia. Browse data by Alphabetical Index of Statistics, Statistics by Frequency of Publication, or Bulletin Statistical Tables.

This webpage presents three new datasets to accompany the book "A Casebook for a First Course in Statistics and Data Analysis" by Chatterjee, Handcock and Simonoff. The datasets address salaries of major league baseball players, state aid to Nassau County public schools, and the success of teams in the National Hockey League, 1995-1996. The datasets are available in Minitab, Text, and Statistix 4 format.

This collection of datasets addresses social science issues and is housed at the University of Wisconsin. Free registration is required to access the datasets.

This page from the Bureau of Labor Statistics provides data and statistics on Inflation & Consumer Spending, Wages, Earnings, & Benefits, Productivity, Safety & Health, International Labor, Occupations, and Demographics. Data is in Excel, html, or pdf format.