"Statistics is: the fun of finding patterns in data; the pleasure of making discoveries; the import of deep philosophical questions; the power to shed light on important decisions and the ability to guide decisions..... in business, science, government, medicine, and industry... "

Professor David Hand, Royal Statistical Society President

StatsRef Handbook - Web version

StatsRef Handbook - sample pages (PDF)

What is StatsRef?

Polar bubble scatterplot - extract from MatPlotLib Python sample

StatsRef is a free, web-based statistical analysis resource. It provides a comprehensive guide to statistical concepts, methods and tools, with many examples being provided using a variety of software tools such as R, MATLab and SPSS to clarify the concepts discussed. It aims to be comprehensive in terms of concepts and techniques (but not necessarily exhaustive), representative and independent in terms of software tools, and above all practical in terms of application and implementation.

Graphic: Polar bubble scatterplot - extract from the MatPlotLib gallery

Who is StatsRef for?

NASA - Ozone hole, Oct 2010-2012

Undergraduates and Postgraduates studying statistics and statistical analysis as a component of their specific discipline (e.g. social sciences, earth sciences, life sciences, engineers), and for Professional research scientists.

Students studying for academic or professional qualifications in statistics will find that the level and content adopted is that of the Ordinary and Higher Level Certificates of the Royal Statistical Society (RSS). Much of the material included in this Handbook is also appropriate for the Graduate Diploma level also

Graphic: NASA Ozone Watch - Ozone hole, Oct 2010-2012

This free website and service is funded with the assistance of sales of the downloadable special PDF (printable and non-printable) versions of the Handbook. Hard copies of the handbook are not available but may be printed from the appropriate downloadable special PDF. These versions may be ordered here

Timeline of Statistics

The history of statistics extends back to Greek and Roman times, but mathematically rigorous formulations date from the late 17th century. Julian Champkin, Editor of the RSS/ASA Significance Magazine has produced a very useful Timeline poster - click the image to download a large format PDF poster and visit the RSS/ASA "Statslife" website for more information

Timeline of Statistics