PREFACE
JASP stands for Jeffrey’s Amazing Statistics Program in recognition of the pioneer of Bayesian
inference Sir Harold Jeffreys. This is a free multi-platform open-source statistics package, developed
and continually updated (currently v 0.9.0.1 as of June 2018) by a group of researchers at the
University of Amsterdam. Their aim was to develop a free, open-source programme that includes both standard and more advanced statistical techniques with a major emphasis on providing a simple
intuitive user interface.In contrast to many statistical packages, JASP provides a simple drag and drop interface, easy access
menus, intuitive analysis with real-time computation and display of all results. All tables and graphs
are presented in APA format and can be copied directly and/or saved independently. Tables can also
be exported from JASP in LaTeX format JASP can be downloaded free from the website https://jasp-stats.org/ and is available for Windows, Mac OS X and Linux. You can also download a pre-installed Windows version that will run directly from a USB or external hard drive without the need to install it locally. The programme also includes a data library with an initial collection of over 50 datasets from Andy Fields book, Discovering Statistics using IBM SPSS statistics1 and The Introduction to the Practice of Statistics2 by Moore, McCabe and Craig.
Since May 2018 JASP can also be run directly in your browser via rollApp without having to install it on your computer (https://www.rollapp.com/app/jasp). However, this may not be the latest version
of JASP.
Keep an eye on the JASP site since there are regular updates as well as helpful videos and blog posts!! This document is a collection of standalone handouts covering the most common standard
(frequentist) statistical analyses used by students studying Biological Sciences. Datasets used in this
document are available for download from http://bit.ly/2wlbMvf.
