Understanding some statistics is important for general science literacy. Below are some common statistics resources that may be useful for your project work. To support your professional development, ...

This is an introductory course in statistics. Topics that we will cover include elementary statistical measures, statistical distributions, statistical inference, hypothesis testing and linear ...

R is a free computing and graphical software/environment for statistical analysis. This short course consists of 3 sections: Section 1 provides introduction to R programming basics, such as data ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

Post-hoc testing is carried out after a statistical analysis where you have performed multiple significance tests, ‘post-hoc’ coming from the Latin “after this”. Post-hoc analysis represents a way to ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...