Basic concepts in hypothesis testing, including effect sizes, type I and type II errors, calculation of statistical power, non-centrality parameter, and applications of these concepts to twin studies.

In recent years, massive open online courses (MOOCs), through the likes of Coursera, have attracted hundreds of thousands of students from across the world. Many teachers are using a "flipped" ...

In the realm of technical product development, hypothesis testing acts as a bridge between design, data and decision-making. It enables teams to move beyond assumptions and validate their ideas ...

The course provides a precise and accurate treatment of statistical ideas, methods and techniques. Topics covered are sampling distributions of statistics, point estimation, interval estimation, ...