Free ENBIS Webinar by Peter Goos on "Data and Model Visualization: How to Communicate Effectively and Make Students Enthusiastic about Statistics"

22 October 2015; 12:30 – 13:30; Webinar

Peter Goos will talk about teaching introductory statistics to business and bio-science engineering students. The webinar will be moderated by Antje Christensen.

Generally, students in business and industry are not enthusiastic about statistics. By making use of modern, user-friendly software, it is, however, possible to change this, from the very first lecture on descriptive statistics onwards. In this webinar, Peter Goos will demonstrate his approach to teaching introductory statistics to business students and bio-science engineering students. First, using several examples from his lectures on descriptive statistics, he will demonstrate how easy it is to create wonderful static and dynamic graphs that provide insight into complex data sets, in the blink of an eye. Next, he will show how to use dynamic visualizations of regression models. These are called prediction profilers and help students understand, explore and exploit interaction effects and other higher order effects. By means of a data set on hearing aid parts, he will demonstrate how to make the output of a regression analysis understandable, and useful. Finally, using data from a vitamin stability experiment, he will demonstrate that the dynamic linking feature of software packages contributes to an effective communication of the results of regression analyses. Throughout the webinar, he will use the JMP software for the demos. Most examples will be taken from the books "Statistics with JMP: Graphs, Descriptive Statistics and Probability" by Goos & Meintrup (2015), "Statistics with JMP: Hypothesis Tests, ANOVA and Regression" by Goos & Meintrup (to be published in 2016) and "Optimal Design of Experiments: A Case-Study Approach" by Goos & Jones (2011).