The last decades a debate has been going on about the use of hypothesis testing. This has led some teachers to think that confidence intervals and effect sizes need to be taught instead of formal hypothesis testing with p-values. Although we see shortcomings of the use of p-values in statistical inferences and the difficulties in really understanding hypothesis tests, we take a different view. We think that it is essential to understand what the fundamental principles are behind hypothesis testing in order to obtain correct statistical inference by interpreting confidence intervals (and, at the same time, p-values). In our course “Applied Statistics” for graduate students we designed course material in which we explain the three main approaches of hypothesis testing, Fisher, Neyman-Pearson and Bayesian, using a popular chance game as illustration. In this paper, we will shortly present the highlights of the course material, the results of the evaluation of our teaching, and suggestions for extensions.
Originele taal-2English
TitelICOTS-9 Proceedings
SubtitelSustainability in statistics education
RedacteurenKatie Makar, Bruno de Sousa, Robert Gould
Aantal pagina's4
StatusPublished - jul-2014
EvenementSustainability in statistics education - ICOTS-9, Flagstaff, Arizona, United States
Duur: 13-jul-201418-jul-2014


ConferenceSustainability in statistics education
Land/RegioUnited States
StadFlagstaff, Arizona

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