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The p and the Peas: An Intuitive Modeling Approach to Hypothesis Testing

Published online by Cambridge University Press:  05 October 2011

C. Neuhauser  and
E. Stanley
C. Neuhauser*
Affiliation:
Biomedical Informatics and Computational Biology University of Minnesota Rochester, Rochester MN
E. Stanley
Affiliation:
BioQUEST, Biology Department, Beloit College, Beloit WI
*
⋆ Corresponding author. E-mail: neuha001@umn.edu
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Abstract

We propose a novel approach to introducing hypothesis testing into the biology curriculum. Instead of telling students the hypothesis and what kind of data to collect followed by a rigid recipe of testing the hypothesis with a given test statistic, we ask students to develop a hypothesis and a mathematical model that describes the null hypothesis. Simulation of the model under the null hypothesis allows students to compare their experimental data to what they would expect under the null hypothesis, thus leading to a much more intuitive understanding of hypothesis testing. This approach has been tested both in the classroom and in faculty workshops, and we provide some suggestions for implementations based on our experiences.

Keywords

data analysishypothesis testingmathematical and biological reasoningmodel buildingmodel revisionnormal distributionpeasprobabilitysamplingseed development
Type
Research Article
Information
Mathematical Modelling of Natural Phenomena , Volume 6 , Issue 6: Biomathematics Education , 2011 , pp. 76 - 95
Copyright
© EDP Sciences, 2011

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