Law and Statistical Disorder: Statistical Hypothesis Test Procedures And the Criminal Trial Analogy
Virtually all business and economics statistics texts start their discussion of hypothesis tests with some more-or-less detailed reference to criminal trials. Apparently, these authors believe that students are better able to understand the relevance and usefulness of hypothesis test procedures by introducing them first via the dramatic analogy of the criminal justice system. In this paper, we argue that using the criminal trial analogy to motivate and introduce hypothesis test procedures represents bad statistics and bad pedagogy. First, we show that statistical hypothesis test procedures can not be applied to criminal trials. Thus, the criminal trial analogy is invalid. Second, we propose that students can better understand the simplicity and validity of statistical hypothesis test procedures if these procedures are carefully contrasted with the difficulties of decisionmaking in the context of criminal trials. The criminal trial discussion provides a bad analogy but an excellent counter-example for teaching statistical hypothesis procedures and the nature of statistical decision-making.
|Date of creation:||Mar 2006|
|Date of revision:||May 2007|
|Contact details of provider:|| Postal: Muncie, Indiana 47306|
Phone: (765) 285-5360
Fax: (765) 285-8024
Web page: http://www.bsu.edu/econ
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:bsu:wpaper:200601. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Tung Liu)
If references are entirely missing, you can add them using this form.