Details

Autor(en) / Beteiligte

• Rossman, Allan J.
• Chance, Beth L.

Titel

Using simulation-based inference for learning introductory statistics

Ist Teil von

• Wiley interdisciplinary reviews. Computational statistics, 2014-07, Vol.6 (4), p.211-221

Ort / Verlag

Hoboken, USA: John Wiley & Sons, Inc

Erscheinungsjahr

2014

Quelle

Wiley Online Library

Beschreibungen/Notizen

• Recent curriculum development projects emphasize teaching simulation and randomization‐based statistical inference as a prominent feature in introductory statistics courses. We describe the goals, distinctive features, and examples from some of these projects. Technology is a key component of these courses, so we mention desirable features of the various technology products used with this approach. We also discuss how student learning is being assessed in such courses, along with how the curriculum effort itself is being evaluated. We also touch on some challenges that we have encountered with teaching these courses, both from a student and a faculty viewpoint. WIREs Comput Stat 2014, 6:211–221. doi: 10.1002/wics.1302 This article is categorized under: Statistical and Graphical Methods of Data Analysis > Bootstrap and Resampling Statistical Models > Simulation Models