Advances in Decision Sciences

Advances in Decision Sciences / 2003 / Article

Open Access

Volume 7 |Article ID 367207 | https://doi.org/10.1155/S1173912603000105

H. L. Macgillivray, "Making statistics significant in a short course for graduates with widely-varying non-statistical backgrounds", Advances in Decision Sciences, vol. 7, Article ID 367207, 9 pages, 2003. https://doi.org/10.1155/S1173912603000105

Making statistics significant in a short course for graduates with widely-varying non-statistical backgrounds

Abstract

Abstract. With reference to a short compulsory module for MBA students, this paper discusses how, despite a range of pressures and an extraordinary range of student backgrounds, fears and motivations, it is possible to quickly facilitate understanding and confidence in handling data and basic statistics for graduates in business and associated workplaces. Links and contrasts with a variety of undergraduate teaching scenarios help to enrich teaching and learning strategies, and the strategies and materials developed through interaction with the range of MBA students are transferable to other postgraduate coursework situations. In particular, the need for understanding and confidence in handling data and its presentation, in considering categorical and simple continuous data, and in understanding correlation and association, are common across many different workplaces and applications.

Copyright © 2003 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


More related articles

 PDF Download Citation Citation
 Order printed copiesOrder
Views84
Downloads366
Citations

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.