|Learning Objectives: using examples,
- critique three emerging business research tools (MDM2 pp:41-45, Tag Cloud, Emerging research and visualisation tools)
- contrast descriptive/deductive and inferential/inductive statistics (Wikipedia and National Atlas)
- explain four separate misuses of statistics (Wikipedia, MDM2 pp: 9-10 and data dredging)
The Resource page contains links to:
- Data sources
- Emerging research and visualisation tools
|Discuss and Reflect
- Why do you (dis)like data visualisation techniques, such as graphs, charts, figures, maps or tag clouds?
- What data sources, emerging and traditional, can and should businesses use?
- What future business research methods and data sources do you envision?
- [QR] Lying with statistics, RiskVue.com (2001)
- [MR] An HTML for Numbers , Slate.com (16 Feb 2011)
- [MR] Egger (2004) Visualizing Scientific Data, Visionlearning.com
- [A] Darrell Huff and Fifty Years of How to Lie with Statistics, Statistical Science (2005), Vol. 20, No. 3, 205–209
- [B] How to Lie with Statistics, (1993)
- [MR] Tufte, 2005, PowerPoint Does Rocket Science--and Better Techniques for Technical Reports
- [V] Peter Donnelly shows how stats fool juries (2005) TedTalks (22 min)