Statistics: Can You Really Believe the Figures? [ABSTRACT]
Jinfo Blog
1st February 2008
By Chris Murphy
Abstract
Hard, objective, accurate, definitive, precise numbers are beguilingly appealing. Yet in reality numbers are often subjective, vague, provisional and need to be qualified - they can even be downright misleading. So a few key danger zones are highlighted here and some elementary precautions suggested. They may seem 'self-evident'. However, a vast number of examples could be quoted to show that simple errors often trip up even sophisticated research.
Item
Hard, objective, accurate, definitive, precise numbers are beguilingly appealing. Yet in reality numbers are often subjective, vague, provisional and need to be qualified - they can even be downright misleading. So a few key danger zones are highlighted here and some elementary precautions suggested. They may seem 'self-evident'. However, a vast number of examples could be quoted to show that simple errors often trip up even sophisticated research.
What's Inside:
Another potential statistical elephant trap is combining data from sources that do not compile it on the same basis. Failing to do so can have a dramatic impact.
---
This is a brief abstract of the full article. FUMSI subscribers can log in to MyShop at FreePint view the full article. Others can subscribe to FUMSI now for access to the complete archive of FUMSI articles.
- Blog post title: Statistics: Can You Really Believe the Figures? [ABSTRACT]
- Link to this page
- View printable version
- Statistics: Can You Really Believe the Figures?
Friday, 1st February 2008
- What They Say and Do: Practical Tips for Harvesting Reliable User Feedback for Planning
Saturday, 30th September 2006 - Business Information Trends: Adding Value and Creating Customised Applications
Saturday, 30th September 2006
Community session
11th December 2024
2025 strategic planning; evaluating research reports; The Financial Times, news and AI
5th November 2024
How are information managers getting involved with AI? Navigating privacy, ethics, and intellectual property
- 2025 strategic planning; evaluating research reports; The Financial Times, news and AI
5th November 2024 - All recent Jinfo Subscription content
31st October 2024 - End-user training best practice research
24th October 2024
- Jinfo Community session (TBC) (Community) 23rd January 2025
- Clinic on contracting for AI (Community) 11th December 2024
- Discussing news and AI strategies with the Financial Times (Community) 21st November 2024