Data Literacy for beginners is a one-hour webinar designed to introduce staff and students to the concepts first published in a popular statistics pamphlet, entitled How To Lie with Statistics, by Darrell Huff in 1954.
This webinar updates Darrell Huff's concepts, teaching you data literacy, the ability to read, understand, argue with, and make decisions from information. It will help you to spot misleading and exaggerated statistics by others and make you aware of the potential pitfalls involving data, whilst conducting your own research and data visualisations.
The topics covered loosely follow Darrell Huff's original chapters:
- Definition of data literacy
- Biased samples
- Averages
- Small samples
- All numbers in a dataset
- Axes on a chart
- Comparisons to a common baseline
- Correlations
- Extrapolating data
- The single statistic
- Trusting data endorsements
- Next steps: Further resources