Using Charts to Present Statistical Data to Non-Statisticians
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The document discusses the effectiveness of using charts to present statistical data to non-statisticians, emphasizing that visual representation can convey information efficiently. It highlights concepts such as statistical process control (SPC), variation types, and the importance of clarity in graphical presentations. Additionally, it offers resources for further exploration of visual methods and statistical analysis tools.
Using Charts to Present Statistical Data to Non-Statisticians
- 1. Using Charts to Present Your Results to Non-Statisticians Often the most effective way to describe, explore, and summarize a set of numbers… —even a very large set— is to look at pictures of those numbers. -Edward Tufte
- 2. Say It With Charts
- 3. Say It With Statistical Charts
- 4. Which Chart Tells the Best Story?
- 5. Chart Junk Graphical excellence gives the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space. -Edward Tufte
- 7. What Does a p-value Look Like?
- 8. What Does a p-value Look Like?
- 9. What Does a p-value Look Like?
- 10. Complexity
- 11. Clarity
- 13. Pareto Charts Can Tell You
- 14. Is This Acceptable Performance?
- 15. No! You Need Statistical Alarms
- 16. Statistical Process Control in a Nutshell Reality: Every Process Varies Goal: Reduce Variation in Products and Services Types of Variation •Special Cause Variation (something changed) •Common Cause Variation (normal variation)
- 17. SPC in a Nutshell It’s possible to calculate statistical limits for any type of data and any pattern of variation. Using these “control” limits, it’s possible to create rules to detect special causes of variation whenever a process shifts.
- 18. Statistics or Charts? • Normality? • Means? • Variances?
- 20. Reducing Variation Use Histograms to show reduction in variation Before After
- 22. Periodic Table of Visual Methods http://www.visual-literacy.org/periodic_table/periodic_table.html
- 23. QI Macros SPC Software for Excel www.qimacros.com Data Analysis & Projects Lean Six Sigma Demystified www.lssyb.com