Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

The Mystical Power of Descriptive Statistics

3,376 views

Published on

Does your analysis seem a bit lightweight at first glance? Do other UXers' charts and graphs kick sand in your deliverable's face?

Don't be afraid of numbers! You— yes, you!— can quantify anything!

You'll learn how to start getting real numbers out of your qualitative research, and get over the fear that you can't "do the science stuff". Plenty of rapid-fire real-world examples, including:

- Content audits!
- Web analytics!
- Bargain wines!
- Gendered social interaction in science fiction television shows!
...no, really!

Published in: Design
  • Be the first to comment

The Mystical Power of Descriptive Statistics

  1. 1. The Mystical Power of Descriptive Statistics<br />Wendy A F G Stengel<br />
  2. 2. Don’t Fear the <br />Lingo<br />
  3. 3. Descriptive statistics are DATA about DATA<br />We know all about that<br />
  4. 4. Counting & Cross Tabulation<br />
  5. 5. Nominal Variables are CATEGORICAL<br />We’re all about Categories<br />
  6. 6. Nominal Variables<br />
  7. 7. Ordinal Variables<br />have RANKS<br />We’re experts at Ranking<br />
  8. 8. Ordinal Variables<br />
  9. 9. Interval Variables<br />have <br />MEANINGFUL DISTANCES<br />They’re Numbers, folks<br />
  10. 10. Spot the Variable!<br />
  11. 11. Don’t Fear the NUMBERS<br />
  12. 12. Where you see PATTERNS,<br />You are seeing NUMBERS<br />Medusa Fractal © flickr.com/people/zerg_attack<br />
  13. 13. You can<br />QUANTIFY ANYTHING<br />
  14. 14. TNG “All Good Things” © Paramount Pictures<br />
  15. 15. You are already doing<br />The HARD WORK<br />
  16. 16. Spreadsheet of Doom? Statistical Beachhead!<br />
  17. 17. Assign numbers to your Data<br />Spot the Variable: What kind of Variables are these?<br />
  18. 18. Completely Legitimate!<br />
  19. 19. You can<br />DO THE SCIENCE STUFF<br />
  20. 20. Rejecting the Null Hypothesis:<br />Assume two variables are NOT related, and test to see if that is true<br />
  21. 21. Use the Right Test<br />
  22. 22. Treat Your <br />Ordinal Scale Data <br />as <br />Interval Scale Data<br />
  23. 23. Perfectly Valid!<br />
  24. 24. Correlation = Causation<br />
  25. 25. Be Thoughtful<br />Be Sensible<br />Seek Truth<br />
  26. 26. This will<br />HELP your PRACTICE<br />
  27. 27. Reassure your Clients<br />&<br />Boost your Confidence<br />
  28. 28. You have Nothing to Fear<br />
  29. 29. Read “How to Think about Statistics”<br />Write me with questions:<br />wendy.stengel@gmail.com<br />Twitter @wendywoowho<br />Learn More<br />

×