Day 1 … what actually happened!

• introduction + a few words from Tashi about the CDT on people-first AI and data
• wild and wide (i) getting a feel for randomness (coin tossing, etc.)
• wild  and wide (ii)  bias, variability, independence
• wild  and wide (iii)  distributions, normal data and power law
• traditional statistics (i) hypothesis testing
• traditional statistics (ii) confidence intervals
• gaining power

  We didn’t cover:

• Bayesian techniques and Bayesian statistics (see notes and videos)
• ‘so what?’ – visualising and interpreting, data (see notes and videos)

Slides – PowerPoint

• Stats-MC-0-intro.pptx
• Stats-MC-1-wild-and-wide.pptx
• Stats-MC-2-doing-it.pptx
• Stats-MC-3-gaining-power.pptx
• Stats-MC-4-so-what.pptx

Slides – PDF six up

• Stats-MC-0-intro-6-up.pdf
• Stats-MC-1-wild-and-wide-6-up.pdf
• Stats-MC-2-doing-it-6-up.pdf
• Stats-MC-3-gaining-power-6-up.pdf
• Stats-MC-4-so-what-6-up.pdf