Ideas for World Statistics Day

October 19, 2010

World Statistics Day is 2010 October 20.  If you work with data or you should, then you are a statistician and this is a day for you.

  • Try the Monty Hall problem on your mother.
  • Start reading Bad Science.  I mean the book, but here’s the blog.
  • Take a step towards breaking your spreadsheet addiction by starting to use R.
  • Watch Hans Rosling’s TED talk on the best stats you’ve ever seen
  • Think about what new data would be informative for something that you are doing.
  • Think about how data that you are using may be misleading.
  • Conceive of a more useful graphic for some data that you have.
  • Take advantage of and/or support http://www.getstats.org.uk/, the newly launched outreach project of the Royal Statistical Society.
  • Start reading Malcolm Gladwell’s What the Dog Saw.  Several of the pieces are statistics lessons in disguise.
  • Modernize your data analysis by learning the statistical bootstrap and related methods. If you already know it, then teach it to someone else.
  • Start to read Obliquity by John Kay to rein in your belief in models and upgrade your appreciation of experimentation.
  • Get around to deriving the Uniformly Most Powerful Unbiased test for that problem that you’ve been putting off.

More ideas are welcome.

Update: The official United Nations site for World Statistics Day is http://unstats.un.org/unsd/wsd/Default.aspx

Subscribe to the Portfolio Probe blog by Email

Leave a Reply

  1. World Spinner 2010-10-20 at 17:52 - Reply

    Ideas for World Statistics Day | Portfolio Probe | Generate random ……

    Here at World Spinner we are debating the same thing……

Related posts

  • December 10, 2011

    The biggest and perhaps best meeting yet. The talks James Long: "Easy Parallel Stochastic Simulations using Amazon's EC2 & Segue".  This was a lively talk about James' package to [...]

  • December 5, 2011

    How do volatility estimates based on monthly versus daily returns differ? Previously The post "The mystery of volatility estimates from daily versus monthly returns" and its offspring "Another look [...]

  • November 30, 2011

    How does the effect of our expected returns change over time?  This is not academic  curiosity, we want to know in the context of our portfolio if we can.  [...]