Questions from the Homework

  1. Professionalization, big-picture questions.
  2. Conceptual questions.
  3. Detailed, in-the-weeds, technical questions.

A Bit of Catch-Up

  1. Talk about causality versus description. The notes on questions are here. The slides on causal inference are here.
  2. Show and example of R Projects (i.e., the .Rproj file) and loading data.
  3. Talk about data frames in R. The slides are here

New Material

  1. The big picture for the remainder of the course.
    1. How can we summarize a collection of numbers? (Part 1)
    2. How can we summarize a collection of random draws from a known urn? (Part 2a)
    3. How can we guess the urn given a collection of random draws? (Part 2b)
    4. A redo of 2a, mathematically. (Part 3a)
    5. A redo of 2b, mathematically. (Part 3b)
  2. How tall are the bars of a histogram?
    1. personal space exercise
    2. forearm span exercise
  3. Live coding with R based on the notes on histograms (currently ch. 4).
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Carlisle Rainey