Statistics and Statistical Programming (Fall 2020)/w07 session plan

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< Statistics and Statistical Programming (Fall 2020)
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10/29 Agenda[edit]

  • OS Ch 7 exercises
    • What to do with/about violations of assumptions? (e.g., 7.12b)
    • Causality (again)
      • 7.12c: Did the lead do it?
      • Trick-or-treating experiment from Aronow et al. (Tuesday): did the treatment do it?
  • T-tests "in the wild"
    • What should/can you do with this test?
    • What concerns should you have / take into account?
  • Big picture considerations revisited:
    • What to do with any test?
    • How do I know whether I'm using "the right" test when there are seemingly no rules and/or whatever rules exist seem to be breakable (sometimes)?
  • Self-assessment exercise demo/introduction

10/27 Agenda[edit]

  • Pset 5 PCs
    • PC4: interpreting the results of this chi-squared test
    • plotting error bars, and walking through some of the techniques Aaron used in the PC5 solution
    • review: calculating standard errors.
      • What if don't have raw data (EQ2)
      • Should I use special formulas from a textbook (such as the formula for SE of a proportion) or the default formula (sd / sqrt(n) )?
    • Other questions?
  • Pset 5 EQs
    • Base rate fallacy
      • Review the definition
      • How concerned should we be?
    • P-values
      • the "strength" of relationships
      • significance of differences rather than differences in significance
    • Chi-squared in particular
      • Goodness of fit? Test if the distribution fits the data?
  • Meta-questions (many via Gus's comments)
    • The practical the purpose of a statistical test (is to find the p-value)?
    • What should you ask about any test?
    • What do we know about causality from any of these tests?
  • Other questions
  • Upcoming
    • Project plans
    • Stats material this week
    • Assessment coming. Discuss some details, goals of the activity, etc.
    • No problem set is due on Nov. 3 (election day!)