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

10/29 Agenda

 * 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

 * 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!)