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

== 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!)
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-== 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