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| == 10/29 Agenda == | | == 10/27 Agenda == |
| | * Pset 5 |
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| * OS Ch 7 exercises
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| ** What to do with/about violations of assumptions? (e.g., 7.12b)
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| ** Causality (again)
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| *** 7.12c: Did the lead do it?
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| *** Trick-or-treating experiment from Aronow et al. (Tuesday): did the treatment do it?
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| * T-tests "in the wild"
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| ** What should/can you do with this test?
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| ** What concerns should you have / take into account?
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| * Big picture considerations revisited:
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| ** What to do with any test?
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| ** 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)?
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| * Self-assessment exercise demo/introduction
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| == 10/27 Agenda ==
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| * Pset 5 PCs
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| ** PC4: interpreting the results of this chi-squared test
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| ** plotting error bars, and walking through some of the techniques Aaron used in the PC5 solution
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| ** review: calculating standard errors.
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| *** What if don't have raw data (EQ2)
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| *** Should I use special formulas from a textbook (such as the formula for SE of a proportion) or the default formula (sd / sqrt(n) )?
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| ** Other questions?
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| * Pset 5 EQs
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| ** Base rate fallacy
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| *** Review the definition
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| *** How concerned should we be?
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| ** P-values
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| *** the "strength" of relationships
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| *** significance of differences rather than differences in significance
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| ** Chi-squared in particular
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| *** Goodness of fit? Test if the distribution fits the data?
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| * Meta-questions (many via Gus's comments)
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| ** The practical the purpose of a statistical test (is to find the p-value)?
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| ** What should you ask about any test?
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| ** What do we know about causality from any of these tests?
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| * Other questions
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| * Upcoming | | * Upcoming |
| ** Project plans
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| ** Stats material this week
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| ** Assessment coming. Discuss some details, goals of the activity, etc.
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| ** No problem set is due on Nov. 3 (election day!)
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