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

From CommunityData

## 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?

- Base rate fallacy
- 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!)