User contributions for Benjamin Mako Hill
From CommunityData
7 February 2021
- 22:2122:21, 7 February 2021 diff hist +4,661 N Statistics and Statistical Programming (Winter 2021)/Problem set 12 updated problem set 12
- 22:1922:19, 7 February 2021 diff hist 0 Statistics and Statistical Programming (Winter 2021) →Day 13: Monday February 22: Linear regression
- 22:1922:19, 7 February 2021 diff hist +9 Statistics and Statistical Programming (Winter 2021) →Day 18: Wednesday March 10: Final Presentations
- 22:1822:18, 7 February 2021 diff hist 0 Statistics and Statistical Programming (Winter 2021) →Day 16: Wednesday March 3: Applied multiple and logistic regression
- 22:1822:18, 7 February 2021 diff hist 0 Statistics and Statistical Programming (Winter 2021) →Day 14: Wednesday February 24: Applied linear regression
- 22:1822:18, 7 February 2021 diff hist +333 Statistics and Statistical Programming (Winter 2021) →Day 12: Wednesday February 17: Inference for numerical data (t-tests, power analysis, ANOVA)
- 22:1722:17, 7 February 2021 diff hist +103 Statistics and Statistical Programming (Winter 2021) →Schedule
1 February 2021
- 19:4419:44, 1 February 2021 diff hist +134 Statistics and Statistical Programming (Winter 2021) →Textbook, readings, and resources
31 January 2021
- 03:0703:07, 31 January 2021 diff hist −11 Statistics and Statistical Programming (Winter 2021) →Day 11: Wednesday February 10: Applied inference for categorical data
- 00:3300:33, 31 January 2021 diff hist +17 Statistics and Statistical Programming (Winter 2021) →Day 13: Monday February 22: t-tests, power analysis, ANOVA
- 00:3300:33, 31 January 2021 diff hist +4 Statistics and Statistical Programming (Winter 2021) →Day 11: Wednesday February 10: Applied inference for categorical data
- 00:3200:32, 31 January 2021 diff hist 0 Statistics and Statistical Programming (Winter 2021) →Day 11: Wednesday February 10: Applied inference for categorical data
- 00:3200:32, 31 January 2021 diff hist +313 Statistics and Statistical Programming (Winter 2021) →Day 11: Wednesday February 10: Applied inference for categorical data
- 00:3100:31, 31 January 2021 diff hist −57 Statistics and Statistical Programming (Winter 2021) →Day 9: Wednesday February 3: Reinforced foundations for inference
- 00:2100:21, 31 January 2021 diff hist −20 Statistics and Statistical Programming (Winter 2021) →Day 11: Wednesday February 10: Applied inference for categorical data
- 00:1800:18, 31 January 2021 diff hist +9 Statistics and Statistical Programming (Winter 2021)/Problem set 11 →Empirical Paper Questions (with Statistical Questions baked in)
- 00:1700:17, 31 January 2021 diff hist +161 Statistics and Statistical Programming (Winter 2021)/Problem set 11 →PC1. Access and import the data
- 00:1600:16, 31 January 2021 diff hist +4 Statistics and Statistical Programming (Winter 2021)/Problem set 11 →Programming Challenges
- 00:1500:15, 31 January 2021 diff hist +5,135 N Statistics and Statistical Programming (Winter 2021)/Problem set 11 Created page with "Overall, the focus this week is on practical issues in applied analysis of categorical data. Specifically, issues that sometimes arise in the context of conducting <math>\chi^..."
- 00:1500:15, 31 January 2021 diff hist −116 Statistics and Statistical Programming (Winter 2021) →Day 11: Wednesday February 10: Applied inference for categorical data
- 00:1400:14, 31 January 2021 diff hist −37 Statistics and Statistical Programming (Winter 2021) →Day 10: Monday February 8: Inference for categorical data
- 00:1200:12, 31 January 2021 diff hist +7 Statistics and Statistical Programming (Winter 2021)/Problem set 9 →Programming Challenges current
27 January 2021
- 15:0815:08, 27 January 2021 diff hist 0 Statistics and Statistical Programming (Winter 2021)/Problem set 7 →PC2. Learn about the Open Policing data current
26 January 2021
- 22:5422:54, 26 January 2021 diff hist +306 Statistics and Statistical Programming (Winter 2021)/Problem set 7 →PC5. Analyze relationships between driver race/ethnicity and vehicle searches over time
- 22:4722:47, 26 January 2021 diff hist +81 Statistics and Statistical Programming (Winter 2021)/Problem set 7 →PC5. Analyze relationships between driver race/ethnicity and vehicle searches over time
- 19:4019:40, 26 January 2021 diff hist +2 Statistics and Statistical Programming (Winter 2021)/Problem set 7 →PC4. Summarize aggregate relationships between outcome and predictor variables
- 19:4019:40, 26 January 2021 diff hist +11 Statistics and Statistical Programming (Winter 2021)/Problem set 7 →PC5. Analyze relationships between driver race/ethnicity and vehicle searches over time
24 January 2021
- 18:0218:02, 24 January 2021 diff hist −9 Statistics and Statistical Programming (Winter 2021) →Day 7: Wednesday January 27: Descriptive analysis and visualization
- 18:0118:01, 24 January 2021 diff hist +14 Statistics and Statistical Programming (Winter 2021) →Day 5: Wednesday Janaury 20: Probability and R fundamentals
- 18:0118:01, 24 January 2021 diff hist 0 Statistics and Statistical Programming (Winter 2021) →Day 2: Wednesday January 6: Data and R
- 18:0118:01, 24 January 2021 diff hist 0 Statistics and Statistical Programming (Winter 2021) →Day 3: Monday January 11: Numerical and categorical data
- 18:0018:00, 24 January 2021 diff hist +14 Statistics and Statistical Programming (Winter 2021) →Day 4: Wednesday January 13: Applied data manipulation
- 17:5817:58, 24 January 2021 diff hist +14 Statistics and Statistical Programming (Winter 2021) →Day 3: Monday January 11: Numerical and categorical data
- 17:5817:58, 24 January 2021 diff hist +14 Statistics and Statistical Programming (Winter 2021) →Day 2: Wednesday January 6: Data and R
23 January 2021
- 23:3623:36, 23 January 2021 diff hist +15 Statistics and Statistical Programming (Winter 2021) →Day 11: Wednesday February 10: Applied inference for categorical data
- 23:3523:35, 23 January 2021 diff hist −30 Statistics and Statistical Programming (Winter 2021) →Day 11: Wednesday February 10: Applied inference for categorical data
- 22:2722:27, 23 January 2021 diff hist +102 Statistics and Statistical Programming (Winter 2021) →Day 6: Monday January 25: Distributions
- 22:2322:23, 23 January 2021 diff hist −24 Statistics and Statistical Programming (Winter 2021)/Problem set 9 No edit summary
- 22:2222:22, 23 January 2021 diff hist +382 Statistics and Statistical Programming (Winter 2021) →Day 9: Wednesday February 3: Reinforced foundations for inference
- 22:2222:22, 23 January 2021 diff hist −420 Statistics and Statistical Programming (Winter 2021) →Day 7: Wednesday January 27: Descriptive analysis and visualization
- 22:1822:18, 23 January 2021 diff hist −68 Statistics and Statistical Programming (Winter 2021) →Day 7: Wednesday January 27: Descriptive analysis and visualization
- 22:1722:17, 23 January 2021 diff hist +7 Statistics and Statistical Programming (Winter 2021) →Day 7: Wednesday January 27: Descriptive analysis and visualization
- 22:1722:17, 23 January 2021 diff hist +253 Statistics and Statistical Programming (Winter 2021) →Day 9: Wednesday February 3: Reinforced foundations for inference
- 22:1522:15, 23 January 2021 diff hist −64 Statistics and Statistical Programming (Winter 2021)/Problem set 9 No edit summary
- 22:1422:14, 23 January 2021 diff hist −7 Statistics and Statistical Programming (Winter 2021)/Problem set 9 →RQ2. Emotional contagion (revisited)
- 22:1222:12, 23 January 2021 diff hist −112 Statistics and Statistical Programming (Winter 2021)/Problem set 9 →(Recommended) PC6. A simulation
- 22:1222:12, 23 January 2021 diff hist −6 Statistics and Statistical Programming (Winter 2021)/Problem set 9 →PC4. Compare distributions
- 22:1122:11, 23 January 2021 diff hist +63 Statistics and Statistical Programming (Winter 2021)/Problem set 9 →PC3. Confidence interval of a mean
- 22:1122:11, 23 January 2021 diff hist +14 Statistics and Statistical Programming (Winter 2021)/Problem set 9 →Interpret the comparison
- 22:1022:10, 23 January 2021 diff hist +7 Statistics and Statistical Programming (Winter 2021)/Problem set 9 →Interpret the comparison