Schedule#
Date |
# |
Topic(s) |
Covered in class |
Reading |
|
---|---|---|---|---|---|
Unit 1: |
Thinking about scale |
||||
Week 1 |
|||||
Monday |
3/31/25 |
1 |
Welcome to STATS 60! |
What is statistics all about? What to expect from the course. |
|
Wednesday |
4/2/25 |
2 |
Thinking about scale |
Contextualizing questions and ballpark estimates/Fermi problems |
Chapter 5 of “Calling Bullshit” |
Thursday |
4/3/25 |
- |
Discussion |
Fermi problem contest |
|
Friday |
4/4/25 |
3 |
Cost/benefit analysis; Quiz in class |
What should we recycle? Does your vote count? |
|
Unit 2: |
Probability |
||||
Week 2 |
|||||
Monday |
4/7/25 |
4 |
Intro to probability |
Modeling uncertainty. Probability in simple experiments. |
|
Wednesday |
4/9/25 |
5 |
Coincidences |
How surprising is a coincidence? The birthday paradox. |
|
Thursday |
4/10/25 |
- |
Discussion |
News scavenger hunt: probabilistic statements in the news |
|
Friday |
4/11/25 |
6 |
Conditioning and Bayes’ rule; Quiz in class |
Odds in games and gambling |
|
Week 3 |
|||||
Monday |
4/14/25 |
7 |
False negatives and false positives |
||
Wednesday |
4/16/25 |
8 |
Fallacies in conditional logic |
P[A|B] vs P[B|A], conjunction fallacy, “hot guys are jerks” |
|
Thursday |
4/17/25 |
- |
Discussion |
News scavenger hunt: conditional probabilities and fallacies |
|
Friday |
4/18/25 |
9 |
Fermi meets probability; Quiz in class |
Cost/benefit analysis with uncertainty. |
|
Unit 3: |
Exploratory Data Analysis |
||||
Week 4 |
|||||
Monday |
4/21/25 |
10 |
Data collection day |
||
Wednesday |
4/23/25 |
11 |
Data visualization |
||
Thursday |
4/24/25 |
- |
Discussion |
||
Friday |
4/25/25 |
12 |
Fundamental summary statistics part 1: Central tendency; Quiz in class |
Means and averages, median. |
|
Week 5 |
|||||
Monday |
4/28/25 |
13 |
Fundamental summary statistics part 2: Variability |
Standard deviation, variance, quantiles, multi-modal data |
|
Wednesday |
4/30/25 |
14 |
Same mean, different meaning |
Very different data with similar summary statistics—beware! Outliers and robustness. |
|
Thursday |
5/1/25 |
- |
Discussion |
||
Friday |
5/2/25 |
15 |
Fundamental summary statistics part 3: Correlation; Quiz in class |
Correlation and trends, scatterplots, regression. |
|
Unit 4: |
Correlation and Experiments |
||||
Week 6 |
|||||
Monday |
5/5/25 |
16 |
Sampling, variability, and sample bias |
How well does sample data reflect the ground truth? Independent or “random” samples vs. biased samples. |
|
Wednesday |
5/7/25 |
17 |
Polling and sample averages, part 1: the role of n |
Variability decreases with sample size (in class experiment). |
|
Thursday |
5/8/25 |
- |
Discussion |
||
Friday |
5/9/25 |
18 |
Polling and sample averages, part 2: confidence; Quiz in class |
Two standard deviations and the Normal/Bell curve. |
|
Week 7 |
|||||
Monday |
5/12/25 |
19 |
Hypothesis testing and p-values |
Statistical framework for testing, p-values |
|
Wednesday |
5/14/25 |
20 |
Testing for correlation |
Goodness-of-fit test |
|
Thursday |
5/15/25 |
- |
Discussion |
||
Friday |
5/16/25 |
21 |
Correlation vs. causation; Quiz in class |
||
Week 8 |
|||||
Monday |
5/19/25 |
22 |
Observational Studies and Randomized Experiments |
||
Wednesday |
5/21/25 |
23 |
Potential Outcomes Model |
||
Thursday |
5/22/25 |
- |
Discussion |
||
Friday |
5/23/25 |
24 |
Guest speaker; Quiz in class |
||
~~Monday~~ |
5/26/25 |
- |
~~MEMORIAL DAY, NO CLASS~~ |
||
Unit 5: |
Regression and Machine Learning |
||||
Week 9 |
|||||
Wednesday |
5/28/25 |
25 |
Linear regression |
Prediction and fitting a model to samples. |
|
Thursday |
5/29/25 |
- |
Discussion |
||
Friday |
5/30/25 |
26 |
Model size/type and expressiveness; Quiz in class |
Polynomial regression, relationship between model type and prediction ability. |
|
Week 10 |
|||||
Monday |
6/2/25 |
27 |
Markov text generators |
||
Wednesday |
6/4/25 |
28 |
Outtro |
||
Finals week |
|||||
Monday |
6/9/25 |
Final Exam, location TBA |