Information
Instructional Team:
- Instructor: Sunny Agrawal
- Lab TA: Kejin Wu
- A00 TAs: Yuchao Yi (A01-2), Silvia Liu (A03-4), Lizzy Coda (A05-6), Zequn Zheng (A07-8)
- B00 TAs: Chi Zhang (B01-2, B05-6), Jiacheng Zhang (B03-4)
Class Communication: Zulip
Class, Discussion, and Office Hours: Calendar
Assignments: Reading Assignments, Reflection Assignments, Exams, Labs
Miscellaneous: Gradescope, Canvas, Voting Flashcard
Deadlines and Submissions:
- RAs are due at 7am PT. Everything else is due at
11:59pm PT.
- Submit everything except the RQs, WRs, and Ls through Gradescope.
- RAs are due at 7am PT. Everything else is due at
11:59pm PT.
Schedule
W | Mon | Wed | Fri |
---|---|---|---|
1 |
Introduction Class: S |
Data Basics Class: SDue: RA |
Summarizing Data 1 Class: SDue: RA, L, MA |
2 |
Summarizing Data 2 Class: SDue: RA |
Probability Basics Class: SDue: RA |
Conditional Probability Class: SDue: RA, L, WR, OO |
3 |
Bayes’ Rule Class: SDue: RA |
Random Variables Class: SDue: RA |
Bernoulli, Geometric, and Poisson Distributions Class: SDue: RA, L, WR |
4 |
Review Class: S |
Midterm 1 |
Normal Distribution Class: SDue: RA, WR |
5 |
Binomial Distribution Class: SDue: RA |
Uniform and Exponential Distributions Class: SDue: RA |
Sampling Distribution Due: RA, L, WR |
6 |
Hypothesis Testing: 1 Binary Variable Class: SDue: RA |
Being Careful about Statistical Inference Class: SDue: RA, MTC |
Confidence Intervals: 1 Numerical Variable Class: SDue: RA, L, WR |
7 |
Hypothesis Testing: 1 Numerical Variable Class: SDue: RA |
Inference: 1 Categorical Variable Class: SDue: RA |
Inference: 2 Binary Variables Class: SDue: RA, L, WR |
8 |
Review Class: S |
Midterm 2 |
(No Class) Due: WR |
9 | (Memorial Day) |
Inference: 1 Numerical and 1 Binary Variable Class: SDue: RA |
Inference: 2 Categorical Variables Class: SDue: RA, L, WR |
10 |
Inference: 2 Numerical Variables Class: SDue: RA |
Review Class: SDue: MTC |
(No Class) Due: L, FR |
11 | Final Exam |