Exam 02 review
Apr 07, 2026
Announcements
Lab 07 due TODAY at 11:59pm
Project:
Preliminary analysis due TODAY
Presentations April 14 & 16
Exam 02 April 9 (in-class), April 9 - 11 (take-home)
- Lecture recordings + practice questions available on website
Statistics experience due April 15
Exam 02
In-class (36 pts): 75 minutes during April 9 lecture
Take-home (14 pts): due April 11 at 11:59pm
Note from academic dean required to be excused from any part of the exam
Outline of in-class portion
Closed-book, closed-note.
Potential question types:
- Multiple choice
- Short answer (no more than 3 sentences)
- Interpretation
- Evaluate a response.
Analysis output included in the exam
Just need a pen or pencil. No calculator permitted on exam.
Don’t need to simplify responses (e.g., can leave the response as
3 + 2instead of5)
Outline of take-home portion
Released: April 9 after class
Due: April 11 at 11:59pm
Similar in format to a lab/ HW
- Will receive exam questions in README of GitHub repo
Push work to GitHub and submit a PDF of responses to Gradescope
Ed Discussion will be read-only during exam
Tips for studying
Review exercises in AEs and assignments, asking “why” as you review your process and reasoning
- e.g., Why do we include “holding all else constant” in interpretations?
Focus on understanding not memorization
Explain concepts / process to others
Ask questions in office hours, lab, Ed Discussion
Review prepare readings
Review lecture recordings, as needed (available until start of in-class exam)
Exam 02 content
Concepts from the first half of the semester continue to apply, but the exam will focus on new content since Exam 01.
Multicollinearity
Variable transformations
Model comparison
Cross validation
Probabilities, odds, odds ratios
Fitting and interpreting logistic models
Predicted probabilities and classification
ROC curve and AUC
Inference for logistic regression
Data science ethics (high level)
Causal inference (high level)
