Exam 01 review
Announcements
Lab 03 due TODAY at 11:59pm
Project topics due Sunday, February 16 at 11:59pm
Monday’s lab: Exam 01 office hours
No office hours February 19 - 20
Exam 01
50 points total
in-class: 35 points
take-home: 15 points
In-class: 75 minutes during February 18 lecture
Take-home: due February 20 at 9pm (no lecture on Thursday)
If you miss any part of the exam for an excused absence (with academic dean’s note), your Exam 02 score will be counted twice
Outline of in-class portion
Closed-book, closed-note.
Potential question types:
- Multiple choice
- Short answer (no more than 3 sentences)
- True/ False.
- If false, write 1 - 2 sentence justification about why it is false.
- Evaluate a response.
Analysis output included in the exam
Just need a pen or pencil. No calculator permitted on exam.
Outline of take-home portion
Released: Tuesday, February 18 right after class
Due: Thursday, February 20 at 9pm (no lecture February 20)
Similar in format to a lab/ HW
Will receive Exam questions in README of GitHub repo
Formatting + using a reproducible workflow will be part of grade
Submit a PDF of responses to GitHub
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
Review lecture recordings as needed
Content: Weeks 1 - 6
Exploratory data analysis
Fitting and interpreting simple linear regression models
Statistical models and regression equations
Simulation-based inference
Mathematical models for inference
Fitting and interpreting multiple linear regression
Prediction
Different types of predictors
Model evaluation and comparison