The objective of the labs is to give you hands on experience with data analysis using modern statistical software. We will use a statistical analysis platform called RStudio, which is a front end for the R statistical language.
The content of all the labs are posted in the table below. You are encouraged to do the lab work on your own (or work together with other students) even if you are not able to attend the lab session.
During the lab sessions, the TAs will give a 10-15 minutes overview of the lab and learning goals, and guide you through some of the exercises. The lab sessions are then followed by a 60 mins homework help session. You are encouraged to preview the content and/or start early and bring in questions to the sessions.
| Lab | Time | Subjects (Click on the subjects below to view content) |
|---|---|---|
| 1 | Week 0 & 1 | Introduction to R and RStudio |
| 2 | Week 1 | Exploring Numerical Data |
| 3 | Week 2 | Exploring Categorical Data |
| 4 | Week 3 | Law of Large Numbers |
| 5 | Week 4 | Normal Distributions |
| 6 | Week 6 | Foundations of Statistical Inference: Sampling Distributions |
| 7 | Week 7 | Confidence Intervals |
| 8 | Week 8 | Inference for Numerical Data |
| 10 | Week 9 | Introduction to linear regression |