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 package 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 guiding you through some of the exercises. Students will then work on their own. The TAs will walk around the classroom answering questions. The labs are designed to take more than one hour. So you are encourage preview the content and/or start early nd bring in questions to the sessions.
| Lab | Subjects (Click on the subjects below to view content) |
|---|---|
| 1 | Introduction to R and RStudio |
| 2 | Exploring Numerical Data |
| 3 | Exploring Categorical Data |
| 4 | TBA |
| 5 | Normal Distributions |
| 6 | Foundations of Statistical Inference: Sampling Distributions |
| 7 | Confidence Intervals |
| 8 | Inference for Numerical Data |
| 9 | Inference for Categorical Data |