Notes and Guides

These notes serve as supplementary readings and may not necessarily align with lecture and textbook content. These notes aim to serve as a concise overview of course content, which you may find helpful during exam preparation or as a quick refresher.

• Sampling
• Variability of Samples
• Confidence Intervals
• Correlation and Linear Regression
• Classification

Other Resources

• Hypothesis Testing Guide
• JupyterHub Tips
• Arrays Primer
• Tables: Table Tutor, Tabular Thinking, Table Method Visualizer, Table Methods
• Table Method Animations: Group Animation, Join Animation, Pivot Animation