CSCI 1109 - M23 - Sampling & bootstrapping in Python
In this module, we use sampling and bootstrapping in Python to make uncertainty feel concrete rather than abstract. Building on earlier work with descriptive statistics and distributions, you’ll simulate samples, repeatedly resample your data, and watch empirical sampling distributions emerge on screen. By the end, you’ll see how bootstrapping lets you build confidence intervals and reason about the stability of your estimates using code, not heavy formulas, and how these ideas support more careful data-driven decisions later in the course.
Course module page: https://web.cs.dal.ca/~rudzicz/Teachi...