Title: Week 16 — every "this is rigged" argument, settled with one number
Course: Introduction to Statistics (18-Week Generic Edition)

Hi everyone,

Quick gut-check: is there something you're privately sure is rigged? The candy bag that shorts your favorite color, the vending machine that eats your coins, the weekday your bus always lets you down? This week you get the tool that settles exactly those arguments — the chi-square test, the machine that judges a whole table of category counts at once.

This week — Chi-Square Tests for Categorical Data — we tackle the big question: when your counts don't match a claim, is that ordinary luck or real evidence? Last week you tested proportions one at a time; now entire tables go on trial — a claimed candy mix, a store's weekday traffic, pets by housing type — using one statistic, χ², and the critical-value table in Chapter 16.

Three things not to miss: 1. Chapter 16 is your primary reading — it carries the week's critical-value mini table, so start there; every other item leans on it. 2. Data Lab 16 brings back our penguins one more time before the finale: you'll build the species × island table from the raw data and run a full test of independence on it. Your chi-square will land near 300 — the biggest of the term — and the best part is explaining what it does and doesn't prove. Due at the end of Week 16. 3. Discussion 16 ("Rigged, or Random?") wants your initial post two days before the week ends — bring your own rigged theory and put it on trial.

Plus the usuals: Lecture Tutorial 16 (your chatbot becomes a chi-square tutor — share link + summary), Quiz 16 (closed to AI), and Assignment 16 ("The Claim vs. the Counts", AI-coached with retries).

One heads-up carried over from last week's momentum: after this, only regression remains — then the cumulative final (a low-stakes checkpoint; its whole prep bundle lives in the Week 18 module). You are one tool away from the complete kit.

Open the Start Here / Module Overview page first — it lays out everything in order with due points. Bring a "rigged" theory you're willing to test.

See you in the course!