Chi-Square Distribution Visualizer

OUTPUT: χ² = Σ Z² Adjust k to see how summing more squared normal variables shifts the distribution right and reduces skew. Chi-Square Distribution Visualizer lets you explore this hands-on instead of only reading about it.

Testing for relationships between categorical variables and goodness-of-fit. It focuses on Goodness-of-Fit, Test of Independence, Contingency Tables, Degrees of Freedom from the “The Chi-Square Distribution” section.

The “Simulation Speed” slider change the key inputs; the “Drop 1 Sample”, “Auto: Off”, “Reset” buttons run actions or reset the demo. Every change updates the visualization in real time, so you can see exactly how each variable affects the outcome.

Introductory Statistics 2e is a comprehensive, open-source course designed for a one-semester introduction to statistics. The curriculum focuses on practical applications across diverse fields such as business, healthca… This demo is the interactive piece for the “The Chi-Square Distribution” section. Open the full Introductory Statistics course wiki at https://www.getlykke.com/explore/public/introductory-statistics-a4146afb-5db4-4b78-bb6a-8cef9d5ce9e0 for notes, flashcards, quizzes and the other demos.

You'll build intuition for Goodness-of-Fit, Test of Independence, Contingency Tables, Degrees of Freedom — and, crucially, see how they behave when you change the inputs, which is hard to get from a textbook or lecture on Introductory Statistics alone.