Hypothesis Testing Revisited: Normal, t, and Chi-Squared Distribution Tests @Eigensteve

Uploaded January 2026 | Updated September 2026, 2 weeks ago

Here we summarize various aspects of hypothesis testing, now that we know more about the key distributions.

This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company

%%% CHAPTERS %%%
00:00 Intro
00:46 Review: Normal Tests
04:51 Review: t Distribution Tests
07:24 Review: Chi-Squared Tests
08:56 Summary & Outro

Hypothesis Testing Revisited: Normal, t, and Chi-Squared Distribution Tests

Neural Network Control in Collimator 2.0 & New Educational Videos!!!

High-Order Ordinary Differential Equations with More Derivatives (from Physics)

Covariance and Correlation: Example with Gaussian Distributions

PyDMD: A Python Package for Dynamic Mode Decomposition (DMD)

Solving General High-Order, Linear Ordinary Differential Equations (ODEs)

Drawing Phase Portraits for Nonlinear Systems

Mode Sensitivity for Fluid Flows via Lagrangian Coherent Structures

Systems of Differential Equations with Forcing: Example in Control Theory

Coding a Fourth-Order Runge-Kutta Integrator in Python and Matlab

The Hartman-Grobman Theorem, Structural Stability of Linearization, and Stable/Unstable Manifolds