The Foundation Series
The Foundation Series
Teaching
Projects
Random Number Generation
∝ Simulation Tests
Introduction: The Lady who Drank Tea There is a famous story about a lady who claimed that tea with milk tasted different depending on whether the milk was added to the tea or the tea added to the milk.
🃏 Permutation Test for Two Means
Introduction We saw from the diagram created by Allen Downey that there is only one test! We will now use this philosophy to develop a technique that allows us to mechanize several Statistical Models in that way, with nearly identical code.
Orange Tutorial
Radiant
R Tutorial
Sample Datasets
🃏 Permutation Test for Two Proportions
Introduction We saw from the diagram created by Allen Downey that there is only one test! We will now use this philosophy to develop a technique that allows us to mechanize several Statistical Models in that way, with nearly identical code.
Orange Tutorial
Radiant
R Tutorial
Sample Datasets
👟 Bootstrap Tests
Introduction Conclusion References
Orange Tutorial
Radiant
R Tutorial
Sample Datasets
🎲 Simulation Based Models
Introduction In this set of modules we will explore statistical models using Random Number Generation and Monte Carlo Simulations. The purpose is identical to that with classical tests: to estimate the value of a statistical parameter ( average / variation / correlation / relationships ) with confidence.
Last updated on Jul 21, 2024
Throwing Stones with Hamlet
Using Random Number generation to create orderly, natural looking textures, landscapes, and sounds
Last updated on Jul 21, 2024
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