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Beauty in maths topic

Statistics, Probability and AI

Statistics, probability and AI ask how we reason from uncertainty, data and repeated experiments.

6

live pages

6

prototype tools

6

planned ideas

What this area includes

Sampling, distributions and hypothesis testing

Monte Carlo simulation and random walks

Regression, overfitting and model choice

Optimisation and neural-network ideas

Questions to explore

What does the data support, and what does it not support?

How can randomness produce reliable patterns?

When does a model start learning noise instead of structure?

Working pages and tools

These are the pages currently available to open from this topic.

Planned directions

These ideas are not built yet, but they show where this topic could grow next.

ideaPlanned

Markov Chain Explorer

Planned lab linking probability, matrices and long-run behaviour in systems that move between states.

ideaPlanned

Neural Network Playground

Planned AI visualisation connecting functions, optimisation, data and model training.

ideaPlanned

Random Walks

Planned bridge from simple probability to diffusion, finance, physics and wandering paths.

ideaPlanned

A Level Hypothesis Testing Toolkit

Planned guide for binomial and normal tests, critical regions, p-values and careful conclusion writing.

ideaPlanned

A Level Modelling Assumptions Lab

Planned page asking students to choose, test and critique modelling assumptions in mechanics and statistics.

ideaPlanned

Hashing and Digital Fingerprints

Planned page about one-way functions, checksums, tamper detection and avalanche effects.

Connected topics

How to use this section

This area is increasingly important because it connects school mathematics to evidence, modelling and AI literacy.