States and Transitions

A memory of one day

An interactive lesson with 6 steps, about 5 minutes: you predict, drag and solve, with instant feedback on every answer. It runs in your browser and needs JavaScript.

What you’ll learn

• A Markov chain moves between states with fixed transition probabilities.
• Markov property: the next state depends only on the current one.
• A path’s probability is the product of its transition probabilities.

Steps

1. Tomorrow’s weather
2. Rain tomorrow
3. A sunny week
4. Longer spells
5. Is it Markov?
6. Rain, then sun