Engineering Mathematics · topic
Axioms and the addition rule, conditional probability, multiplication rule, independence of two and of several events, mutually exclusive versus independent, total probability, Bayes theorem with trees, and classical counting probability.
Probability measures how likely an uncertain outcome is, on a scale from 0 to 1. Impossible events have probability 0 and the certain event has probability 1; in general these values mean almost never/almost surely, not necessarily an empty/full event.
New information changes probabilities. Knowing that a test came back positive, that a packet arrived late, or that the first card drawn was an ace, we should update how likely the other events are. Conditional probability is the rule for that update.
One-page visual sheets for this topic, in the sheet library on the store. Previews are free; the full sheets come with the subject pack.
