Conditional Probabilities скачать в хорошем качестве

Conditional Probabilities

Conditional probability is a central idea, where we compute the probability of an event "A" occurring given that we also have information about an event "B" occurring. For example, if I roll a fair dice, event "A" might be that I roll a 6 and event "B" might be that I roll higher than a 3. If someone tells me that "B" definitely occurred, then it changes the probability of "A", now that I know that "B" is true. This will be a fundamental concept when we develop Bayesian statistics. This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company %%% CHAPTERS %%% 00:00 Intro 01:56 Defining P(A|B) 04:52 Example: Dice 06:37 Example: Cards 08:42 Example: Cancer Screening 11:19 Inference & Outro