Sample spaces and probability
Discrete random variables and their probability distributions
Mathematical Methods: Units 3 and 4
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Introduction
This video recaps all the exciting terminology which is needed to be able to answer (pretty much) every probability question on the planet. Well, maybe not every one! But a lot. I do all I can to make it amusing and real world. That's pretty hard with this rather dry subject! The language of probability is really important. This video looks at the areas shown in the key points below. ** Key points: Sample spaces and events (0:58) Random experiments (2:55) Venn Diagrams (2:40) Unions and Intersections (4:40) Addition Rule for Probability (5:54) Tree Diagrams (8:02) What leads to equally likely outcomes (10:20) Complements (11:05) What it means to be a subjective probability (12:00) Finding probabilities from Areas (13:32) What a probability table is (Karnaugh map) (14:35)
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probability (measurement system) sample space sample space and probability sample space and events sample space events and probability sample space tree diagram What is a sample space What is a random experiment Unions and probability Intersections and probability Tree diagram Complements addition rule for probability mutually exclusive karnaugh map