Discrete random variables and their probability distributions

Mathematical Methods: Units 3 and 4

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Chapters

Introduction

Description

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.
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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)

Video tags

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