Conditional Probability Explained: Examples with Playing Cards. скачать в хорошем качестве

Conditional Probability Explained: Examples with Playing Cards.

This video uses a 52-card deck of playing cards to explain the concept of "Conditional Probability" The conditional probability of an event is how likely that event is, given known information. The known information reduces the total number of possible outcomes. 00:00 Unconditional Probabilities (when drawing a card) 01:15 Conditional Probabilities 03:24 A Way to Think About Conditional Probabilities 05:15 Finding More Conditional Probabilities (when drawing a card) 07:36 Conditional Probability Using "or" When drawing a playing card from a shuffled deck, every card is equally likely. So the probability of an event can be found by counting the number of ways that event can happen, and dividing by the total number of possible outcomes. The examples in this video all use the 52-card deck typically used in the USA. https://en.wikipedia.org/wiki/Standar... https://en.wikipedia.org/wiki/Standar... ___________________________ Description of the 52 Cards ___________________________ 52 cards evenly split into the following 4 suits w/ 13 cards each. "hearts", "diamonds", "clubs", "spades" The suits are colored red - "hearts", diamonds" black - "clubs", "spades" Within each suit there are 13 cards: 4 face cards - {Jack, Queen, King, Ace} (Fun fact: The Ace is called a "face" card even though it doesn't have a face on it!) 9 numbered cards - {2, 3, 4, 5, 6, 7, 8, 9, 10}