(Conditional Probability)
(In Multiple Events)
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==In Multiple Events==
 
==In Multiple Events==
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<math> \bigcap_i A_i </math> For i \in S
  
 
==Conditional Probability==
 
==Conditional Probability==

Revision as of 10:13, 8 September 2008

Independence

In Two Events

$ P(A \bigcap B) = P(A) \times P(B) $

For example, given a coin, are the two outcomes independent?

$ P( \lbrace C_1=H \rbrace \bigcap \lbrace C_2 =H \rbrace ) $

[1]

In Multiple Events

$ \bigcap_i A_i $ For i \in S

Conditional Probability

A & B are conditionally independent given C if the following formula holds true.

$ P(A \bigcap B|C) = P(A|C) \times P(B|C) $

Alumni Liaison

Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

Dr. Paul Garrett