KB

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- Agile Mind Page 193
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- Conditional Probability
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- Conditional probability is the probability of one event occurring with a relationship to one or more other events
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- We write it as P(Event | Given)
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- For example, If we see the statement P(over 6 ft tall | on the basketball team)
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- "What is the probability that someine is over 6 feet tall given that they are on the basketball team"
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- What is the difference between the following statements.
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- P(red car | 2-door)
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- P(2-door | red car)
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- The way we calculate a conditional Probability uses the formula
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- P(B|A)
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- =
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- U
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- P(A B)
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- P(A)
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- AM Pg 195
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- P(1st)
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- =
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- 325
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- 2201
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- =0.147 = 14.7%
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- P (Survived)=
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- 711
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- 2201
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- = 32.3 %
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- P(1st Survived)
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- U
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- =
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- 203
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- 2201
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- =0.092 = 9.2%
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- P(1st | Survived)
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- P(Survived 1st)
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- =
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- U
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- =203
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- P(Survived)
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- =711
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- =0.285 = 28.5 %
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- P( 1st U Survived) =
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- OR
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- P (AUB) = P(A) +P(B)-P(A B)
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- U
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- 325 2201
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- +
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- 711 2201
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- -
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- 203 2201
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- =
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- 833 2201
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- 0.378 = 37.8%
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- If you have any questions please let me know!