math: add conditional probability
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Events $A$ and $B$ are **exhaustive** if their union includes all possible outcomes in the sample space: $A\cup B=U$.
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Events $A$ and $B$ are **exhaustive** if their union includes all possible outcomes in the sample space: $A\cup B=U$.
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$$P(A\cup B)=1$$
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$$P(A\cup B)=1$$
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The **principle of inclusion and exclusion** forms a general rule for the union between two sets:
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The **principle of inclusion and exclusion** forms a general rule for the union between two *independent* events:
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$$P(A\cup B)=P(A)+P(B)-P(A\cap B)$$
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$$P(A\cup B)=P(A)+P(B)-P(A\cap B)$$
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### Conditional probability
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A vertical bar is used between two events to denote that the event on the left occurs knowing that the right has already occurred.
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$$P(A|B) = \frac{P(A\cap B)}{P(B)}$$
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!!! example
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$P(A|B)$ is the probability of event $A$ given $B$ has occurred.
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## Resources
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## Resources
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- [IB Math Analysis and Approaches Syllabus](/resources/g11/ib-math-syllabus.pdf)
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- [IB Math Analysis and Approaches Syllabus](/resources/g11/ib-math-syllabus.pdf)
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