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5: Probability

Probability describes the chance an event occurs over the long run

\[ P(A)\in[0,1]\\\ P(A\mid B)=P(A)+P(B)\\\ P(!A)=1-P(A) \]

Law of large numbers: As the number of observations increases, the proportion of the occurrence approaches \(P(A)\)

Conditional Probability

Definitions

Or Condition

Probability of A or B occurring

If independent:

\[ P(A\cup B)=P(A)+P(B) \]

And Condition

Probability of A and B occurring

If independent:

\[ P(A \cap B)=P(A) \times P(B) \]

Given Condition

Probably of A given B has occurred.

\[ P(A \mid B) = \frac{P(A \cap B)}{P(B)} \]

Testing Independence