• independent event - an event that is not influenced by another event
• disjoint event - mtually exclusive
• law of large numbers - in probability, more trials matches the experimental probability to the theoretical probability
• union - $\cup$ "or"
• intersection - $\cap$ "and"
• complement - $A^c$ "not"

• addition rule - $P(A) + P(B) = P(A \cup B)$ if A and B are mutually exclusive

  • otherwise, $P(A) + P(B) - P(A \cap B) = P(A \cup B)$
• multiplication rule - $P(A)P(B) = P(A \cap B)$

If two events A and B are independent, then

\[ P(A | B) = P(A) \]

or "probability of A given B is equal to probability of A"

The probability of A should be the same whether or not the event B will occur.