This document discusses key concepts in probability theory including sample space, events, complements of events, intersections and unions of events, mutually exclusive events, permutations, combinations, theorems, and the additive rule of probability for both mutually exclusive and non-mutually exclusive events. It defines probability as the study of chances of occurrence of any event and provides the formula for calculating probability.

1. SAMPLE SPACE
EVENT
COMPLEMENT OF AN EVENT

2. INTERSECTION OF TWO EVENTS
MUTUALLY EXCLUSIVE EVENT (DISJOINT EVENT)
UNION OF TWO EVENTS

5. PERMUTATION
THEOREM 1

6. THEOREM 2
THEOREM 3
THEOREM 4
THEOREM 5
THEOREM 6
COMBINATION

8. PROBABILITY
It is defined as the study of chances of occurrence of any Event.
𝑃𝑟𝑜𝑏𝑎𝑏𝑖𝑙𝑖𝑡𝑦 =
𝐹𝑎𝑣𝑜𝑟𝑎𝑏𝑙𝑒 𝐸𝑣𝑒𝑛𝑡
𝑆𝑎𝑚𝑝𝑙𝑒 𝑆𝑝𝑎𝑐𝑒
ADDITIVE RULE OF PROBABILITY
1. Not Mutually Exclusive Events
2. Mutually Exclusive Events

9. Not Mutually Exclusive Events
Mutually Exclusive Events