The document discusses mutually exclusive and non-mutually exclusive events. It provides examples to illustrate the difference, including examples involving drawing balls from a jar numbered 1-15 and rolling a die. It discusses how to calculate the probability of unions of events depending on whether they are mutually exclusive or not. Key points are that for mutually exclusive events, the probability of their union is the sum of their individual probabilities, while for non-mutually exclusive events it is the sum of their probabilities minus their intersection.
20. Given: A fair six-sided die is
rolled. What is the probability
that Mario will win if he
chooses:
a.Minor or Major?
b.Even or Minor
21. EVALUATION
Given: In a raffle draw. 20 balls are put
inside a jar numbered from 1-20. What is the
chance of winning if Maria beats money for
balls:
a. Even or divisible by 5.
b. Less than 5 or greater than 15.