This topic introduces the multiplication rules for Independent & Dependent Events.
At the end of this lesson, you should be able to
Independent Events
Two events A and B are independent if the probability of one event occurring does not affect the probability of the other event occurring.
Example: In tossing a coin and rolling dice, Events A (tossing a coin)and B (rolling a dice) are said to be independent since outcome of A does NOT affect probability of B.
Multiplication rules can be used to find probability of two or more events that occur in sequence.
Example:
A survey by the Raffles Club revealed 60% of its members made airline reservations last year. Two members, R1 and R2 are selected at random. What is the probability both of them made airline reservations last year?
Dependent Events
Two events A and B are dependent if the probability of one event if outcome of first event A affects probability of second event B.
Example of a Dependent Event is drawing two cards from a deck of 52 poker cards without replacement. Let B be the event that the first card is an ace of heart, A be the event that the second card drawn is an ace.
Multiplication rules can be used to find probability of two or more events that occur in sequence.
