1. Probability of Compound Events

2. Review of Simple Probability The probability of a simple event is a ratio of the number of favorable outcomes for the event to the total number of possible outcomes of the event. The probability of an event a can be expressed as:

3. Find Outcomes of simple events For Simple Events – count the outcomes Examples: One Die- 6 outcomes One coin- 2 outcomes One deck of cards- 52 outcomes One fair number cube- 6 outcomes

4. Finding Outcomes of more than one event The total outcomes of each event are found by using a tree diagram or by using the fundamental counting principle. Example: At football games, a student concession stand sells sandwiches on either wheat or rye bread. The sandwiches come with salami, turkey, or ham, and either chips, a brownie, or fruit. Use a tree diagram to determine the number of possible sandwich combinations.

5. Tree diagram with sample space

6. Answer Using the fundamental counting principle bread x meat x side 2 x 3 x 3 = 18 outcomes

7. Probability of Compound Events A compound event consists of two or more simple events. Examples: rolling a die and tossing a penny spinning a spinner and drawing a card tossing two dice tossing two coins

8. Compound Events When the outcome of one event does not affect the outcome of a second event, these are called independent events. The probability of two independent events is found by multiplying the probability of the first event by the probability of the second event.

9. Compound Event Notations

10. S T R O P 1 2 3 6 5 4 Example: Suppose you spin each of these two spinners. What is the probability of spinning an even number and a vowel? P(even) = (3 evens out of 6 outcomes) (1 vowel out of 5 outcomes) P(vowel) = P(even, vowel) = Independent Events Slide 10

11. Find the probability P(jack, factor of 12) 4 52 5 8 x= 5 104 Independent Events Slide 11

12. Find the probability P(6, not 5) 1 6 5 6 x= 5 36 Independent Events Slide 12

13. Probability of Compound events P(jack, tails)

14. Dependent Event What happens during the second event depends upon what happened before. In other words, the result of the second event will change because of what happened first. The probability of two dependent events, A and B, is equal to the probability of event A times the probability of event B. However, the probability of event B now depends on event A. Slide 14

15. Dependent Event Example: There are 6 black pens and 8 blue pens in a jar. If you take a pen without looking and then take another pen without replacing the first, what is the probability that you will get 2 black pens? P(black second) = (There are 13 pens left and 5 are black) P(black first) = P(black, black) = THEREFORE……………………………………………… Slide 15

16. Practice 1. P(heads, hearts) = 2. P(tails, face card) =

17. Your turn Create your own independent compound event problem. Then, exchange with your seat partner.