1. Warm-up 7/20 3/5 3/4 Male 20 15 10 Female 25 McDonald’s Burger King
The following table shows the number of people that like a particular fast food restaurant.
What is the probability that a person likes Wendy’s?
What is the probability that a person is male given they like Burger King?
3. What is the probability that a randomly chosen person is female or likes McDonald’s?
McDonald’s
Burger King
Wendy’s
Male 20 15 10
Female 25
7/20
3/5
3/4

2. Independent vs. Dependent events
Probability
Independent vs. Dependent events

3. Independent Events
Two events A and B, are independent if the fact that A occurs does not affect the probability of B occurring.
Examples- EX 1. Landing on heads from two different coins; EX 2. rolling a 4 on a die, then rolling a 3 on a second roll of the die.
Probability of A and B occurring:
P(A and B) = P(A)  P(B)

4. Experiment 1
A coin is tossed and a 6-sided die is rolled. Find the probability of landing on the head side of the coin and rolling a 3 on the die.
P (head)=1/2
P(3)=1/6
P (head and 3)=P (head)  P(3)
=1/2  1/6
= 1/12

5. Experiment 2
A card is chosen at random from a deck of 52 cards. It is then replaced and a second card is chosen. What is the probability of choosing a jack and an eight?
P (jack)= 4/52
P (8)= 4/52
P (jack and 8)= 4/52  4/52
= 1/169

6. Experiment 3
A jar contains three red, five green, two blue and six yellow marbles. A marble is chosen at random from the jar. After replacing it, a second marble is chosen. What is the probability of choosing a green and a yellow marble?
P (green) = 5/16
P (yellow) = 6/16
P (green and yellow) = P (green)  P (yellow)
= 15 / 128

7. Experiment 4
A school survey found that 9 out of 10 students like pizza. If three students are chosen at random with replacement, what is the probability that all three students like pizza?
P (student 1 likes pizza) = 9/10
P (student 2 likes pizza) = 9/10
P (student 3 likes pizza) = 9/10
P (student 1 and student 2 and student 3 like pizza) = 9/10  9/10  9/10 = 729/1000

8. Dependent Events
Two events A and B, are dependent if the fact that A occurs affects the probability of B occurring.
Examples- Picking a blue marble and then picking another blue marble if I don’t replace the first one.
Probability of A and B occurring:
P(A and B) = P(A)  P(B|A)

9. Experiment 1
A jar contains three red, five green, two blue and six yellow marbles. A marble is chosen at random from the jar. A second marble is chosen without replacing the first one. What is the probability of choosing a green and a yellow marble?
P (green) = 5/16
P (yellow given green) = 6/15
P (green and then yellow) = P (green)  P (yellow)
= 1/8

10. Experiment 2 P (male) = 6/10 P (male given 1st male) = 5/9
An aquarium contains 6 male goldfish and 4 female goldfish. You randomly select a fish from the tank, do not replace it, and then randomly select a second fish. What is the probability that both fish are male?
P (male) = 6/10
P (male given 1st male) = 5/9
P (male and then, male) = 1/3

11. Experiment 3 P (bad) = 5/100 P (bad given 1st bad) = 4/99
A random sample of parts coming off a machine is done by an inspector. He found that 5 out of 100 parts are bad on average. If he were to do a new sample, what is the probability that he picks a bad part and then, picks another bad part if he doesn’t replace the first?
P (bad) = 5/100
P (bad given 1st bad) = 4/99
P (bad and then, bad) = 1/495

12. Independent vs. Dependent
Determining if 2 events are independent

13. Independent Events
Two events are independent if the following are true:
P(A|B) = P(A) 
P(B|A) = P(B) 
P(A AND B) = P(A) ⋅ P(B)
To show 2 events are independent, you must prove one of the above conditions.

14. Experiment 1
Let event G  = taking a math class. Let event H  = taking a science class. Then, G AND H  = taking a math class and a science class.
Suppose P(G) = 0.6, P(H) = 0.5, and
P(G AND H) = 0.3.
Are G and H independent?

15. Experiment 2
In a particular college class, 60% of the students are female. 50% of all students in the class have long hair. 45% of the students are female and have long hair. Of the female students, 75% have long hair.
Let F be the event that the student is female. Let L be the event that the student has long hair.
One student is picked randomly. Are the events of being female and having long hair independent?

16. Approach #2 If they are independent, P(L|F) should equal P(L).
0.75 ≠ 0.5

17. Homework
Practice Worksheet