1 / 12

Challenge of the Day

Challenge of the Day. 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?

ryann
Download Presentation

Challenge of the Day

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Challenge of the Day • 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? • 3. What is the probability that a randomly chosen person is female or likes McDonald’s? 7/20 9/20 3/4

  2. CCGPS Geometry UNIT QUESTION: What connection does conditional probability have to independence? Standard: MCC9-12.S.CP.1-7 Today’s Question: How can I determine if 2 events are independent of each other? Standard: MCC9-12.S.CP.1, 7

  3. Probability Independent vs. Dependent events

  4. Independent Events • Two events A and B, are independent if the fact that A occurs does not affect the probability of B occurring. • Examples- Landing on heads from two different coins, 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)

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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)

  10. 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

  11. Experiment 2 • 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

  12. Experiment 3 • 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

More Related