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CHAPTER 15 PROBABILITY RULES!. THE GENERAL ADDITION RULE Does NOT require disjoint events! P(A U B) = P(A) + P(B) – P(A ∩ B) Add the probabilities of.

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Presentation on theme: "CHAPTER 15 PROBABILITY RULES!. THE GENERAL ADDITION RULE Does NOT require disjoint events! P(A U B) = P(A) + P(B) – P(A ∩ B) Add the probabilities of."— Presentation transcript:

1 CHAPTER 15 PROBABILITY RULES!

2 THE GENERAL ADDITION RULE Does NOT require disjoint events! P(A U B) = P(A) + P(B) – P(A ∩ B) Add the probabilities of A and B then subtract the probability of A and B.

3 EXAMPLE: USING THE GENERAL ADDITION RULE A survey of college students found that 56% live in a campus residence hall, 62% participate in a campus meal program, and 42% do both. What is the probability that a randomly selected student either lives OR eats on campus?

4 EXAMPLE: USING VENN DIAGRAMS Back to the college students: 56% live on campus, 62% have a meal plan, and 42% do both. Based on a Venn diagram, what is the probability that a randomly selected student a)Lives off campus and doesn’t have a meal plan? b)Lives on campus but doesn’t have a meal plan?

5 STEP-BY-STEP EXAMPLE Police report that 78% of drivers stopped on suspicion of drunk driving are given a breath test, 36% a blood test, and 22% both tests. What is probability that a randomly selected DWI suspect is given… 1.A test? 2.A blood test or a breath test but not both? 3.Neither test?

6 PAGE 323 JUST CHECKING

7 CONDITIONAL PROBABILITY: IT DEPENDS…

8 FINDING CONDITIONAL PROBABILITY EXAMPLE Our survey found that 56% of college students live on campus, 62% have a campus meal program, and 42% do both. While dining in a campus facility open only to students with meal plans, you meet someone interesting. What is the probability that your new acquaintance lives on campus?

9 PAGE 325 JUST CHECKING

10 INDEPENDENCE Events A and B are independent whenever P(B│A) = P(B). Are living on campus and having a meal plan independent? Are they disjoint? (Back it up with math)

11 INDEPENDENT ≠ DISJOINT Disjoint events can NOT be independent! Two events could be either independent or disjoint, but not both. And they can be NEITHER disjoint nor independent.

12 PAGE 327 JUST CHECKING

13 TABLES VS VENN DIAGRAMS Step-by-Step Example Page 329 Just Checking

14 THE GENERAL MULTIPLICATION RULE Does not require independence! P(A∩B) = P(A) x P(B│A) Means the probability of A and B equals the probability of A times the probability of B given A has occurred.

15 EXAMPLE: USING THE GENERAL MULTIPLICATION RULE A factory produces two types of batteries, regular and rechargeable. Quality inspection tests show that 2% of the regular batteries come off the manufacturing line with a defect while only 1% of the rechargeable batteries have a defect. Rechargeable batteries make up 25% of the company’s production. What is the probability that if we choose 1 battery at random we get… a)A defective rechargeable battery? b)A regular battery and it is not defective?

16 DRAWING WITHOUT REPLACEMENT You just bought a small bag of Skittles. Not that you could know this, but inside are 20 candies: 7 green, 5 orange, 4 red, 3 yellow, and only 1 purple. You tear open one corner of the package and begin eating them by shaking one out at a time. What is the probability that … A)Your first two Skittles are both orange? B) That none of your first 3 candies is green?

17 PAGE 332 JUST CHECKING

18 TREE DIAGRAMS A display of conditional events or probabilities that is helpful in organizing our thinking. Now lets make a tree diagram with the battery example…


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