chapter 15 probability rules!

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Chapter 15 Probability Rules! General Addition Rule Conditional Probability

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Chapter 15 Probability Rules!. General Addition Rule Conditional Probability. Recall…. for any Random phenomenon each trial generates an outcome An event is a set of outcomes The collection of all possible outcomes is called the SAMPLE SPACE (S). Sample Space. - PowerPoint PPT Presentation

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Page 1: Chapter 15 Probability Rules!

Chapter 15Probability Rules!

General Addition RuleConditional Probability

Page 2: Chapter 15 Probability Rules!

Recall…

• for any Random phenomenon• each trial generates• an outcome

• An event is a set of outcomes – The collection of all possible outcomes is called

the SAMPLE SPACE (S)

Page 3: Chapter 15 Probability Rules!

Sample Space

List the sample space and tell whether you think they are equally as likely

a. Toss 2 coins; record the order of heads and tails

b. A family has 3 children; record the number of boys

c. Flip a coin until you get a head or 3 consecutive tails

d. Roll two dice; record the larger number

Page 4: Chapter 15 Probability Rules!

Drawing Venn Diagrams

Real Estate ads suggest that 64% of homes for sale have garages, 21% have swimming pools, and 17% have both features. What is the probability that a home for sale has

a. a pool or a garage?b. neither a pool nor a garage?c. a pool but no garage?

Page 5: Chapter 15 Probability Rules!

General Addition Rule

• Does NOT require disjoint events

Page 6: Chapter 15 Probability Rules!

Conditional ProbabilitiesA Gallup survey of June 2004 asked 1005 U.S. adults who they think better fits their idea of what a first lady should be, Laura Bush or Hillary Clinton.

a. What is the probability that the person thought Laura Bush best fits their first lady ideals?

b. What is the probability that the person is younger than 50? c. What is the probability that the person is younger than 50 and thinks

Clinton is a better fit?d. What is the probability that the person is younger than 50 or thinks

Clinton is a better fit?

18-29 30-49 50-64 over 65 total

Clinton 135 158 79 65 437

Bush 77 237 112 92 518

Neither 5 21 14 10 50

Total 217 416 205 167 1005

Page 7: Chapter 15 Probability Rules!

Conditional Probability

“The probability of B given A”

Page 8: Chapter 15 Probability Rules!

Conditional Probabilities

You draw a card at random from a standard deck of 52 cards. Find the following conditional probabilities.a. the card is a heart, given that it is red.b. the card is red, given that it is a heartc. the card is an ace, given that it is redd. the card is a queen given that it is a face card

Page 9: Chapter 15 Probability Rules!

Chapter 15 Probability Rules!

*General Multiplication Rule*Testing for Disjoint/Independence

*Probability Tables*Tree Diagrams

Page 10: Chapter 15 Probability Rules!

General Multiplication Rule

** when A and B are INDEPENDENT, then **

• When A and B are NOT independent, then

Which event you define as A or B does not matter

Page 11: Chapter 15 Probability Rules!

How do we know if two event are INDEPENDENT??

If P(B|A) = P(B), then A and B are independent

Example: Is good grades as a goal independent of gender??

Goals

Gender

Grades Popular Sports Total

Boy 117 50 60 227

Girl 130 91 30 251

Total 247 141 90 478

Page 12: Chapter 15 Probability Rules!

• Events can NOT be disjoint AND independent

• Consider– Event A = {making the team}– Event B = {not making the team}

Page 13: Chapter 15 Probability Rules!

Probability Tables

Construct a probability table with the given information.

Suppose 78% of DUI suspects are given a breath test, 36% a blood test, and 22% of DUI suspects receive both tests.

Page 14: Chapter 15 Probability Rules!

• Are giving a DUI suspect a blood test and a breath test mutually exclusive (disjoint)?

• Are giving the 2 tests independent?

Page 15: Chapter 15 Probability Rules!

Drawing without Replacing

• Suppose you are drawing cards from a standard deck.

• What is the probability you will draw 3 spades in a row??

Page 16: Chapter 15 Probability Rules!

Data on College Binge Drinking• 44% binge drink• 37% drink moderately• 19% abstain completely

• Of those who binge drink: 17% car accidents• Of those who drink moderately: 9% car

accidents

FIND: P(college student who binge drinks and has been involved in a car accident)

Page 17: Chapter 15 Probability Rules!

Tree Diagram

• shows sequence of events

• make when using GMR

• covers all possible outcomes

• probabilities should add up to 1

Page 18: Chapter 15 Probability Rules!

Reversing the Conditions

• What is the probability the student is a binge drinking given they were in an accident.

• Tree Diagram given P(accident|binge drinker)• Use the tree to find P(binge|accident)