4.3 Conditional Probability Conditional probability Conditional probability is the probability that...

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4.3 Conditional Probability Conditional probability Conditional probability is the probability that the second event B occurs given that the first event A has occurred. ConditionalProbability and P A B PBA P A Bluman, Chapter 4

Transcript of 4.3 Conditional Probability Conditional probability Conditional probability is the probability that...

Page 1: 4.3 Conditional Probability Conditional probability Conditional probability is the probability that the second event B occurs given that the first event.

4.3 Conditional Probability

Conditional probabilityConditional probability is the probability that the second event B occurs given that the first event A has occurred.

Conditional Probability

andP A BP B A

P A

Bluman, Chapter 4

Page 2: 4.3 Conditional Probability Conditional probability Conditional probability is the probability that the second event B occurs given that the first event.

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Page 3: 4.3 Conditional Probability Conditional probability Conditional probability is the probability that the second event B occurs given that the first event.

Example 4-33: Parking TicketsThe probability that Sam parks in a no-parking zone and gets a parking ticket is 0.06, and the probability that Sam cannot find a legal parking space and has to park in the no-parking zone is 0.20. On Tuesday, Sam arrives at school and has to park in a no-parking zone. Find the probability that he will get a parking ticket.

N= parking in a no-parking zone, T= getting a ticket

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0.060.30

0.20

N and T

T NN

PP

P

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Chapter 4Probability and Counting Rules

Section 4-3Example 4-34

Page #217

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Page 5: 4.3 Conditional Probability Conditional probability Conditional probability is the probability that the second event B occurs given that the first event.

Example 4-34: Women in the MilitaryA recent survey asked 100 people if they thought women in the armed forces should be permitted to participate in combat. The results of the survey are shown.

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Page 6: 4.3 Conditional Probability Conditional probability Conditional probability is the probability that the second event B occurs given that the first event.

Example 4-34: Women in the Militarya. Find the probability that the respondent answered yes (Y), given that the respondent was a female (F).

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F and YY F

F

PP

P

8

10050

100

8

50 4

25

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Example 4-34: Women in the Militaryb. Find the probability that the respondent was a male (M), given that the respondent answered no (N).

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N and MM N

N

PP

P

18

10060

100

18

60 3

10

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Example 4-37: Bow TiesThe Neckware Association of America reported that 3% of ties sold in the United States are bow ties (B). If 4 customers who purchased a tie are randomly selected, find the probability that at least 1 purchased a bow tie.

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B 0.03, B 1 0.03 0.97P P

no bow ties B B B B

0.97 0.97 0.97 0.97 0.885

P P P P P

at least 1 bow tie 1 no bow ties

1 0.885 0.115

P P

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Example using tree diagram

A company makes two different BluRay players (Model A200 and Model B203). Seventy percent of the players are Model A200. Of the models manufactured, six percent of the A200s are defective and eight percent of the B203s are defective. For all BluRay players produced, 90 percent of the A200s are labeled correctly (defective or not defective) and 95 percent of the B203s are labeled correctly.

Make a diagram to help you answer questions that will follow.

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What is the probability that a player is labeled not defective, given that it is defective?

What is the probability that a randomly selected player is not defective?

Bluman, Chapter 4

A200 (.70)

B203 (.30)

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SWBAT: apply permutations, combinations, and counting principles.

Quiz: Notes:

Counting principle (go over work from Fri.)PermutationsCombinations

Assignment

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Quiz 1) You roll a pair of dice twice. Find the

probability that you roll a 7, then roll at least a sum of 9.

2) Approximately 9% of men have a type of color blindness that prevents them from distinguishing between green and red. Five men are selected at random. Find:P(all are color blind)P(none is color blind)

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The fundamental counting rulefundamental counting rule is also called the multiplication of choicesmultiplication of choices.

In a sequence of n events in which the first one has k1 possibilities and the second event has k2 and the third has k3, and so forth, the total number of possibilities of the sequence will be

k1 · k2 · k3 · · · kn

4.4 Counting Rules

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Work from Friday

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Example 4-39: Paint ColorsA paint manufacturer wishes to manufacture several different paints. The categories include

Color: red, blue, white, black, green, brown, yellow

Type: latex, oil

Texture: flat, semigloss, high gloss

Use: outdoor, indoor

How many different kinds of paint can be made if you can select one color, one type, one texture, and one use?

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# of # of # of # ofcolors types textures uses

7 2 3 2

84 different kinds of paint

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Counting Rules FactorialFactorial is the product of all the

positive numbers from 1 to a number.

PermutationPermutation is an arrangement of objects in a specific order. Order matters.

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! 1 2 3 2 1

0! 1

n n n n

!

!n r

nP

n r

1 2 1

items

n n n n r

r

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Counting Rules CombinationCombination is a grouping of objects. Order does not matter.

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!

! !n r

nC

n r r

!n rP

r

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Chapter 4Probability and Counting Rules

Always ask, “Does order matter?”

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Example 4-42: Business LocationsSuppose a business owner has a choice of 5 locations in which to establish her business. She decides to rank each location according to certain criteria, such as price of the store and parking facilities. How many different ways can she rank the 5 locations?

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first second third fourth fifthchoice choice choice choice choice

120 different ways to rank the locations

5 4 3 2 1

Using factorials, 5! = 120.

Using permutations, 5P5 = 120.

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Example 4-43: Business LocationsSuppose the business owner in Example 4–42 wishes to rank only the top 3 of the 5 locations. How many different ways can she rank them?

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first second thirdchoice choice choice

60 different ways to rank the locations

5 4 3

Using permutations, 5P3 = 60.

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Example 4-48: School MusicalsA newspaper editor has received 8 books to review. He decides that he can use 3 reviews in his newspaper. How many different ways can these 3 reviews be selected?

The placement in the newspaper is not mentioned, so order does not matter. We will use combinations.

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8 3

8!8!/ 5!3! 56

5!3!C

8 3

8 7 6or 56

3 2C

8 3

8 3or 563!

PC

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Example 4-44: Television News StoriesA television news director wishes to use 3 news stories on an evening show. One story will be the lead story, one will be the second story, and the last will be a closing story. If the director has a total of 8 stories to choose from, how many possible ways can the program be set up?

Since there is a lead, second, and closing story, we know that order matters. We will use permutations.

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8 3

8!336

5!P 8 3

3

or 8 7 6 336P

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Example 4-52: Committee SelectionA store has 6 TV Graphic magazines and 8 Newstime magazines on the counter. If two customers purchased a magazine, find the probability that one of each magazine was purchased.

TV Graphic: One magazine of the 6 magazines

Newstime: One magazine of the 8 magazines

Total: Two magazines of the 14 magazines

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6 1 8 1

14 2

C C

C

6 8 48

91 91

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Example 4-45: School Musical PlaysA school musical director can select 2 musical plays to present next year. One will be presented in the fall, and one will be presented in the spring. If she has 9 to pick from, how many different possibilities are there?

Order matters, so we will use permutations.

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9 2

9!72

7!P 9 2

2

or 9 8 72P

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Example 4-49: Committee SelectionIn a club there are 7 women and 5 men. A committee of 3 women and 2 men is to be chosen. How many different possibilities are there?

There are not separate roles listed for each committee member, so order does not matter. We will use combinations.

There are 35·10=350 different possibilities.

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7 3 5 2

7! 5!Women: 35, Men: 10

4!3! 3!2!C C

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Assignment

CW: pg 233: 1-6 HW: Pg 233: 10-24 even, 31-45 odd, 49,

50

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Agenda

Quiz HW?s Probabilities Assignment: CW: 240: 1-5 HW: 6-14, 16

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Quiz You are buying a new car. You have nine

options for color, four stereo options, three transmission options, and eight interior options. How many different cars could you choose from?

A medication is 68% effective against a virus. Find the probabilty that if 12 people take the medication:1 will show no improvementAll will show improvement

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The counting rules can be combined with the probability rules in this chapter to solvemany types of probability problems.

By using the fundamental counting rule, the permutation rules, and the combination rule, you can compute the probability of outcomes of many experiments, such as getting a full house when 5 cards are dealt or selecting a committee of 3 women and 2 men from a club consisting of 10 women and 10 men.

4.5 Probability and Counting Rules

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Chapter 4Probability and Counting Rules

Section 4-5Example 4-53

Page #239

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Example 4-53: Combination LocksA combination lock consists of the 26 letters of the alphabet. If a 3-letter combination is needed, find the probability that the combination will consist of the letters ABC in that order. The same letter can be used more than once. (Note: A combination lock is really a

permutation lock.)

There are 26·26·26 = 17,576 possible combinations.

The letters ABC in order create one combination.

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1

17,576P ABC

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Example 4-51

A box contains 32 resistors, 6 of which are defective. If 4 are sold at random, find the probability that:

Exactly one is defective None is defective At least one is defective 5 or fewer are defective

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Cards

Find the probability of getting 4 aces in a 5-card hand.

Find the probability of getting exactly one pair in a five card hand.

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Committee selection

A club consists of 14 women and 12 men. Find the probability of selecting a

committee that has3 men and 5 womenAt least one man6 men and 2 women