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Section 3.3 Section 3.3 Addition Rule Larson/Farber 4th ed 1

Section 3.3

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Section 3.3. Addition Rule. Section 3.3 Objectives. Determine if two events are mutually exclusive. Use the Addition Rule to find the probability of two events. A. B. Mutually Exclusive Events. Mutually exclusive Two events A and B cannot occur at the same time. A. B. - PowerPoint PPT Presentation

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Section 3.3Section 3.3Addition Rule

Larson/Farber 4th ed 1

Section 3.3 ObjectivesSection 3.3 Objectives

Determine if two events are mutually exclusive

Use the Addition Rule to find the probability of two events

Larson/Farber 4th ed2

Mutually Exclusive EventsMutually Exclusive Events

Mutually exclusiveTwo events A and B cannot occur at the same time

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AB A B

A and B are mutually exclusive

A and B are not mutually exclusive

Example: Mutually Exclusive Example: Mutually Exclusive EventsEvents

Decide if the events are mutually exclusive.Event A: Roll a 3 on a die.Event B: Roll a 4 on a die.

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Solution:Mutually exclusive (The first event has one outcome, a 3. The second event also has one outcome, a 4. These outcomes cannot occur at the same time.)

Example: Mutually Exclusive Example: Mutually Exclusive EventsEvents

Decide if the events are mutually exclusive.Event A: Randomly select a male student.Event B: Randomly select a nursing major.

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Solution:Not mutually exclusive (The student can be a male nursing major.)

The Addition RuleThe Addition RuleAddition rule for the probability of A or B

The probability that events A or B will occur is◦P(A or B) = P(A) + P(B) – P(A and B)

For mutually exclusive events A and B, the rule can be simplified to◦P(A or B) = P(A) + P(B)◦Can be extended to any number of

mutually exclusive events

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Example: Using the Example: Using the Addition Rule Addition Rule

You select a card from a standard deck. Find the probability that the card is a 4 or an ace.

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Solution:The events are mutually exclusive (if the card is a 4, it cannot be an ace)

(4 ) (4) ( )

4 4

52 528

0.15452

P or ace P P ace

4♣4♥

4♦4♠

A♣A♥

A♦A♠

44 other cards

Deck of 52 Cards

Example: Using the Example: Using the Addition Rule Addition Rule

You roll a die. Find the probability of rolling a number less than 3 or rolling an odd number.

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Solution:The events are not mutually exclusive (1 is an outcome of both events)

Odd

53 1

2

4 6

Less than three

Roll a Die

Solution: Using the Solution: Using the Addition Rule Addition Rule

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( 3 )

( 3) ( ) ( 3 )

2 3 1 40.667

6 6 6 6

P less than or odd

P less than P odd P less than and odd

Odd

53 1

2

4 6

Less than three

Roll a Die

Example: Using the Example: Using the Addition RuleAddition Rule

The frequency distribution shows the volume of sales (in dollars) and the number of months a sales representative reached each sales level during the past three years. If this sales pattern continues, what is the probability that the sales representative will sell between $75,000 and $124,999 next month?

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Sales volume ($)

Months

0–24,999 3

25,000–49,999

5

50,000–74,999

6

75,000–99,999

7

100,000–124,999

9

125,000–149,999

2

150,000–174,999

3

175,000–199,999

1

Solution: Using the Solution: Using the Addition RuleAddition Rule

A = monthly sales between $75,000 and $99,999

B = monthly sales between $100,000 and $124,999

A and B are mutually exclusive

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Sales volume ($)

Months

0–24,999 3

25,000–49,999

5

50,000–74,999

6

75,000–99,999

7

100,000–124,999

9

125,000–149,999

2

150,000–174,999

3

175,000–199,999

1

( ) ( ) ( )

7 9

36 3616

0.44436

P A or B P A P B

Example: Using the Example: Using the Addition RuleAddition Rule

A blood bank catalogs the types of blood given by donors during the last five days. A donor is selected at random. Find the probability the donor has type O or type A blood.

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Type O Type A Type B Type AB

Total

Rh-Positive

156 139 37 12 344

Rh-Negative

28 25 8 4 65

Total 184 164 45 16 409

Solution: Using the Solution: Using the Addition RuleAddition Rule

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The events are mutually exclusive (a donor cannot have type O blood and type A blood)Type O Type A Type B Type

ABTotal

Rh-Positive 156 139 37 12 344

Rh-Negative

28 25 8 4 65

Total 184 164 45 16 409( ) ( ) ( )

184 164

409 409348

0.851409

P type O or type A P type O P type A

Example: Using the Example: Using the Addition RuleAddition Rule

Find the probability the donor has type B or is Rh-negative.

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Solution:

The events are not mutually exclusive (a donor can have type B blood and be Rh-negative)

Type O Type A Type B Type AB

Total

Rh-Positive 156 139 37 12 344

Rh-Negative

28 25 8 4 65

Total 184 164 45 16 409

Solution: Using the Solution: Using the Addition RuleAddition Rule

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Type O Type A Type B Type AB

Total

Rh-Positive 156 139 37 12 344

Rh-Negative

28 25 8 4 65

Total 184 164 45 16 409( )

( ) ( ) ( )

45 65 8 1020.249

409 409 409 409

P type B or Rh neg

P type B P Rh neg P type B and Rh neg

SECTION 3.3 SECTION 3.3 SUMMARYSUMMARY

Determined if two events are mutually exclusive

Used the Addition Rule to find the probability of two events

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