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Mutually Exclusive and Inclusive Events Unit 6: Probability – Day 3 (Winter Break)

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Mutually Exclusive and Inclusive Events. Unit 6: Probability – Day 3 (Winter Break). Warm-Up 1. Find the probability of selecting a King from a deck of cards. Find the probability of rolling an even number on a standard die. - PowerPoint PPT Presentation

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Page 1: Mutually Exclusive and Inclusive Events

Mutually Exclusive and Inclusive EventsUnit 6: Probability – Day 3 (Winter Break)

Page 2: Mutually Exclusive and Inclusive Events

1. Find the probability of selecting a King from a deck of cards.

2. Find the probability of rolling an even number on a standard die.

3. What the probability of flipping heads on a coin AND rolling a 6 on a die?

Hint: These are independent events!

Warm-Up 1

Page 3: Mutually Exclusive and Inclusive Events

Review

Page 4: Mutually Exclusive and Inclusive Events

Sample Space Definition: A Sample Space is the set of all

possible outcomes of an experiment.

Example: The sample space, S, of the days of the school week is

S = {Monday, Tuesday, Wednesday, Thursday, Friday}

Page 5: Mutually Exclusive and Inclusive Events

Intersections and Unions of Sets

The intersection of two sets (denoted A B) is the set of all elements in both set A AND set B. (must be in both)

The union of two sets (denoted A B) is the set of all elements in either set A OR set B. (everything)

Page 6: Mutually Exclusive and Inclusive Events

Complement of a set The Complement of a set is the set of all

elements NOT in the set.◦ The complement of a set, A, is denoted as AC

Page 7: Mutually Exclusive and Inclusive Events

Basic Probability Probability of an event occurring is:

P(E) = Number of Favorable Outcomes Total Number of Outcomes

Page 8: Mutually Exclusive and Inclusive Events

Odds The odds of an event occurring are equal to

the ratio of favorable outcomes to unfavorable outcomes.

Odds = Favorable Outcomes Unfavorable Outcomes

Page 9: Mutually Exclusive and Inclusive Events

Independent and Dependent Events Independent Events: two events are said

to be independent when one event has no affect on the probability of the other event occurring.

Dependent Events: two events are dependent if the outcome or probability of the first event affects the outcome or probability of the second.

Page 10: Mutually Exclusive and Inclusive Events

Multiplication Rule of Probability The probability of two independent events

occurring can be found by the following formula:

P(A B) = P(A) x P(B) For dependent events we use the multiplication rule but must think about the probability for event B!

Page 11: Mutually Exclusive and Inclusive Events
Page 12: Mutually Exclusive and Inclusive Events

Suppose you are rolling a six-sided die. What is the probability that you roll an odd number or you roll a 2?

First, can these both occur at the same time? Why or why not?

Mutually Exclusive Events

Page 13: Mutually Exclusive and Inclusive Events

Suppose you are rolling a six-sided die. What is the probability that you roll an odd number or you roll a 2?

First, can these both occur at the same time? Why or why not?◦ NO! 2 is not odd so you can’t roll both an

odd number and a 2!

Mutually Exclusive Events

Page 14: Mutually Exclusive and Inclusive Events

Mutually Exclusive Events (or Disjoint Events): Two or more events that cannot occur at the same time.

“No OVERLAP” Never occurring at the same time!

Mutually Exclusive Events

Page 15: Mutually Exclusive and Inclusive Events

The probability of two mutually exclusive events occurring at the same time ,

P(A and B), is 0

Ex. It is not possible to roll an odd number and a 2 at the exact same time!

Page 16: Mutually Exclusive and Inclusive Events

To find the probability of either of two mutually exclusive events occurring, use the following formula:

P(A or B) = P(A) + P(B)or

P(A B) = P(A) + P(B)

Probability of Mutually Exclusive Events Think of this as the “OR” case

Page 17: Mutually Exclusive and Inclusive Events

1. If you randomly chose one of the integers 1 – 10, what is the probability of choosing either an odd number or an even number?

Are these mutually exclusive events? Why or why not? Yes, It can’t be odd and even at the same time

Complete the following statement:P(odd or even) = P(_____) + P(_____)P(odd or even) = P(odd) + P(even)

Now fill in with numbers:P(odd or even) = _______ + ________P(odd or even) = ½ + ½ = 1

Examples

Page 18: Mutually Exclusive and Inclusive Events

Are these events mutually exclusive?Sometimes using a table of outcomes is

useful. Complete the following table using the sums of two dice:

2. Two fair dice are rolled. What is the probability of getting a sum less than 7 or a sum equal to 10?

Die 1 2 3 4 5 61 2 3 4 5 6 72 3 43 4456

Page 19: Mutually Exclusive and Inclusive Events

P(getting a sum less than 7 OR sum of 10) = P(sum less than 7) + P(sum of 10)= 15/36 + 3/36 = 18/36= ½The probability of rolling a sum less than 7 or

a sum of 10 is ½ or 50%.

Die 1 2 3 4 5 61 2 3 4 5 6 72 3 4 5 6 7 83 4 5 6 7 8 94 5 6 7 8 9 105 6 7 8 9 10 116 7 8 9 10 11 12

Page 20: Mutually Exclusive and Inclusive Events

Suppose you are rolling a six-sided die. What is the probability that you roll an odd number or a number less than 4?

First, Can these both occur at the same time? If so, when?

Mutually Inclusive Events

Page 21: Mutually Exclusive and Inclusive Events

Suppose you are rolling a six-sided die. What is the probability that you roll an odd number or a number less than 4?

First, Can these both occur at the same time? If so, when?

Yes, rolling either 1 or 3

Mutually Inclusive Events

Page 22: Mutually Exclusive and Inclusive Events

Mutually Inclusive Events: Two events that can occur at the same time.

Mutually Inclusive Events

Page 23: Mutually Exclusive and Inclusive Events

The formula for finding the probability of two mutually inclusive events can also be used for mutually exclusive events.

Let’s think of it as the formula for finding the probability of the union of two events

Addition Rule:P(A or B) = P(A B) = P(A) + P(B) – P(A

B)

***Use this for both Mutually Exclusive and Inclusive events***

Probability of the Union of Two Events: The Addition Rule

Page 24: Mutually Exclusive and Inclusive Events

1. What is the probability of choosing a card from a deck of cards that is a club or a ten?

Examples

Page 25: Mutually Exclusive and Inclusive Events

1. What is the probability of choosing a card from a deck of cards that is a club or a ten?

P(choosing a club or a ten)= P(club) + P(ten) – P(10 of clubs)= 13/52 + 4/52 – 1/52 = 16/52= 4/13 or .308The probability of choosing a club or a ten is

4/13 or 30.8%

Examples

Page 26: Mutually Exclusive and Inclusive Events

2. What is the probability of choosing a number from 1 to 10 that is less than 5 or odd?

Page 27: Mutually Exclusive and Inclusive Events

2. What is the probability of choosing a number from 1 to 10 that is less than 5 or odd?

P(<5 or odd)= P(<5) + P(odd) – P(<5 and odd)<5 = {1,2,3,4} odd = {1,3,5,7,9}= 4/10 + 5/10 – 2/10= 7/10The probability of choosing a number less than

5 or an odd number is 7/10 or 70%.

Page 28: Mutually Exclusive and Inclusive Events

3. A bag contains 26 tiles with a letter on each, one tile for each letter of the alphabet. What is the probability of reaching into the bag and randomly choosing a tile with one of the first 10 letters of the alphabet on it or randomly choosing a tile with a vowel on it?

Page 29: Mutually Exclusive and Inclusive Events

3. A bag contains 26 tiles with a letter on each, one tile for each letter of the alphabet. What is the probability of reaching into the bag and randomly choosing a tile with one of the first 10 letters of the alphabet on it or randomly choosing a tile with a vowel on it?

P(one of the first 10 letters or vowel)= P(one of the first 10 letters) + P(vowel) – P(first

10 and vowel)= 10/26 + 5/26 – 3/26 = 12/26 or 6/13The probability of choosing either one of the first

10 letters or a vowel is 6/13 or 46.2%

Page 30: Mutually Exclusive and Inclusive Events

4. A bag contains 26 tiles with a letter on each, one tile for each letter of the alphabet. What is the probability of reaching into the bag and randomly choosing a tile with one of the last 5 letters of the alphabet on it or randomly choosing a tile with a vowel on it?

Page 31: Mutually Exclusive and Inclusive Events

4. A bag contains 26 tiles with a letter on each, one tile for each letter of the alphabet. What is the probability of reaching into the bag and randomly choosing a tile with one of the last 5 letters of the alphabet on it or randomly choosing a tile with a vowel on it?

P(one of the last 5 letters or vowel)= P(one of the last 5 letters) + P(vowel) –

P(last 5 and vowel)= 5/26 + 5/26 – 0 = 10/26 or 5/13The probability of choosing either one of the

first 10 letters or a vowel is 5/13 or 38.5%