unit 4 sections 4-1 & 4-2. 4-1 & 4-2: sample spaces and probability probability – the...

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Unit 4 Sections 4-1 & 4-2

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Page 1: Unit 4 Sections 4-1 & 4-2. 4-1 & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process

Unit 4Sections 4-1 & 4-2

Page 2: Unit 4 Sections 4-1 & 4-2. 4-1 & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process

4-1 & 4-2: Sample Spaces and Probability Probability– the chance of an event occurring.

Probability event – a chance process that leads to a well defined result (outcome).

Ex: rolling a die, flipping a coin

Outcome – the result of a single trial of a probability experiment.

Ex: flipping heads or tails

Sample Space – the set of all possible outcomes a probability experiment.

Page 3: Unit 4 Sections 4-1 & 4-2. 4-1 & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process

Determining Sample Spaces

Section 4-2

Example 1: Determine the sample space for each probability experiment.

Experiment Sample Space

Toss one coin

Roll a die

Answer a true/false question

Toss Two Coins

Page 4: Unit 4 Sections 4-1 & 4-2. 4-1 & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process

Determining Sample Space

Section 4-2

Example 2: Determine the sample space for rolling two dice.

1 2 3 4 5 6

1

2

3

4

5

6

Page 5: Unit 4 Sections 4-1 & 4-2. 4-1 & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process

Determining Sample Space

Section 4-2

Example 3: Determine the sample space for the gender of the children if a family has three children.

(Use B for boy and G for girl)

Page 6: Unit 4 Sections 4-1 & 4-2. 4-1 & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process

Section 4-2

Tree Diagram – a device consisting of line segments emanating from a starting point and also from the outcome point.

Used to determine all possible outcomes of a probability experiment.

Example 4: Using a tree diagram, determine the sample space for the gender of the children if a family has three children.

Page 7: Unit 4 Sections 4-1 & 4-2. 4-1 & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process

Event – set of outcomes of a probability event.

Ex: rolling and odd number Event with one outcome is called a simple event. Event with more than one outcome is called a

compound event.

Classical probability – the use of sample spaces to determine the numerical probability that an event will happen.

Equally Likely Events – events that have the same probability of occurring.

Ex: flipping heads or tails.

Section 4-2

Page 8: Unit 4 Sections 4-1 & 4-2. 4-1 & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process

Formula for Classical Probability

The probability of any event E is:

The number of outcomes in ETotal number of outcomes in the sample space

Section 4-2

Page 9: Unit 4 Sections 4-1 & 4-2. 4-1 & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process

Example 5: A) For a card drawn from an ordinary

deck, find the probability of getting a queen.

B) If a family has three children, find the probability that all the children are girls

Section 4-2

Page 10: Unit 4 Sections 4-1 & 4-2. 4-1 & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process

Example 6: A card is drawn from an ordinary deck. Find these probabilities:

Of getting a jack

Of getting the 6 of clubs

Of getting a 3 or a diamond

Of getting a 3 or a 6

Section 4-2

Page 11: Unit 4 Sections 4-1 & 4-2. 4-1 & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process

Probability Rules: The probability of any event is a number

between (and including) 0 and 1.

If an event cannot occur, then the probability is 0.

If an event is certain, then the probability is 1.

The sum of the probabilities of all the outcomes in the sample space is 1.

Section 4-2

Page 12: Unit 4 Sections 4-1 & 4-2. 4-1 & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process

Complement of an event – the set of the outcomes in a sample space that are not included in the outcomes of the event.

The complement of E is denoted :

Example 7: Find the complement of each event:

Rolling a die and getting a 4.

Selecting a month and getting a month that begins with J.

Selecting a day of the week and getting a weekday.

Section 4-2

Page 13: Unit 4 Sections 4-1 & 4-2. 4-1 & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process

Empirical probability – probability that relies on actual experience to determine the likelihood of outcomes.

also known as experimental probability

Example 8: In a sample of 50 people, 21 had type O blood, 22 had type A blood, 5 had type B blood, and 2 had type AB blood.

Set up a frequency distribution and find the following probabilities:

A person has type O blood

A person has type A or B blood

A person does not have type AB blood

Section 4-2

Page 14: Unit 4 Sections 4-1 & 4-2. 4-1 & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process

Subjective Probability – a probability value based on an educated guess or estimate, employing opinions and inexact information.

Ex: A doctor might say that there is a 30% chance that a patient will need surgery.

Section 4-2

Page 15: Unit 4 Sections 4-1 & 4-2. 4-1 & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process

Homework: Pg 186: 13, 15, 17 - 21