SlideShare a Scribd company logo
UUNNIITT 99..66 TTHHEEOORREETTIICCAALL 
PPRROOBBAABBIILLIITTYY
Warm Up 
An experiment consists of spinning a 
spinner 8 times. The spinner lands on 
red 4 times, yellow 3 times, and green 
once. Find the experimental probability 
of each event. 
1. The spinner lands on red. 
2. The spinner does not land on green. 
3. The spinner lands on yellow.
Objectives 
Determine the theoretical probability 
of an event. 
Convert between probabilities and 
odds.
Vocabulary 
equally likely 
theoretical probability 
fair 
complement 
odds
When the outcomes in the sample space of an 
experiment have the same chance of occurring, 
the outcomes are said to be equally likely.
The theoretical probability of an event is the 
ratio of the number of ways the event can occur to 
the total number of equally likely outcomes.
An experiment in which all outcomes are equally 
likely is said to be fair. You can usually assume 
that experiments involving coins and number 
cubes are fair.
Example 1A: Finding Theoretical Probability 
An experiment consists of rolling a number 
cube. Find the theoretical probability of each 
outcome. 
rolling a 5 
There is one 5 
on a number 
cube.
Example 1B: Finding Theoretical Probability 
An experiment consists of rolling a number 
cube. Find the theoretical probability of each 
outcome. 
rolling an odd number 
There 3 odd 
numbers on 
a cube. 
= 0.5 = 50%
Example 1C: Finding Theoretical Probability 
An experiment consists of rolling a number 
cube. Find the theoretical probability of each 
outcome. 
rolling a number less than 3 
There are 2 
numbers 
less three.
Check It Out! Example 1 
An experiment consists of rolling a number cube. 
Find the theoretical probability of each outcome. 
a. Rolling an even number 
There 3 even 
numbers on 
a cube. 
b. Rolling a multiple of 3 
= 0.5 = 50% 
There are 2 
multiples 
of three.
Reading Math 
The probability of an event can be written as 
P(event). P(heads) means “the probability that 
heads will be the outcome.”
When you toss a coin, there are two possible 
outcomes, heads or tails. The table below shows 
the theoretical probabilities and experimental 
results of tossing a coin 10 times.
The sum of the probability of heads and the 
probability of tails is 1, or 100%. This is because it is 
certain that one of the two outcomes will always 
occur. 
P(event happening) + P(event not happening) = 1
The complement of an event is all the outcomes 
in the sample space that are not included in the 
event. The sum of the probabilities of an event and 
its complement is 1, or 100%, because the event 
will either happen or not happen. 
P(event) + P(complement of event) = 1
Example 2: Finding Probability by Using the 
Complement 
A box contains only red, black, and white blocks. 
The probability of choosing a red block is , the 
probability of choosing a black block is . What is 
the probability of choosing a white block? 
P(red) + P(black) + P(white) = 100% 
25% + 50% + P(white) = 100% 
75% + P(white) = 100% 
–75% –75% 
P(white) = 25% 
Either it will be a 
white block or 
not. 
Subtract 75% 
from both 
sides.
Check It Out! Example 2 
A jar has green, blue, purple, and white 
marbles. The probability of choosing a green 
marble is 0.2, the probability of choosing blue 
is 0.3, the probability of choosing purple is 0.1. 
What is the probability of choosing white? 
Either it will be a white marble or not. 
P(green) + P(blue) + P(purple) + P(white) = 1.0 
0.2 + 0.3 + 0.1 + P(white) = 1.0 
0.6 + P(white) = 1.0 
– 0.6 – 0.6 Subtract 0.6 from 
P(white) = 0.4 
both sides.
Odds are another way to express the likelihood 
of an event. The odds in favor of an event 
describe the likelihood that the event will occur. 
The odds against an event describe the likelihood 
that the event will not occur. 
Odds are usually written with a colon in the form 
a:b, but can also be written as a to b or .
The two numbers given as the odds will add up to 
the total number of possible outcomes. You can use 
this relationship to convert between odds and 
probabilities.
Reading Math 
You may see an outcome called “favorable.” This 
does not mean that the outcome is good or bad. 
A favorable outcome is the outcome you are 
looking for in a probability experiment.
Example 3A: Converting Between Odds and 
Probabilities 
The probability of rolling a 2 on a number 
cube is . What are the odds of rolling a 2 ? 
The probability of rolling a 2 is . There are 5 unfavorable 
outcomes and 1 favorable outcome, thus the odds are 1:5. 
Odds in favor are 1:5.
Example 3B: Converting Between Odds and 
Probabilities 
The odds in favor of winning a contest are 1:9. 
What is the probability of winning the 
contest? 
The odds in favor of winning are 1:9, so the odds against are 
9:1. This means there is 1 favorable outcome and 9 
unfavorable outcomes for a total of 10 possible outcomes. 
The probability of winning the contest is
Example 3C: Converting Between Odds and 
Probabilities 
The odds against a spinner landing on red are 
2:3. What is the probability of the spinner 
landing on red? 
The odds against landing on red are 2:3, so the odds in 
favor are 3:2. This means there are 3 favorable outcomes 
and 2 unfavorable outcomes for a total of 5 possible 
outcomes. 
The probability of landing on red is
Check It Out! Example 3 
The odds in favor of winning a free drink are 
1:24. What is the probability of winning a 
free drink? 
The odds in favor of winning are 1:24, so the odds 
against are 24:1. This means there is 1 favorable 
outcome and 24 unfavorable outcomes for a total of 25 
possible outcomes. 
The probability of winning the free drink is
Lesson Quiz: Part I 
Find the theoretical probability of each outcome. 
1. Randomly choosing B from the letters in ALGEBRA 
2. Rolling a factor of 10 on a number cube 
3. The probability that it will be sunny is 15%. What 
is the probability that it will not be sunny? 
85% 
4. The probability of choosing a red marble out of a 
bag of marbles is . What are the odds in favor 
of choosing a red marble? 3:7
Lesson Quiz: Part II 
Find the theoretical probability of the outcome. 
5. The odds against a spinner landing on blue are 
7:5. Five sections of the spinner are red. What is 
the probability of the spinner landing on red?
All rights belong to their 
respective owners. 
Copyright Disclaimer Under 
Section 107 of the 
Copyright Act 1976, 
allowance is made for "fair 
use" for purposes such as 
criticism, comment, news 
reporting, TEACHING, 
scholarship, and research. 
Fair use is a use permitted 
by copyright statute that 
might otherwise be 
infringing. 
Non-profit, EDUCATIONAL 
or personal use tips the 
balance in favor of fair use.

More Related Content

What's hot

Experimental Probability
Experimental ProbabilityExperimental Probability
Experimental ProbabilityLindsey Brown
 
Unit 12: Probability
Unit 12: ProbabilityUnit 12: Probability
Unit 12: ProbabilityRenegarmath
 
Probability
Probability Probability
Probability
Maria Romina Angustia
 
SIM Basic Probability
SIM Basic ProbabilitySIM Basic Probability
SIM Basic Probability
angelamorales78
 
Probability Theory
Probability Theory Probability Theory
Probability Theory
Anthony J. Evans
 
Probability
ProbabilityProbability
Probability
lrassbach
 
Probability for GCSE
Probability for GCSEProbability for GCSE
Probability for GCSESteve Bishop
 
Chapter 4 Probability Notes
Chapter 4 Probability NotesChapter 4 Probability Notes
Chapter 4 Probability Notespwheeles
 
Probability By Ms Aarti
Probability By Ms AartiProbability By Ms Aarti
Probability By Ms Aarti
kulachihansraj
 
Probability
ProbabilityProbability
Probability
var93
 
Grade 8 Probability Cambridge [PPT]
Grade 8 Probability Cambridge [PPT]Grade 8 Probability Cambridge [PPT]
Grade 8 Probability Cambridge [PPT]
kacangtom
 
Probability - Question Bank for Class/Grade 10 maths.
Probability - Question Bank for Class/Grade 10 maths.Probability - Question Bank for Class/Grade 10 maths.
Probability - Question Bank for Class/Grade 10 maths.
Let's Tute
 
Probability - The Basics Workshop 1
Probability - The Basics Workshop 1Probability - The Basics Workshop 1
Probability - The Basics Workshop 1
Angela Lee
 
Probability
ProbabilityProbability
Probability
Siyavula
 
Probability addition rule
Probability addition ruleProbability addition rule
Probability addition rule
lrassbach
 
Probability+distribution
Probability+distributionProbability+distribution
Probability+distribution
Nilanjan Bhaumik
 
L3 10 1
L3 10 1L3 10 1
Probability
ProbabilityProbability
Probability
Sanika Savdekar
 
03+probability+distributions.ppt
03+probability+distributions.ppt03+probability+distributions.ppt
03+probability+distributions.pptabhinav3874
 
Chapter 4 260110 044531
Chapter 4 260110 044531Chapter 4 260110 044531
Chapter 4 260110 044531
guest25d353
 

What's hot (20)

Experimental Probability
Experimental ProbabilityExperimental Probability
Experimental Probability
 
Unit 12: Probability
Unit 12: ProbabilityUnit 12: Probability
Unit 12: Probability
 
Probability
Probability Probability
Probability
 
SIM Basic Probability
SIM Basic ProbabilitySIM Basic Probability
SIM Basic Probability
 
Probability Theory
Probability Theory Probability Theory
Probability Theory
 
Probability
ProbabilityProbability
Probability
 
Probability for GCSE
Probability for GCSEProbability for GCSE
Probability for GCSE
 
Chapter 4 Probability Notes
Chapter 4 Probability NotesChapter 4 Probability Notes
Chapter 4 Probability Notes
 
Probability By Ms Aarti
Probability By Ms AartiProbability By Ms Aarti
Probability By Ms Aarti
 
Probability
ProbabilityProbability
Probability
 
Grade 8 Probability Cambridge [PPT]
Grade 8 Probability Cambridge [PPT]Grade 8 Probability Cambridge [PPT]
Grade 8 Probability Cambridge [PPT]
 
Probability - Question Bank for Class/Grade 10 maths.
Probability - Question Bank for Class/Grade 10 maths.Probability - Question Bank for Class/Grade 10 maths.
Probability - Question Bank for Class/Grade 10 maths.
 
Probability - The Basics Workshop 1
Probability - The Basics Workshop 1Probability - The Basics Workshop 1
Probability - The Basics Workshop 1
 
Probability
ProbabilityProbability
Probability
 
Probability addition rule
Probability addition ruleProbability addition rule
Probability addition rule
 
Probability+distribution
Probability+distributionProbability+distribution
Probability+distribution
 
L3 10 1
L3 10 1L3 10 1
L3 10 1
 
Probability
ProbabilityProbability
Probability
 
03+probability+distributions.ppt
03+probability+distributions.ppt03+probability+distributions.ppt
03+probability+distributions.ppt
 
Chapter 4 260110 044531
Chapter 4 260110 044531Chapter 4 260110 044531
Chapter 4 260110 044531
 

Viewers also liked

Algebra 2 unit 9.1
Algebra 2 unit 9.1Algebra 2 unit 9.1
Algebra 2 unit 9.1
Mark Ryder
 
Algebra unit 9.1
Algebra unit 9.1Algebra unit 9.1
Algebra unit 9.1
Mark Ryder
 
Geometry 201 unit 2.6
Geometry 201 unit 2.6Geometry 201 unit 2.6
Geometry 201 unit 2.6
Mark Ryder
 
Geometry 201 unit 3.1
Geometry 201 unit 3.1Geometry 201 unit 3.1
Geometry 201 unit 3.1
Mark Ryder
 
Geometry unit 11.2
Geometry unit 11.2Geometry unit 11.2
Geometry unit 11.2
Mark Ryder
 
Geometry 201 unit 4.3
Geometry 201 unit 4.3Geometry 201 unit 4.3
Geometry 201 unit 4.3
Mark Ryder
 
Geometry 201 Unit 4.1
Geometry 201 Unit 4.1Geometry 201 Unit 4.1
Geometry 201 Unit 4.1
Mark Ryder
 
Geometry 201 unit 5.7
Geometry 201 unit 5.7Geometry 201 unit 5.7
Geometry 201 unit 5.7
Mark Ryder
 

Viewers also liked (8)

Algebra 2 unit 9.1
Algebra 2 unit 9.1Algebra 2 unit 9.1
Algebra 2 unit 9.1
 
Algebra unit 9.1
Algebra unit 9.1Algebra unit 9.1
Algebra unit 9.1
 
Geometry 201 unit 2.6
Geometry 201 unit 2.6Geometry 201 unit 2.6
Geometry 201 unit 2.6
 
Geometry 201 unit 3.1
Geometry 201 unit 3.1Geometry 201 unit 3.1
Geometry 201 unit 3.1
 
Geometry unit 11.2
Geometry unit 11.2Geometry unit 11.2
Geometry unit 11.2
 
Geometry 201 unit 4.3
Geometry 201 unit 4.3Geometry 201 unit 4.3
Geometry 201 unit 4.3
 
Geometry 201 Unit 4.1
Geometry 201 Unit 4.1Geometry 201 Unit 4.1
Geometry 201 Unit 4.1
 
Geometry 201 unit 5.7
Geometry 201 unit 5.7Geometry 201 unit 5.7
Geometry 201 unit 5.7
 

Similar to Algebra unit 9.6.2

7.8 simple probability 1
7.8 simple probability   17.8 simple probability   1
7.8 simple probability 1bweldon
 
Probability definitions and properties
Probability definitions and propertiesProbability definitions and properties
Probability definitions and properties
Hamza Qureshi
 
(7) Lesson 9.1
(7) Lesson 9.1(7) Lesson 9.1
(7) Lesson 9.1
wzuri
 
What are the chances? - Probability
What are the chances? - ProbabilityWhat are the chances? - Probability
What are the chances? - Probability
mscartersmaths
 
probability-120904030152-phpapp01.pdf
probability-120904030152-phpapp01.pdfprobability-120904030152-phpapp01.pdf
probability-120904030152-phpapp01.pdf
HimanshuSharma617324
 
PROBABILITY.pptx
PROBABILITY.pptxPROBABILITY.pptx
PROBABILITY.pptx
GeeyaMarielAntonio
 
Simple stats maths fun docx
Simple stats maths fun docxSimple stats maths fun docx
Simple stats maths fun docx
GowthamiMetturu
 
Slides February 23rd
Slides February 23rdSlides February 23rd
Slides February 23rdheviatar
 
7.8 simple probability 2
7.8 simple probability   27.8 simple probability   2
7.8 simple probability 2bweldon
 
lesson4-intrduction to probability grade10
lesson4-intrduction to probability grade10lesson4-intrduction to probability grade10
lesson4-intrduction to probability grade10
CharlesIanVArnado
 
5. probability qt 1st tri semester
5. probability qt 1st tri semester 5. probability qt 1st tri semester
5. probability qt 1st tri semester
Karan Kukreja
 
Applied Math 40S February 25, 2008
Applied Math 40S February 25, 2008Applied Math 40S February 25, 2008
Applied Math 40S February 25, 2008
Darren Kuropatwa
 
Achint probability powerpoint
Achint probability powerpointAchint probability powerpoint
Achint probability powerpoint
ecooperms
 
Probability basics and bayes' theorem
Probability basics and bayes' theoremProbability basics and bayes' theorem
Probability basics and bayes' theorem
Balaji P
 
group1-151014013653-lva1-app6891.pdf
group1-151014013653-lva1-app6891.pdfgroup1-151014013653-lva1-app6891.pdf
group1-151014013653-lva1-app6891.pdf
VenkateshPandiri4
 
Probability.pptx
Probability.pptxProbability.pptx
Probability.pptx
MdRasheduzzaman32
 
probability
probabilityprobability
probability
Unsa Shakir
 
Binomial distribution good
Binomial distribution goodBinomial distribution good
Binomial distribution goodZahida Pervaiz
 

Similar to Algebra unit 9.6.2 (20)

7.8 simple probability 1
7.8 simple probability   17.8 simple probability   1
7.8 simple probability 1
 
Probability definitions and properties
Probability definitions and propertiesProbability definitions and properties
Probability definitions and properties
 
(7) Lesson 9.1
(7) Lesson 9.1(7) Lesson 9.1
(7) Lesson 9.1
 
What are the chances? - Probability
What are the chances? - ProbabilityWhat are the chances? - Probability
What are the chances? - Probability
 
Probability 2
Probability 2Probability 2
Probability 2
 
probability-120904030152-phpapp01.pdf
probability-120904030152-phpapp01.pdfprobability-120904030152-phpapp01.pdf
probability-120904030152-phpapp01.pdf
 
PROBABILITY.pptx
PROBABILITY.pptxPROBABILITY.pptx
PROBABILITY.pptx
 
Simple stats maths fun docx
Simple stats maths fun docxSimple stats maths fun docx
Simple stats maths fun docx
 
Slides February 23rd
Slides February 23rdSlides February 23rd
Slides February 23rd
 
7.8 simple probability 2
7.8 simple probability   27.8 simple probability   2
7.8 simple probability 2
 
lesson4-intrduction to probability grade10
lesson4-intrduction to probability grade10lesson4-intrduction to probability grade10
lesson4-intrduction to probability grade10
 
5. probability qt 1st tri semester
5. probability qt 1st tri semester 5. probability qt 1st tri semester
5. probability qt 1st tri semester
 
Applied Math 40S February 25, 2008
Applied Math 40S February 25, 2008Applied Math 40S February 25, 2008
Applied Math 40S February 25, 2008
 
Probability
ProbabilityProbability
Probability
 
Achint probability powerpoint
Achint probability powerpointAchint probability powerpoint
Achint probability powerpoint
 
Probability basics and bayes' theorem
Probability basics and bayes' theoremProbability basics and bayes' theorem
Probability basics and bayes' theorem
 
group1-151014013653-lva1-app6891.pdf
group1-151014013653-lva1-app6891.pdfgroup1-151014013653-lva1-app6891.pdf
group1-151014013653-lva1-app6891.pdf
 
Probability.pptx
Probability.pptxProbability.pptx
Probability.pptx
 
probability
probabilityprobability
probability
 
Binomial distribution good
Binomial distribution goodBinomial distribution good
Binomial distribution good
 

More from Mark Ryder

Algebra 302 unit 11.4
Algebra 302 unit 11.4Algebra 302 unit 11.4
Algebra 302 unit 11.4
Mark Ryder
 
Algebra 2 unit 10.6
Algebra 2 unit 10.6Algebra 2 unit 10.6
Algebra 2 unit 10.6
Mark Ryder
 
Algebra 2 unit 10.7
Algebra 2 unit 10.7Algebra 2 unit 10.7
Algebra 2 unit 10.7Mark Ryder
 
Algebra 2 unit 10.5
Algebra 2 unit 10.5Algebra 2 unit 10.5
Algebra 2 unit 10.5
Mark Ryder
 
Algebra 2 unit 10.4
Algebra 2 unit 10.4Algebra 2 unit 10.4
Algebra 2 unit 10.4
Mark Ryder
 
Algebra 2 unit 10.3
Algebra 2 unit 10.3Algebra 2 unit 10.3
Algebra 2 unit 10.3
Mark Ryder
 
Algebra 2 unit 10.2
Algebra 2 unit 10.2Algebra 2 unit 10.2
Algebra 2 unit 10.2
Mark Ryder
 
11.1 combination and permutations
11.1 combination and permutations11.1 combination and permutations
11.1 combination and permutations
Mark Ryder
 
11.1 11.1 combination and permutations
11.1 11.1 combination and permutations11.1 11.1 combination and permutations
11.1 11.1 combination and permutations
Mark Ryder
 
Geometry 201 unit 5.5
Geometry 201 unit 5.5Geometry 201 unit 5.5
Geometry 201 unit 5.5
Mark Ryder
 
Geometry 201 unit 5.4
Geometry 201 unit 5.4Geometry 201 unit 5.4
Geometry 201 unit 5.4
Mark Ryder
 
Geometry 201 unit 5.3
Geometry 201 unit 5.3Geometry 201 unit 5.3
Geometry 201 unit 5.3
Mark Ryder
 
Geometry 201 unit 4.7
Geometry 201 unit 4.7Geometry 201 unit 4.7
Geometry 201 unit 4.7
Mark Ryder
 
Geometry 201 unit 4.4
Geometry 201 unit 4.4Geometry 201 unit 4.4
Geometry 201 unit 4.4
Mark Ryder
 
Geometry 201 unit 4.2
Geometry 201 unit 4.2Geometry 201 unit 4.2
Geometry 201 unit 4.2
Mark Ryder
 
Geometry 201 unit 3.4
Geometry 201 unit 3.4Geometry 201 unit 3.4
Geometry 201 unit 3.4
Mark Ryder
 
Geometry 201 unit 3.3
Geometry 201 unit 3.3Geometry 201 unit 3.3
Geometry 201 unit 3.3
Mark Ryder
 
Geometry 201 unit 3.2
Geometry 201 unit 3.2Geometry 201 unit 3.2
Geometry 201 unit 3.2
Mark Ryder
 
Geometry 201 unit 2.5
Geometry 201 unit 2.5Geometry 201 unit 2.5
Geometry 201 unit 2.5
Mark Ryder
 
Geometry 201 unit 2.3
Geometry 201 unit 2.3Geometry 201 unit 2.3
Geometry 201 unit 2.3
Mark Ryder
 

More from Mark Ryder (20)

Algebra 302 unit 11.4
Algebra 302 unit 11.4Algebra 302 unit 11.4
Algebra 302 unit 11.4
 
Algebra 2 unit 10.6
Algebra 2 unit 10.6Algebra 2 unit 10.6
Algebra 2 unit 10.6
 
Algebra 2 unit 10.7
Algebra 2 unit 10.7Algebra 2 unit 10.7
Algebra 2 unit 10.7
 
Algebra 2 unit 10.5
Algebra 2 unit 10.5Algebra 2 unit 10.5
Algebra 2 unit 10.5
 
Algebra 2 unit 10.4
Algebra 2 unit 10.4Algebra 2 unit 10.4
Algebra 2 unit 10.4
 
Algebra 2 unit 10.3
Algebra 2 unit 10.3Algebra 2 unit 10.3
Algebra 2 unit 10.3
 
Algebra 2 unit 10.2
Algebra 2 unit 10.2Algebra 2 unit 10.2
Algebra 2 unit 10.2
 
11.1 combination and permutations
11.1 combination and permutations11.1 combination and permutations
11.1 combination and permutations
 
11.1 11.1 combination and permutations
11.1 11.1 combination and permutations11.1 11.1 combination and permutations
11.1 11.1 combination and permutations
 
Geometry 201 unit 5.5
Geometry 201 unit 5.5Geometry 201 unit 5.5
Geometry 201 unit 5.5
 
Geometry 201 unit 5.4
Geometry 201 unit 5.4Geometry 201 unit 5.4
Geometry 201 unit 5.4
 
Geometry 201 unit 5.3
Geometry 201 unit 5.3Geometry 201 unit 5.3
Geometry 201 unit 5.3
 
Geometry 201 unit 4.7
Geometry 201 unit 4.7Geometry 201 unit 4.7
Geometry 201 unit 4.7
 
Geometry 201 unit 4.4
Geometry 201 unit 4.4Geometry 201 unit 4.4
Geometry 201 unit 4.4
 
Geometry 201 unit 4.2
Geometry 201 unit 4.2Geometry 201 unit 4.2
Geometry 201 unit 4.2
 
Geometry 201 unit 3.4
Geometry 201 unit 3.4Geometry 201 unit 3.4
Geometry 201 unit 3.4
 
Geometry 201 unit 3.3
Geometry 201 unit 3.3Geometry 201 unit 3.3
Geometry 201 unit 3.3
 
Geometry 201 unit 3.2
Geometry 201 unit 3.2Geometry 201 unit 3.2
Geometry 201 unit 3.2
 
Geometry 201 unit 2.5
Geometry 201 unit 2.5Geometry 201 unit 2.5
Geometry 201 unit 2.5
 
Geometry 201 unit 2.3
Geometry 201 unit 2.3Geometry 201 unit 2.3
Geometry 201 unit 2.3
 

Recently uploaded

Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
MysoreMuleSoftMeetup
 
Sectors of the Indian Economy - Class 10 Study Notes pdf
Sectors of the Indian Economy - Class 10 Study Notes pdfSectors of the Indian Economy - Class 10 Study Notes pdf
Sectors of the Indian Economy - Class 10 Study Notes pdf
Vivekanand Anglo Vedic Academy
 
The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
GeoBlogs
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
Special education needs
 
Thesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.pptThesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.ppt
EverAndrsGuerraGuerr
 
Basic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersBasic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumers
PedroFerreira53928
 
Polish students' mobility in the Czech Republic
Polish students' mobility in the Czech RepublicPolish students' mobility in the Czech Republic
Polish students' mobility in the Czech Republic
Anna Sz.
 
Template Jadual Bertugas Kelas (Boleh Edit)
Template Jadual Bertugas Kelas (Boleh Edit)Template Jadual Bertugas Kelas (Boleh Edit)
Template Jadual Bertugas Kelas (Boleh Edit)
rosedainty
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Thiyagu K
 
How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17
Celine George
 
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptxMARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
bennyroshan06
 
The Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve ThomasonThe Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve Thomason
Steve Thomason
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
EugeneSaldivar
 
The Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdfThe Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdf
kaushalkr1407
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
Thiyagu K
 
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxStudents, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
EduSkills OECD
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
Delapenabediema
 
Introduction to Quality Improvement Essentials
Introduction to Quality Improvement EssentialsIntroduction to Quality Improvement Essentials
Introduction to Quality Improvement Essentials
Excellence Foundation for South Sudan
 
Cambridge International AS A Level Biology Coursebook - EBook (MaryFosbery J...
Cambridge International AS  A Level Biology Coursebook - EBook (MaryFosbery J...Cambridge International AS  A Level Biology Coursebook - EBook (MaryFosbery J...
Cambridge International AS A Level Biology Coursebook - EBook (MaryFosbery J...
AzmatAli747758
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
Jisc
 

Recently uploaded (20)

Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
 
Sectors of the Indian Economy - Class 10 Study Notes pdf
Sectors of the Indian Economy - Class 10 Study Notes pdfSectors of the Indian Economy - Class 10 Study Notes pdf
Sectors of the Indian Economy - Class 10 Study Notes pdf
 
The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
 
Thesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.pptThesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.ppt
 
Basic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersBasic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumers
 
Polish students' mobility in the Czech Republic
Polish students' mobility in the Czech RepublicPolish students' mobility in the Czech Republic
Polish students' mobility in the Czech Republic
 
Template Jadual Bertugas Kelas (Boleh Edit)
Template Jadual Bertugas Kelas (Boleh Edit)Template Jadual Bertugas Kelas (Boleh Edit)
Template Jadual Bertugas Kelas (Boleh Edit)
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
 
How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17
 
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptxMARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
 
The Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve ThomasonThe Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve Thomason
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
 
The Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdfThe Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdf
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
 
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxStudents, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
 
Introduction to Quality Improvement Essentials
Introduction to Quality Improvement EssentialsIntroduction to Quality Improvement Essentials
Introduction to Quality Improvement Essentials
 
Cambridge International AS A Level Biology Coursebook - EBook (MaryFosbery J...
Cambridge International AS  A Level Biology Coursebook - EBook (MaryFosbery J...Cambridge International AS  A Level Biology Coursebook - EBook (MaryFosbery J...
Cambridge International AS A Level Biology Coursebook - EBook (MaryFosbery J...
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
 

Algebra unit 9.6.2

  • 1. UUNNIITT 99..66 TTHHEEOORREETTIICCAALL PPRROOBBAABBIILLIITTYY
  • 2. Warm Up An experiment consists of spinning a spinner 8 times. The spinner lands on red 4 times, yellow 3 times, and green once. Find the experimental probability of each event. 1. The spinner lands on red. 2. The spinner does not land on green. 3. The spinner lands on yellow.
  • 3. Objectives Determine the theoretical probability of an event. Convert between probabilities and odds.
  • 4. Vocabulary equally likely theoretical probability fair complement odds
  • 5. When the outcomes in the sample space of an experiment have the same chance of occurring, the outcomes are said to be equally likely.
  • 6. The theoretical probability of an event is the ratio of the number of ways the event can occur to the total number of equally likely outcomes.
  • 7. An experiment in which all outcomes are equally likely is said to be fair. You can usually assume that experiments involving coins and number cubes are fair.
  • 8. Example 1A: Finding Theoretical Probability An experiment consists of rolling a number cube. Find the theoretical probability of each outcome. rolling a 5 There is one 5 on a number cube.
  • 9. Example 1B: Finding Theoretical Probability An experiment consists of rolling a number cube. Find the theoretical probability of each outcome. rolling an odd number There 3 odd numbers on a cube. = 0.5 = 50%
  • 10. Example 1C: Finding Theoretical Probability An experiment consists of rolling a number cube. Find the theoretical probability of each outcome. rolling a number less than 3 There are 2 numbers less three.
  • 11. Check It Out! Example 1 An experiment consists of rolling a number cube. Find the theoretical probability of each outcome. a. Rolling an even number There 3 even numbers on a cube. b. Rolling a multiple of 3 = 0.5 = 50% There are 2 multiples of three.
  • 12. Reading Math The probability of an event can be written as P(event). P(heads) means “the probability that heads will be the outcome.”
  • 13. When you toss a coin, there are two possible outcomes, heads or tails. The table below shows the theoretical probabilities and experimental results of tossing a coin 10 times.
  • 14. The sum of the probability of heads and the probability of tails is 1, or 100%. This is because it is certain that one of the two outcomes will always occur. P(event happening) + P(event not happening) = 1
  • 15. The complement of an event is all the outcomes in the sample space that are not included in the event. The sum of the probabilities of an event and its complement is 1, or 100%, because the event will either happen or not happen. P(event) + P(complement of event) = 1
  • 16. Example 2: Finding Probability by Using the Complement A box contains only red, black, and white blocks. The probability of choosing a red block is , the probability of choosing a black block is . What is the probability of choosing a white block? P(red) + P(black) + P(white) = 100% 25% + 50% + P(white) = 100% 75% + P(white) = 100% –75% –75% P(white) = 25% Either it will be a white block or not. Subtract 75% from both sides.
  • 17. Check It Out! Example 2 A jar has green, blue, purple, and white marbles. The probability of choosing a green marble is 0.2, the probability of choosing blue is 0.3, the probability of choosing purple is 0.1. What is the probability of choosing white? Either it will be a white marble or not. P(green) + P(blue) + P(purple) + P(white) = 1.0 0.2 + 0.3 + 0.1 + P(white) = 1.0 0.6 + P(white) = 1.0 – 0.6 – 0.6 Subtract 0.6 from P(white) = 0.4 both sides.
  • 18. Odds are another way to express the likelihood of an event. The odds in favor of an event describe the likelihood that the event will occur. The odds against an event describe the likelihood that the event will not occur. Odds are usually written with a colon in the form a:b, but can also be written as a to b or .
  • 19.
  • 20. The two numbers given as the odds will add up to the total number of possible outcomes. You can use this relationship to convert between odds and probabilities.
  • 21. Reading Math You may see an outcome called “favorable.” This does not mean that the outcome is good or bad. A favorable outcome is the outcome you are looking for in a probability experiment.
  • 22. Example 3A: Converting Between Odds and Probabilities The probability of rolling a 2 on a number cube is . What are the odds of rolling a 2 ? The probability of rolling a 2 is . There are 5 unfavorable outcomes and 1 favorable outcome, thus the odds are 1:5. Odds in favor are 1:5.
  • 23. Example 3B: Converting Between Odds and Probabilities The odds in favor of winning a contest are 1:9. What is the probability of winning the contest? The odds in favor of winning are 1:9, so the odds against are 9:1. This means there is 1 favorable outcome and 9 unfavorable outcomes for a total of 10 possible outcomes. The probability of winning the contest is
  • 24. Example 3C: Converting Between Odds and Probabilities The odds against a spinner landing on red are 2:3. What is the probability of the spinner landing on red? The odds against landing on red are 2:3, so the odds in favor are 3:2. This means there are 3 favorable outcomes and 2 unfavorable outcomes for a total of 5 possible outcomes. The probability of landing on red is
  • 25. Check It Out! Example 3 The odds in favor of winning a free drink are 1:24. What is the probability of winning a free drink? The odds in favor of winning are 1:24, so the odds against are 24:1. This means there is 1 favorable outcome and 24 unfavorable outcomes for a total of 25 possible outcomes. The probability of winning the free drink is
  • 26. Lesson Quiz: Part I Find the theoretical probability of each outcome. 1. Randomly choosing B from the letters in ALGEBRA 2. Rolling a factor of 10 on a number cube 3. The probability that it will be sunny is 15%. What is the probability that it will not be sunny? 85% 4. The probability of choosing a red marble out of a bag of marbles is . What are the odds in favor of choosing a red marble? 3:7
  • 27. Lesson Quiz: Part II Find the theoretical probability of the outcome. 5. The odds against a spinner landing on blue are 7:5. Five sections of the spinner are red. What is the probability of the spinner landing on red?
  • 28. All rights belong to their respective owners. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, TEACHING, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, EDUCATIONAL or personal use tips the balance in favor of fair use.