SlideShare una empresa de Scribd logo
1 de 7
Name _______________________________                     Date _____________________
Mrs. Labuski & Mrs. Rooney Period ____                   Lesson 11-5 Compound Events

VOCABULARY                                  DEFINTION                  EXAMPLE

 Compound                                                              See below
   Event




To find the probability of landing on one and black, first make a list of all the
possibilities.

                                                  Number Spinner
                                              1     2       3      4
                   Number Spinner




                                    Black


                                    White



There are __________ possible outcomes.

Next, find the number of outcomes that have one and black.
There are two outcomes that have one and black.
Then find the probability.

P(1, black) =             ways the event can occur       =
                           possible outcomes
You can also use a tree diagram to see the possible outcomes




Step One:                   Step Two:                    Step Three:
Toss a fair coin            Spin the spinner             Choose a marble

What is the probability that the coin will show heads, the spinner will land on three
and you will choose a black marble?

Draw a tree diagram:
COIN SPINNER MARBLE                                  OUTCOME




There are __________ equally likely outcomes.

P(heads, 1, black) =
1. What is the probability of the
spinner landing on B both times? ______________

2. What is the probability of the
spinner landing on B, then C? _________________

3. What is the probability of the spinner
landing on a vowel and then a consonant? _________________

4. What is the probability of not spinning D either time? _____________________

A coin is tossed three times.
5. How many possible outcomes are there? Make a tree diagram




6. What is the probability of the coin landing heads up three times? ____________

7. What is the probability of the coin landing heads up twice and tails up once? ___

There are five cards numbered 1, 2, 3, 4, and 5 in a bag. Each time a card is
drawn, it is replaced. Find the probability of each event.
8. P(1, then 2)                             9. P(4, then 4)




10. P(2, then odd)                           11. P(even, then 5)



12. What is the probability of a coin landing on heads and a number cube landing
on an even number?
Name _______________________________                         Date _____________________
Mrs. Labuski & Mrs. Rooney Period ____                       Lesson 11-5 Compound Events

VOCABULARY                                    DEFINTION                        EXAMPLE
                                      A compound event
 Compound
                                      consists of two or                       See below
   Event
                                      more single events.




To find the probability of landing on one and black, first make a list of all the
possibilities.

                                                     Number Spinner
                                                1      2       3          4
                     Number Spinner




                                      Black     B1     B2        B3       B4


                                      White    W1     W2         W3       W4


There are 8 possible outcomes.

Next, find the number of outcomes that have one and black.
There are two outcomes that have one and black.
Then find the probability.

P(1, black) =    1                ways the event can occur   =        1
                 8                possible outcomes                   8
You can also use a tree diagram to see the possible outcomes




Step One:                   Step Two:                    Step Three:
Toss a fair coin            Spin the spinner             Choose a marble

What is the probability that the coin will show heads, the spinner will land on three
and you will chose a black marble?

Draw a tree diagram:
COIN SPINNER MARBLE                                   OUTCOME
                      White       heads, 1, white
             1        Black       heads, 1, black
                     Striped      heads, 1, striped
                      White       heads, 2, white
heads        2        Black       heads, 2, black
                     Striped      heads, 2, striped
                      White       heads, 3, white
             3        Black       heads, 3, black
                     Striped      heads, 3, striped
                      White       heads, 1, white
             1        Black       tails, 1, black
                     Striped      tails, 1, striped
                      White       tails, 2, white
 tails       2        Black       tails, 2, black
                     Striped      tails, 2, striped
                      White       tails, 3, white
             3        Black       tails, 3, black
                     Striped      tails, 3, striped
There are 18equally likely outcomes.

P(heads, 1, black) = 1
                    18
1. What is the probability of the
spinner landing on B both times? _____      _________

2. What is the probability of the
spinner landing on B, then C? ___    ______________

3. What is the probability of the spinner
landing on a vowel and then a consonant?

                       4. What is the probability of not spinning D either time? __
                           _________________

                       A coin is tossed three times.
                       5. How many possible outcomes are there? Make a tree
                       diagram 8 outcomes

                       6. What is the probability of the coin landing heads up three
times? ____ ________

7. What is the probability of the coin landing heads up twice and tails up once? _
               __

               There are five cards numbered 1, 2, 3, 4, and 5 in a bag. Each
               time a card is drawn, it is replaced. Find the probability of each
               event.
               8. P(1, then 2)                    9. P(4, then 4)
                1                                 1
               25                                       25

10. P(2, then odd)                           11. P(even, then 5)
3                                                   2
25                                               25

12. What is the probability of a coin landing on heads and a number cube landing
on an even number?
1
4

Más contenido relacionado

Similar a Lesson 11 5 compound events

Probability for GCSE
Probability for GCSEProbability for GCSE
Probability for GCSESteve Bishop
 
probability 2.ppt
probability 2.pptprobability 2.ppt
probability 2.pptIzah Catli
 
Week-7_Day-1_Complementary-Events_PPT.pptx
Week-7_Day-1_Complementary-Events_PPT.pptxWeek-7_Day-1_Complementary-Events_PPT.pptx
Week-7_Day-1_Complementary-Events_PPT.pptxDariusRosete
 
Gambling standard
Gambling standardGambling standard
Gambling standardTarun bhatt
 
Introduction to probability
Introduction to probabilityIntroduction to probability
Introduction to probabilityindianeducation
 
Lesson 11 3 theoretical probability
Lesson 11 3 theoretical probabilityLesson 11 3 theoretical probability
Lesson 11 3 theoretical probabilitymlabuski
 
Lesson 11 3 theoretical probability
Lesson 11 3 theoretical probabilityLesson 11 3 theoretical probability
Lesson 11 3 theoretical probabilitymlabuski
 
9.1 Simple Events
9.1 Simple Events9.1 Simple Events
9.1 Simple Eventsrlowery
 
Probability Grade 10 Third Quarter Lessons
Probability Grade 10 Third Quarter LessonsProbability Grade 10 Third Quarter Lessons
Probability Grade 10 Third Quarter LessonsJoseMangaJr1
 
Probability in and Ancient Game
Probability in and Ancient GameProbability in and Ancient Game
Probability in and Ancient Gamerodecss
 
Applied Math 40S March 5, 2008
Applied Math 40S March 5, 2008Applied Math 40S March 5, 2008
Applied Math 40S March 5, 2008Darren Kuropatwa
 
Probability f5
Probability f5Probability f5
Probability f5smaplabu
 
PROBABILITY
PROBABILITYPROBABILITY
PROBABILITYsmaplabu
 
Probability 6 on ppt
Probability 6 on pptProbability 6 on ppt
Probability 6 on pptpottert1
 
PROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptx
PROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptxPROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptx
PROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptxZorennaPlanas1
 

Similar a Lesson 11 5 compound events (20)

Probability for GCSE
Probability for GCSEProbability for GCSE
Probability for GCSE
 
probability 2.ppt
probability 2.pptprobability 2.ppt
probability 2.ppt
 
Week-7_Day-1_Complementary-Events_PPT.pptx
Week-7_Day-1_Complementary-Events_PPT.pptxWeek-7_Day-1_Complementary-Events_PPT.pptx
Week-7_Day-1_Complementary-Events_PPT.pptx
 
Gambling standard
Gambling standardGambling standard
Gambling standard
 
SIM Basic Probability
SIM Basic ProbabilitySIM Basic Probability
SIM Basic Probability
 
Introduction to probability
Introduction to probabilityIntroduction to probability
Introduction to probability
 
Lesson 11 3 theoretical probability
Lesson 11 3 theoretical probabilityLesson 11 3 theoretical probability
Lesson 11 3 theoretical probability
 
Lesson 11 3 theoretical probability
Lesson 11 3 theoretical probabilityLesson 11 3 theoretical probability
Lesson 11 3 theoretical probability
 
9.1 Simple Events
9.1 Simple Events9.1 Simple Events
9.1 Simple Events
 
Probability Grade 10 Third Quarter Lessons
Probability Grade 10 Third Quarter LessonsProbability Grade 10 Third Quarter Lessons
Probability Grade 10 Third Quarter Lessons
 
Probability in and Ancient Game
Probability in and Ancient GameProbability in and Ancient Game
Probability in and Ancient Game
 
Applied Math 40S March 5, 2008
Applied Math 40S March 5, 2008Applied Math 40S March 5, 2008
Applied Math 40S March 5, 2008
 
Probability f5
Probability f5Probability f5
Probability f5
 
PROBABILITY
PROBABILITYPROBABILITY
PROBABILITY
 
LAILA BALINADO COT 2.pptx
LAILA BALINADO COT 2.pptxLAILA BALINADO COT 2.pptx
LAILA BALINADO COT 2.pptx
 
Intro to probability
Intro to probabilityIntro to probability
Intro to probability
 
Probability 6 on ppt
Probability 6 on pptProbability 6 on ppt
Probability 6 on ppt
 
PROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptx
PROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptxPROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptx
PROBABILITY BY ZOEN CUTE KAAYO SA KATANAN.pptx
 
Intro to probability - 1
Intro to probability - 1Intro to probability - 1
Intro to probability - 1
 
Compound Events
Compound EventsCompound Events
Compound Events
 

Más de mlabuski

Quiz week 1 & 2 study guide
Quiz week 1 & 2 study guideQuiz week 1 & 2 study guide
Quiz week 1 & 2 study guidemlabuski
 
Quiz week 1 & 2 practice
Quiz week 1 & 2 practiceQuiz week 1 & 2 practice
Quiz week 1 & 2 practicemlabuski
 
Welcome to social studies
Welcome to social studiesWelcome to social studies
Welcome to social studiesmlabuski
 
Team orion supply list 15 16
Team orion supply list 15 16Team orion supply list 15 16
Team orion supply list 15 16mlabuski
 
Literature letter graphic organizer
Literature letter graphic organizerLiterature letter graphic organizer
Literature letter graphic organizermlabuski
 
Team orion supply list 15 16
Team orion supply list 15 16Team orion supply list 15 16
Team orion supply list 15 16mlabuski
 
Literature letters revised
Literature letters revisedLiterature letters revised
Literature letters revisedmlabuski
 
Final exam review sheet # 2 2015
Final exam review sheet # 2 2015Final exam review sheet # 2 2015
Final exam review sheet # 2 2015mlabuski
 
Final exam review sheet # 3 2015
Final exam review sheet # 3 2015Final exam review sheet # 3 2015
Final exam review sheet # 3 2015mlabuski
 
Final exam review sheet # 1 2015
Final exam review sheet # 1 2015Final exam review sheet # 1 2015
Final exam review sheet # 1 2015mlabuski
 
Lessons 12 13 merged
Lessons 12 13 mergedLessons 12 13 merged
Lessons 12 13 mergedmlabuski
 
Mod 5 lesson 12 13
Mod 5 lesson 12 13Mod 5 lesson 12 13
Mod 5 lesson 12 13mlabuski
 
G6 m5-c-lesson 13-t
G6 m5-c-lesson 13-tG6 m5-c-lesson 13-t
G6 m5-c-lesson 13-tmlabuski
 
G6 m5-c-lesson 13-s
G6 m5-c-lesson 13-sG6 m5-c-lesson 13-s
G6 m5-c-lesson 13-smlabuski
 
G6 m5-c-lesson 12-t
G6 m5-c-lesson 12-tG6 m5-c-lesson 12-t
G6 m5-c-lesson 12-tmlabuski
 
G6 m5-c-lesson 12-s
G6 m5-c-lesson 12-sG6 m5-c-lesson 12-s
G6 m5-c-lesson 12-smlabuski
 
Mod 5 lesson 9
Mod 5 lesson 9Mod 5 lesson 9
Mod 5 lesson 9mlabuski
 
G6 m5-b-lesson 9-t
G6 m5-b-lesson 9-tG6 m5-b-lesson 9-t
G6 m5-b-lesson 9-tmlabuski
 
G6 m5-b-lesson 9-s
G6 m5-b-lesson 9-sG6 m5-b-lesson 9-s
G6 m5-b-lesson 9-smlabuski
 
Mod 5 lesson 8
Mod 5 lesson 8Mod 5 lesson 8
Mod 5 lesson 8mlabuski
 

Más de mlabuski (20)

Quiz week 1 & 2 study guide
Quiz week 1 & 2 study guideQuiz week 1 & 2 study guide
Quiz week 1 & 2 study guide
 
Quiz week 1 & 2 practice
Quiz week 1 & 2 practiceQuiz week 1 & 2 practice
Quiz week 1 & 2 practice
 
Welcome to social studies
Welcome to social studiesWelcome to social studies
Welcome to social studies
 
Team orion supply list 15 16
Team orion supply list 15 16Team orion supply list 15 16
Team orion supply list 15 16
 
Literature letter graphic organizer
Literature letter graphic organizerLiterature letter graphic organizer
Literature letter graphic organizer
 
Team orion supply list 15 16
Team orion supply list 15 16Team orion supply list 15 16
Team orion supply list 15 16
 
Literature letters revised
Literature letters revisedLiterature letters revised
Literature letters revised
 
Final exam review sheet # 2 2015
Final exam review sheet # 2 2015Final exam review sheet # 2 2015
Final exam review sheet # 2 2015
 
Final exam review sheet # 3 2015
Final exam review sheet # 3 2015Final exam review sheet # 3 2015
Final exam review sheet # 3 2015
 
Final exam review sheet # 1 2015
Final exam review sheet # 1 2015Final exam review sheet # 1 2015
Final exam review sheet # 1 2015
 
Lessons 12 13 merged
Lessons 12 13 mergedLessons 12 13 merged
Lessons 12 13 merged
 
Mod 5 lesson 12 13
Mod 5 lesson 12 13Mod 5 lesson 12 13
Mod 5 lesson 12 13
 
G6 m5-c-lesson 13-t
G6 m5-c-lesson 13-tG6 m5-c-lesson 13-t
G6 m5-c-lesson 13-t
 
G6 m5-c-lesson 13-s
G6 m5-c-lesson 13-sG6 m5-c-lesson 13-s
G6 m5-c-lesson 13-s
 
G6 m5-c-lesson 12-t
G6 m5-c-lesson 12-tG6 m5-c-lesson 12-t
G6 m5-c-lesson 12-t
 
G6 m5-c-lesson 12-s
G6 m5-c-lesson 12-sG6 m5-c-lesson 12-s
G6 m5-c-lesson 12-s
 
Mod 5 lesson 9
Mod 5 lesson 9Mod 5 lesson 9
Mod 5 lesson 9
 
G6 m5-b-lesson 9-t
G6 m5-b-lesson 9-tG6 m5-b-lesson 9-t
G6 m5-b-lesson 9-t
 
G6 m5-b-lesson 9-s
G6 m5-b-lesson 9-sG6 m5-b-lesson 9-s
G6 m5-b-lesson 9-s
 
Mod 5 lesson 8
Mod 5 lesson 8Mod 5 lesson 8
Mod 5 lesson 8
 

Último

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesBoston Institute of Analytics
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilV3cube
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 

Último (20)

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of Brazil
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 

Lesson 11 5 compound events

  • 1. Name _______________________________ Date _____________________ Mrs. Labuski & Mrs. Rooney Period ____ Lesson 11-5 Compound Events VOCABULARY DEFINTION EXAMPLE Compound See below Event To find the probability of landing on one and black, first make a list of all the possibilities. Number Spinner 1 2 3 4 Number Spinner Black White There are __________ possible outcomes. Next, find the number of outcomes that have one and black. There are two outcomes that have one and black. Then find the probability. P(1, black) = ways the event can occur = possible outcomes
  • 2. You can also use a tree diagram to see the possible outcomes Step One: Step Two: Step Three: Toss a fair coin Spin the spinner Choose a marble What is the probability that the coin will show heads, the spinner will land on three and you will choose a black marble? Draw a tree diagram: COIN SPINNER MARBLE OUTCOME There are __________ equally likely outcomes. P(heads, 1, black) =
  • 3. 1. What is the probability of the spinner landing on B both times? ______________ 2. What is the probability of the spinner landing on B, then C? _________________ 3. What is the probability of the spinner landing on a vowel and then a consonant? _________________ 4. What is the probability of not spinning D either time? _____________________ A coin is tossed three times. 5. How many possible outcomes are there? Make a tree diagram 6. What is the probability of the coin landing heads up three times? ____________ 7. What is the probability of the coin landing heads up twice and tails up once? ___ There are five cards numbered 1, 2, 3, 4, and 5 in a bag. Each time a card is drawn, it is replaced. Find the probability of each event. 8. P(1, then 2) 9. P(4, then 4) 10. P(2, then odd) 11. P(even, then 5) 12. What is the probability of a coin landing on heads and a number cube landing on an even number?
  • 4. Name _______________________________ Date _____________________ Mrs. Labuski & Mrs. Rooney Period ____ Lesson 11-5 Compound Events VOCABULARY DEFINTION EXAMPLE A compound event Compound consists of two or See below Event more single events. To find the probability of landing on one and black, first make a list of all the possibilities. Number Spinner 1 2 3 4 Number Spinner Black B1 B2 B3 B4 White W1 W2 W3 W4 There are 8 possible outcomes. Next, find the number of outcomes that have one and black. There are two outcomes that have one and black. Then find the probability. P(1, black) = 1 ways the event can occur = 1 8 possible outcomes 8
  • 5. You can also use a tree diagram to see the possible outcomes Step One: Step Two: Step Three: Toss a fair coin Spin the spinner Choose a marble What is the probability that the coin will show heads, the spinner will land on three and you will chose a black marble? Draw a tree diagram: COIN SPINNER MARBLE OUTCOME White heads, 1, white 1 Black heads, 1, black Striped heads, 1, striped White heads, 2, white heads 2 Black heads, 2, black Striped heads, 2, striped White heads, 3, white 3 Black heads, 3, black Striped heads, 3, striped White heads, 1, white 1 Black tails, 1, black Striped tails, 1, striped White tails, 2, white tails 2 Black tails, 2, black Striped tails, 2, striped White tails, 3, white 3 Black tails, 3, black Striped tails, 3, striped
  • 6. There are 18equally likely outcomes. P(heads, 1, black) = 1 18 1. What is the probability of the spinner landing on B both times? _____ _________ 2. What is the probability of the spinner landing on B, then C? ___ ______________ 3. What is the probability of the spinner landing on a vowel and then a consonant? 4. What is the probability of not spinning D either time? __ _________________ A coin is tossed three times. 5. How many possible outcomes are there? Make a tree diagram 8 outcomes 6. What is the probability of the coin landing heads up three times? ____ ________ 7. What is the probability of the coin landing heads up twice and tails up once? _ __ There are five cards numbered 1, 2, 3, 4, and 5 in a bag. Each time a card is drawn, it is replaced. Find the probability of each event. 8. P(1, then 2) 9. P(4, then 4) 1 1 25 25 10. P(2, then odd) 11. P(even, then 5) 3 2
  • 7. 25 25 12. What is the probability of a coin landing on heads and a number cube landing on an even number? 1 4