SlideShare a Scribd company logo
1 of 6
Name ___________________________________ Date ______________________
Mrs. Labuski & Mrs. Rooney Period _______ 11-2 Experimental Probability


   VOCABULARY                 DEFINITION                EXAMPLE
                            An actvitity
                         involving chance          Flipping a coin
 EXPERIMENT
                           that can have            Rolling a die
                         different results.
                                                   Flipping a coin:
                           The different
                                                    Heads or tails
                          results that can
   OUTCOME
                            occur in an
                                                    Rolling a die:
                            experiment
                                                      1,2,3,4,5,6
                                                   Flipping a coin:
                The set of all
                                                   {Heads or tails}
              possible outcomes.
SAMPLE SPACE
              You can use { } to
                                                    Rolling a die:
             show sample spaces
                                                    {1,2,3,4,5,6}
               The ratio of the                    Flipped a coin
               number of times                         4 times
             the event occurs to                   Heads landed
EXPERIMENTAL
             the total number of                       3 times
 PROBABILITY
                   times the
                                                   Probability ≈ ¾
                experiment is
                  performed
For each experiment, identify the outcome shown and the sample space.




outcome: red                                 outcome: yellow

sample space: {red, blue}                    sample space: {red, blue, yellow}

Kerry has a bag of marbles. He removed one marble, recorded the color, and placed
it back in the bag. He repeated this process 15 times and recorded his results in the
frequency table.
         Color Selected          Red          Blue        Black         Green
          Frequency              3            1             5            6

3. Find the experimental probability that a marble selected from the bag will be
blue. 1
      15
4. Find the experimental probability that a marble selected from the bag will be
black. 5 = 1
        15 3
5. Based on Kerry’s experiment, which color marble is he most likely to select from
the bag? green

6. Based on Kerry’s experiment, which color marble is he least likely to select from
the bag? blue

7. In 10 free throws, Pamela made 3 shots. What is the experimental probability that
Pamela will make her next free throw? 3 = 30%
                                           10
8. Juan tossed a fair coin and it landed heads up. What is the outcome and sample
space of this experiment? outcome: heads
                             sample space: {heads, tails}
For each experiment, identify the outcome shown and the sample space.




outcome: green                                outcome:    2

sample space: {red, blue, green}              sample space: {1,2,3,4,5}

Amanda has a standard deck of playing cards. She picked one card, recorded
the suit, and placed it back in the deck. She repeated this process several times
and recorded her results in the table.




3. Find the experimental probability that a card    5
selected from the deck will be a spade.            24

4. Find the experimental probability that a card    4 =1
selected from the deck will be a diamond.          24 6

5. Based on Amanda’s experiment, which card suit is she most likely to select from
the deck? club

6. Based on Amanda’s experiment, which card suit is she least likely to select from
the deck? diamond

7. In 28 coin tosses, John got tails up 14 times. What is the experimental probability
that John will make get tails up on his next toss? 14 = 1 = 50%
                                                    28 2
Name ___________________________________ Date ______________________
Mrs. Labuski & Mrs. Rooney Period _______ 11-2 Experimental Probability


    VOCABULARY                  DEFINITION                 EXAMPLE



  EXPERIMENT


                                                      Flipping a coin:
    OUTCOME
                                                       Rolling a die:



                                                      Flipping a coin:
SAMPLE SPACE
                                                       Rolling a die:



                                                      Flipped a coin
                                                          4 times
EXPERIMENTAL                                          Heads landed
 PROBABILITY                                              3 times
                                                      Probability ≈


For each experiment, identify the outcome shown and the sample space.
outcome: _______________________             outcome: ______________________

sample space: ____________________           sample space: ___________________

Kerry has a bag of marbles. He removed one marble, recorded the color, and placed
it back in the bag. He repeated this process 15 times and recorded his results in the
frequency table.
         Color Selected          Red          Blue        Black         Green
          Frequency              3            1             5            6

3. Find the experimental probability that a marble selected from the bag will be
blue. __________________________________________________________

4. Find the experimental probability that a marble selected from the bag will be
black. __________________________________________________________

5. Based on Kerry’s experiment, which color marble is he most likely to select from
the bag? __________________________________________________________

6. Based on Kerry’s experiment, which color marble is he least likely to select from
the bag? __________________________________________________________

7. In 10 free throws, Pamela made 3 shots. What is the experimental probability that
Pamela will make her next free throw? ____________________________________

8. Juan tossed a fair coin and it landed heads up. What is the outcome and sample
space of this experiment? outcome: _______________________
                             sample space: ____________________
For each experiment, identify the outcome shown and the sample space.
outcome: _______________________              outcome: ______________________

sample space: ____________________            sample space: ___________________

Amanda has a standard deck of playing cards. She picked one card, recorded
the suit, and placed it back in the deck. She repeated this process several times
and recorded her results in the table.




3. Find the experimental probability that a card selected from the deck will be a
spade. _________________________________________________________

4. Find the experimental probability that a card selected from the deck will be a
diamond. _________________________________________________________

5. Based on Amanda’s experiment, which card suit is she most likely to select from
the deck? _________________________________________________________

6. Based on Amanda’s experiment, which card suit is she least likely to select from
the deck? _________________________________________________________

7. In 28 coin tosses, John got tails up 14 times. What is the experimental probability
that John will make get tails up on his next toss? ___________________________

More Related Content

Similar to Lesson 11 2 experimental probability

Basic probability Concepts and its application By Khubaib Raza
Basic probability Concepts and its application By Khubaib RazaBasic probability Concepts and its application By Khubaib Raza
Basic probability Concepts and its application By Khubaib Razakhubiab raza
 
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
 
Lesson 11 5 compound events
Lesson 11 5 compound eventsLesson 11 5 compound events
Lesson 11 5 compound eventsmlabuski
 
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
 
Lesson 11 5 compound events
Lesson 11 5 compound eventsLesson 11 5 compound events
Lesson 11 5 compound eventsmlabuski
 
Pre-Cal 40S Slides May 21, 2008
Pre-Cal 40S Slides May 21, 2008Pre-Cal 40S Slides May 21, 2008
Pre-Cal 40S Slides May 21, 2008Darren Kuropatwa
 
Experimental Probability
Experimental ProbabilityExperimental Probability
Experimental ProbabilityLindsey Brown
 
Slides February 23rd
Slides February 23rdSlides February 23rd
Slides February 23rdheviatar
 
Probability Overview
Probability OverviewProbability Overview
Probability Overviewmmeddin
 
Probabilities, Counting, and Equally Likely Outcomes - Finite Math
Probabilities, Counting, and Equally Likely Outcomes - Finite MathProbabilities, Counting, and Equally Likely Outcomes - Finite Math
Probabilities, Counting, and Equally Likely Outcomes - Finite MathJustin Tallant
 
1 - Probabilty Introduction .ppt
1 - Probabilty Introduction .ppt1 - Probabilty Introduction .ppt
1 - Probabilty Introduction .pptVivek Bhartiya
 
Parallelism and Perpendicularity.pptx
Parallelism and Perpendicularity.pptxParallelism and Perpendicularity.pptx
Parallelism and Perpendicularity.pptxAPPLEJEANYECYEC
 
PROBABILITY BY SHUBHAM
PROBABILITY BY SHUBHAMPROBABILITY BY SHUBHAM
PROBABILITY BY SHUBHAMShubham Kumar
 
Applications rr 1
Applications rr 1Applications rr 1
Applications rr 1Engr umar
 
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
 
Binomial experiments
Binomial experimentsBinomial experiments
Binomial experimentsRobert Tinaro
 
Applied Math 40S March 5, 2008
Applied Math 40S March 5, 2008Applied Math 40S March 5, 2008
Applied Math 40S March 5, 2008Darren Kuropatwa
 

Similar to Lesson 11 2 experimental probability (20)

Basic probability Concepts and its application By Khubaib Raza
Basic probability Concepts and its application By Khubaib RazaBasic probability Concepts and its application By Khubaib Raza
Basic probability Concepts and its application By Khubaib Raza
 
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
 
Lesson 11 5 compound events
Lesson 11 5 compound eventsLesson 11 5 compound events
Lesson 11 5 compound events
 
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
 
Lesson 11 5 compound events
Lesson 11 5 compound eventsLesson 11 5 compound events
Lesson 11 5 compound events
 
Pre-Cal 40S Slides May 21, 2008
Pre-Cal 40S Slides May 21, 2008Pre-Cal 40S Slides May 21, 2008
Pre-Cal 40S Slides May 21, 2008
 
Experimental Probability
Experimental ProbabilityExperimental Probability
Experimental Probability
 
Slides February 23rd
Slides February 23rdSlides February 23rd
Slides February 23rd
 
Probability Overview
Probability OverviewProbability Overview
Probability Overview
 
Probabilities, Counting, and Equally Likely Outcomes - Finite Math
Probabilities, Counting, and Equally Likely Outcomes - Finite MathProbabilities, Counting, and Equally Likely Outcomes - Finite Math
Probabilities, Counting, and Equally Likely Outcomes - Finite Math
 
probability
probabilityprobability
probability
 
1 - Probabilty Introduction .ppt
1 - Probabilty Introduction .ppt1 - Probabilty Introduction .ppt
1 - Probabilty Introduction .ppt
 
Probability
ProbabilityProbability
Probability
 
Parallelism and Perpendicularity.pptx
Parallelism and Perpendicularity.pptxParallelism and Perpendicularity.pptx
Parallelism and Perpendicularity.pptx
 
PROBABILITY BY SHUBHAM
PROBABILITY BY SHUBHAMPROBABILITY BY SHUBHAM
PROBABILITY BY SHUBHAM
 
Applications rr 1
Applications rr 1Applications rr 1
Applications rr 1
 
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
 
Binomial experiments
Binomial experimentsBinomial experiments
Binomial experiments
 
Applied Math 40S March 5, 2008
Applied Math 40S March 5, 2008Applied Math 40S March 5, 2008
Applied Math 40S March 5, 2008
 

More from 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
 

More from 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
 

Recently uploaded

FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
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
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?XfilesPro
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
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
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
[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
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 

Recently uploaded (20)

FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
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
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
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
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
[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
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 

Lesson 11 2 experimental probability

  • 1. Name ___________________________________ Date ______________________ Mrs. Labuski & Mrs. Rooney Period _______ 11-2 Experimental Probability VOCABULARY DEFINITION EXAMPLE An actvitity involving chance Flipping a coin EXPERIMENT that can have Rolling a die different results. Flipping a coin: The different Heads or tails results that can OUTCOME occur in an Rolling a die: experiment 1,2,3,4,5,6 Flipping a coin: The set of all {Heads or tails} possible outcomes. SAMPLE SPACE You can use { } to Rolling a die: show sample spaces {1,2,3,4,5,6} The ratio of the Flipped a coin number of times 4 times the event occurs to Heads landed EXPERIMENTAL the total number of 3 times PROBABILITY times the Probability ≈ ¾ experiment is performed
  • 2. For each experiment, identify the outcome shown and the sample space. outcome: red outcome: yellow sample space: {red, blue} sample space: {red, blue, yellow} Kerry has a bag of marbles. He removed one marble, recorded the color, and placed it back in the bag. He repeated this process 15 times and recorded his results in the frequency table. Color Selected Red Blue Black Green Frequency 3 1 5 6 3. Find the experimental probability that a marble selected from the bag will be blue. 1 15 4. Find the experimental probability that a marble selected from the bag will be black. 5 = 1 15 3 5. Based on Kerry’s experiment, which color marble is he most likely to select from the bag? green 6. Based on Kerry’s experiment, which color marble is he least likely to select from the bag? blue 7. In 10 free throws, Pamela made 3 shots. What is the experimental probability that Pamela will make her next free throw? 3 = 30% 10 8. Juan tossed a fair coin and it landed heads up. What is the outcome and sample space of this experiment? outcome: heads sample space: {heads, tails}
  • 3. For each experiment, identify the outcome shown and the sample space. outcome: green outcome: 2 sample space: {red, blue, green} sample space: {1,2,3,4,5} Amanda has a standard deck of playing cards. She picked one card, recorded the suit, and placed it back in the deck. She repeated this process several times and recorded her results in the table. 3. Find the experimental probability that a card 5 selected from the deck will be a spade. 24 4. Find the experimental probability that a card 4 =1 selected from the deck will be a diamond. 24 6 5. Based on Amanda’s experiment, which card suit is she most likely to select from the deck? club 6. Based on Amanda’s experiment, which card suit is she least likely to select from the deck? diamond 7. In 28 coin tosses, John got tails up 14 times. What is the experimental probability that John will make get tails up on his next toss? 14 = 1 = 50% 28 2
  • 4. Name ___________________________________ Date ______________________ Mrs. Labuski & Mrs. Rooney Period _______ 11-2 Experimental Probability VOCABULARY DEFINITION EXAMPLE EXPERIMENT Flipping a coin: OUTCOME Rolling a die: Flipping a coin: SAMPLE SPACE Rolling a die: Flipped a coin 4 times EXPERIMENTAL Heads landed PROBABILITY 3 times Probability ≈ For each experiment, identify the outcome shown and the sample space.
  • 5. outcome: _______________________ outcome: ______________________ sample space: ____________________ sample space: ___________________ Kerry has a bag of marbles. He removed one marble, recorded the color, and placed it back in the bag. He repeated this process 15 times and recorded his results in the frequency table. Color Selected Red Blue Black Green Frequency 3 1 5 6 3. Find the experimental probability that a marble selected from the bag will be blue. __________________________________________________________ 4. Find the experimental probability that a marble selected from the bag will be black. __________________________________________________________ 5. Based on Kerry’s experiment, which color marble is he most likely to select from the bag? __________________________________________________________ 6. Based on Kerry’s experiment, which color marble is he least likely to select from the bag? __________________________________________________________ 7. In 10 free throws, Pamela made 3 shots. What is the experimental probability that Pamela will make her next free throw? ____________________________________ 8. Juan tossed a fair coin and it landed heads up. What is the outcome and sample space of this experiment? outcome: _______________________ sample space: ____________________ For each experiment, identify the outcome shown and the sample space.
  • 6. outcome: _______________________ outcome: ______________________ sample space: ____________________ sample space: ___________________ Amanda has a standard deck of playing cards. She picked one card, recorded the suit, and placed it back in the deck. She repeated this process several times and recorded her results in the table. 3. Find the experimental probability that a card selected from the deck will be a spade. _________________________________________________________ 4. Find the experimental probability that a card selected from the deck will be a diamond. _________________________________________________________ 5. Based on Amanda’s experiment, which card suit is she most likely to select from the deck? _________________________________________________________ 6. Based on Amanda’s experiment, which card suit is she least likely to select from the deck? _________________________________________________________ 7. In 28 coin tosses, John got tails up 14 times. What is the experimental probability that John will make get tails up on his next toss? ___________________________