SlideShare a Scribd company logo
Drill 1/8/13
The MD license plate for a
car consists of 3 letters
followed by 3 numbers. If
you can’t use I, O, or U for
letters, how many different
possible plates can be
created?
OBJECTIVE
 Perform probability
simulations to model
real-world situations
involving uncertainty
PROBABILITY SIMULATIONS
Tool: something you can
use to simulate your
experiment
Rule: What outcome is
assigned to what
SOME TOOLS
Dice
Coin
Spinner
Random Number
Generator (calculator)
Others…
EXAMPLE
There are 6 cars to
choose from. What tool
would you use to simulate
the probability of
choosing each car? What
rule would you use?
EXAMPLE
Suppose you are taking a
True False quiz. What
tool could be used to
simulate the probability of
each question? What rule
would you use?
Rules for Tools
It is always safe to use a random number
generator.
Take the percent you are given and turn it
into a fraction.
The bottom number tells you how many
section to have in your spinner or how
many numbers to choose from.
The top number tells you how many
represent good outcomes.
Directions
For each following scenario
design a simulation that can be
used to determine the probability
of the given outcome. Be sure to
select a probability tool, decide on
the rule, and describe the length
and number of trials to determine
the probability.
Example
At Hershey Park, accountants
have found that 60% of the
admissions are for children
between the ages of 10 and 16.
Design a simulation that could
be used to determine the
probability that 5 guests are
between the ages of 10 and 16.
Example

There is a 50% chance that a
baby that is born will be a girl.
Design a simulation that could
be used to determine the
probability that a family with 4
kids has all boys.
Example
Suppose there is a 35% chance
that a student will have a pet cat.
Design a simulation that could be
used to determine the probability
that 3 randomly chosen students
will have a pet cat.
POD
Martin is planning a trip to Spain. They
say that the rain in Spain falls mainly on
the plain. Suppose there is a 70% chance
that it will be sunny on any given day in
Spain. Design a simulation that could be
used to determine the probability that it will
be sunny for all 7 days of Martin’s
vacation.
POD
Martin is planning a trip to Spain. They
say that the rain in Spain falls mainly on
the plain. Suppose there is a 70% chance
that it will be sunny on any given day in
Spain. Design a simulation that could be
used to determine the probability that it will
be sunny for all 7 days of Martin’s
vacation.
PROBABILITY SIMULATIONS
Tool: ______________
_____________________
_____________________
Rule: ________________
_____________________
SOME TOOLS
Dice
Coin
Spinner
Random Number
Generator (calculator)
Others…
EXAMPLE
There are 6 cars to choose from. What tool
would you use to simulate the probability of
choosing each car? What rule would you
use?
EXAMPLE
Suppose you are taking a True False quiz.
What tool could be used to simulate the
probability of each question? What rule
would you use?
Rules for Tools
It is always safe to use a random number
generator.
Take the percent you are given and turn it
into a fraction.
The bottom number tells you how many
section to have in your spinner or how
many numbers to choose from.
The top number tells you how many
represent good outcomes.
Directions
For each following scenario
design a simulation that can be
used to determine the probability
of the given outcome. Be sure to
select a probability tool, decide on
the rule, and describe the length
and number of trials to determine
the probability.
Example
At Hershey Park, accountants
have found that 60% of the
admissions are for children
between the ages of 10 and 16.
Design a simulation that could
be used to determine the
probability that 5 guests are
between the ages of 10 and 16.
Example

There is a 50% chance that a
baby that is born will be a girl.
Design a simulation that could
be used to determine the
probability that a family with 4
kids has all boys.
Example
Suppose there is a 35% chance
that a student will have a pet cat.
Design a simulation that could be
used to determine the probability
that 3 randomly chosen students
will have a pet cat.
F.12 simulations

More Related Content

Viewers also liked

004 pythagorean thm
004 pythagorean thm004 pythagorean thm
004 pythagorean thmjbianco9910
 
Olivia’s math problem2
Olivia’s math problem2Olivia’s math problem2
Olivia’s math problem2
jbianco9910
 
Chapter4005 ssssasasatrainglecong
Chapter4005 ssssasasatrainglecongChapter4005 ssssasasatrainglecong
Chapter4005 ssssasasatrainglecongjbianco9910
 
Chapter 5 unit f 003 review and more updated
Chapter 5 unit f 003 review and more updatedChapter 5 unit f 003 review and more updated
Chapter 5 unit f 003 review and more updatedjbianco9910
 
5002 more with perp and angle bisector and cea updated
5002 more with perp and angle bisector and cea updated5002 more with perp and angle bisector and cea updated
5002 more with perp and angle bisector and cea updatedjbianco9910
 
1004 review of postualtes definitions etc
1004 review of postualtes definitions etc1004 review of postualtes definitions etc
1004 review of postualtes definitions etcjbianco9910
 
Quads factored form updated with answers
Quads factored form updated with answers Quads factored form updated with answers
Quads factored form updated with answers jbianco9910
 
Olivia’s math problem
Olivia’s math problemOlivia’s math problem
Olivia’s math problem
jbianco9910
 
Parralelogram day 1 with answersupdated
Parralelogram day 1 with answersupdated  Parralelogram day 1 with answersupdated
Parralelogram day 1 with answersupdated jbianco9910
 
Chapter 5 day 4 pythagorean thm
Chapter 5 day 4  pythagorean thmChapter 5 day 4  pythagorean thm
Chapter 5 day 4 pythagorean thmjbianco9910
 
Proving quads are parralelograms
Proving quads are parralelogramsProving quads are parralelograms
Proving quads are parralelogramsjbianco9910
 

Viewers also liked (13)

004 pythagorean thm
004 pythagorean thm004 pythagorean thm
004 pythagorean thm
 
Olivia’s math problem2
Olivia’s math problem2Olivia’s math problem2
Olivia’s math problem2
 
Chapter4005 ssssasasatrainglecong
Chapter4005 ssssasasatrainglecongChapter4005 ssssasasatrainglecong
Chapter4005 ssssasasatrainglecong
 
Chapter 5 unit f 003 review and more updated
Chapter 5 unit f 003 review and more updatedChapter 5 unit f 003 review and more updated
Chapter 5 unit f 003 review and more updated
 
5002 more with perp and angle bisector and cea updated
5002 more with perp and angle bisector and cea updated5002 more with perp and angle bisector and cea updated
5002 more with perp and angle bisector and cea updated
 
Lesson 2.1 day1
Lesson 2.1 day1Lesson 2.1 day1
Lesson 2.1 day1
 
Chapter 5 day 3
Chapter 5 day 3Chapter 5 day 3
Chapter 5 day 3
 
1004 review of postualtes definitions etc
1004 review of postualtes definitions etc1004 review of postualtes definitions etc
1004 review of postualtes definitions etc
 
Quads factored form updated with answers
Quads factored form updated with answers Quads factored form updated with answers
Quads factored form updated with answers
 
Olivia’s math problem
Olivia’s math problemOlivia’s math problem
Olivia’s math problem
 
Parralelogram day 1 with answersupdated
Parralelogram day 1 with answersupdated  Parralelogram day 1 with answersupdated
Parralelogram day 1 with answersupdated
 
Chapter 5 day 4 pythagorean thm
Chapter 5 day 4  pythagorean thmChapter 5 day 4  pythagorean thm
Chapter 5 day 4 pythagorean thm
 
Proving quads are parralelograms
Proving quads are parralelogramsProving quads are parralelograms
Proving quads are parralelograms
 

Similar to F.12 simulations

Chapter 4
Chapter 4Chapter 4
Chapter 4
MaryWall14
 
LAILA BALINADO COT 2.pptx
LAILA BALINADO COT 2.pptxLAILA BALINADO COT 2.pptx
LAILA BALINADO COT 2.pptx
LailaVispoBalinado
 
(7) Lesson 9.5
(7) Lesson 9.5(7) Lesson 9.5
(7) Lesson 9.5
wzuri
 
Answer questions Minimum 100 words each and reference (questions.docx
Answer questions Minimum 100 words each and reference (questions.docxAnswer questions Minimum 100 words each and reference (questions.docx
Answer questions Minimum 100 words each and reference (questions.docx
nolanalgernon
 
(7) Lesson 9.1
(7) Lesson 9.1(7) Lesson 9.1
(7) Lesson 9.1
wzuri
 
(7) Lesson 9.4
(7) Lesson 9.4(7) Lesson 9.4
(7) Lesson 9.4
wzuri
 
Applied Math 40S February 27, 2008
Applied Math 40S February 27, 2008Applied Math 40S February 27, 2008
Applied Math 40S February 27, 2008
Darren Kuropatwa
 
35813 Topic Discussion2Number of Pages 1 (Double Spaced).docx
35813 Topic Discussion2Number of Pages 1 (Double Spaced).docx35813 Topic Discussion2Number of Pages 1 (Double Spaced).docx
35813 Topic Discussion2Number of Pages 1 (Double Spaced).docx
rhetttrevannion
 
Naive Bayes Algorithm for Decision Making
Naive Bayes Algorithm for Decision MakingNaive Bayes Algorithm for Decision Making
Naive Bayes Algorithm for Decision Making
rahmedraj93
 
1 Review and Practice Exam Questions for Exam 2 Lea.docx
1  Review and Practice Exam Questions for Exam 2 Lea.docx1  Review and Practice Exam Questions for Exam 2 Lea.docx
1 Review and Practice Exam Questions for Exam 2 Lea.docx
mercysuttle
 
35845 Topic Group AssignmentNumber of Pages 1 (Double Spaced.docx
35845 Topic Group AssignmentNumber of Pages 1 (Double Spaced.docx35845 Topic Group AssignmentNumber of Pages 1 (Double Spaced.docx
35845 Topic Group AssignmentNumber of Pages 1 (Double Spaced.docx
rhetttrevannion
 
2014 simulations
2014 simulations2014 simulations
2014 simulations
Kate FLR
 
Chapter 06
Chapter 06Chapter 06
Chapter 06bmcfad01
 
Quantitative Methods for Lawyers - Class #15 - R Boot Camp - Part 2 - Profess...
Quantitative Methods for Lawyers - Class #15 - R Boot Camp - Part 2 - Profess...Quantitative Methods for Lawyers - Class #15 - R Boot Camp - Part 2 - Profess...
Quantitative Methods for Lawyers - Class #15 - R Boot Camp - Part 2 - Profess...
Daniel Katz
 
statiscs and probability math college to help student
statiscs and probability math college  to help studentstatiscs and probability math college  to help student
statiscs and probability math college to help student
charlezeannprodonram
 
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
 
The Fundamental Counting Principle
The Fundamental Counting PrincipleThe Fundamental Counting Principle
The Fundamental Counting Principle
Ted Gallano
 

Similar to F.12 simulations (20)

Chapter 4
Chapter 4Chapter 4
Chapter 4
 
LAILA BALINADO COT 2.pptx
LAILA BALINADO COT 2.pptxLAILA BALINADO COT 2.pptx
LAILA BALINADO COT 2.pptx
 
(7) Lesson 9.5
(7) Lesson 9.5(7) Lesson 9.5
(7) Lesson 9.5
 
Answer questions Minimum 100 words each and reference (questions.docx
Answer questions Minimum 100 words each and reference (questions.docxAnswer questions Minimum 100 words each and reference (questions.docx
Answer questions Minimum 100 words each and reference (questions.docx
 
(7) Lesson 9.1
(7) Lesson 9.1(7) Lesson 9.1
(7) Lesson 9.1
 
(7) Lesson 9.4
(7) Lesson 9.4(7) Lesson 9.4
(7) Lesson 9.4
 
Applied Math 40S February 27, 2008
Applied Math 40S February 27, 2008Applied Math 40S February 27, 2008
Applied Math 40S February 27, 2008
 
35813 Topic Discussion2Number of Pages 1 (Double Spaced).docx
35813 Topic Discussion2Number of Pages 1 (Double Spaced).docx35813 Topic Discussion2Number of Pages 1 (Double Spaced).docx
35813 Topic Discussion2Number of Pages 1 (Double Spaced).docx
 
Naive Bayes Algorithm for Decision Making
Naive Bayes Algorithm for Decision MakingNaive Bayes Algorithm for Decision Making
Naive Bayes Algorithm for Decision Making
 
Simulation
SimulationSimulation
Simulation
 
1 Review and Practice Exam Questions for Exam 2 Lea.docx
1  Review and Practice Exam Questions for Exam 2 Lea.docx1  Review and Practice Exam Questions for Exam 2 Lea.docx
1 Review and Practice Exam Questions for Exam 2 Lea.docx
 
35845 Topic Group AssignmentNumber of Pages 1 (Double Spaced.docx
35845 Topic Group AssignmentNumber of Pages 1 (Double Spaced.docx35845 Topic Group AssignmentNumber of Pages 1 (Double Spaced.docx
35845 Topic Group AssignmentNumber of Pages 1 (Double Spaced.docx
 
2014 simulations
2014 simulations2014 simulations
2014 simulations
 
Chapter 06
Chapter 06Chapter 06
Chapter 06
 
Quantitative Methods for Lawyers - Class #15 - R Boot Camp - Part 2 - Profess...
Quantitative Methods for Lawyers - Class #15 - R Boot Camp - Part 2 - Profess...Quantitative Methods for Lawyers - Class #15 - R Boot Camp - Part 2 - Profess...
Quantitative Methods for Lawyers - Class #15 - R Boot Camp - Part 2 - Profess...
 
statiscs and probability math college to help student
statiscs and probability math college  to help studentstatiscs and probability math college  to help student
statiscs and probability math college to help student
 
Applied Math 40S February 25, 2008
Applied Math 40S February 25, 2008Applied Math 40S February 25, 2008
Applied Math 40S February 25, 2008
 
Chapter 5
Chapter 5Chapter 5
Chapter 5
 
Chapter 5
Chapter 5Chapter 5
Chapter 5
 
The Fundamental Counting Principle
The Fundamental Counting PrincipleThe Fundamental Counting Principle
The Fundamental Counting Principle
 

More from jbianco9910

Olivia’s math problem2
Olivia’s math problem2Olivia’s math problem2
Olivia’s math problem2
jbianco9910
 
Olivia's 100 day of school
Olivia's 100 day of  schoolOlivia's 100 day of  school
Olivia's 100 day of school
jbianco9910
 
Oliviamath problem
Oliviamath problemOliviamath problem
Oliviamath problem
jbianco9910
 
Olivia’s math problem
Olivia’s math problemOlivia’s math problem
Olivia’s math problem
jbianco9910
 
Special parralelogrmas day 1
Special parralelogrmas day 1Special parralelogrmas day 1
Special parralelogrmas day 1jbianco9910
 
Polygons day 2 2015
Polygons day 2 2015Polygons day 2 2015
Polygons day 2 2015jbianco9910
 
Parralelogram day 2
Parralelogram day 2 Parralelogram day 2
Parralelogram day 2 jbianco9910
 
Chapter 5 review drill
Chapter 5 review drillChapter 5 review drill
Chapter 5 review drilljbianco9910
 
Pytha drill into lines of concurrency day 2
Pytha drill into lines of concurrency day 2Pytha drill into lines of concurrency day 2
Pytha drill into lines of concurrency day 2jbianco9910
 
Pytha drill into lines of concurrency
Pytha drill into lines of concurrencyPytha drill into lines of concurrency
Pytha drill into lines of concurrencyjbianco9910
 
Triang inequality drill and review
Triang inequality drill and reviewTriang inequality drill and review
Triang inequality drill and reviewjbianco9910
 
5004 pyth tring inequ and more
5004 pyth tring inequ and more5004 pyth tring inequ and more
5004 pyth tring inequ and morejbianco9910
 
5002 more with perp and angle bisector and cea
5002 more with perp and angle bisector and cea5002 more with perp and angle bisector and cea
5002 more with perp and angle bisector and ceajbianco9910
 
Chapter 5 unit f 001
Chapter 5 unit f 001Chapter 5 unit f 001
Chapter 5 unit f 001jbianco9910
 
Overlapping triangle drill
Overlapping triangle drillOverlapping triangle drill
Overlapping triangle drilljbianco9910
 
Chapter4006more with proving traingle congruent
Chapter4006more with proving traingle congruentChapter4006more with proving traingle congruent
Chapter4006more with proving traingle congruentjbianco9910
 
Triangle congruence
Triangle congruenceTriangle congruence
Triangle congruencejbianco9910
 
Congruent figures
Congruent figuresCongruent figures
Congruent figuresjbianco9910
 
Chapter4001 and 4002 traingles
Chapter4001 and 4002 trainglesChapter4001 and 4002 traingles
Chapter4001 and 4002 trainglesjbianco9910
 

More from jbianco9910 (20)

Olivia’s math problem2
Olivia’s math problem2Olivia’s math problem2
Olivia’s math problem2
 
Olivia's 100 day of school
Olivia's 100 day of  schoolOlivia's 100 day of  school
Olivia's 100 day of school
 
Oliviamath problem
Oliviamath problemOliviamath problem
Oliviamath problem
 
Olivia’s math problem
Olivia’s math problemOlivia’s math problem
Olivia’s math problem
 
Special parralelogrmas day 1
Special parralelogrmas day 1Special parralelogrmas day 1
Special parralelogrmas day 1
 
Polygons day 2 2015
Polygons day 2 2015Polygons day 2 2015
Polygons day 2 2015
 
Parralelogram day 2
Parralelogram day 2 Parralelogram day 2
Parralelogram day 2
 
Chapter 5 review drill
Chapter 5 review drillChapter 5 review drill
Chapter 5 review drill
 
Pytha drill into lines of concurrency day 2
Pytha drill into lines of concurrency day 2Pytha drill into lines of concurrency day 2
Pytha drill into lines of concurrency day 2
 
Pytha drill into lines of concurrency
Pytha drill into lines of concurrencyPytha drill into lines of concurrency
Pytha drill into lines of concurrency
 
Triang inequality drill and review
Triang inequality drill and reviewTriang inequality drill and review
Triang inequality drill and review
 
5004 pyth tring inequ and more
5004 pyth tring inequ and more5004 pyth tring inequ and more
5004 pyth tring inequ and more
 
5002 more with perp and angle bisector and cea
5002 more with perp and angle bisector and cea5002 more with perp and angle bisector and cea
5002 more with perp and angle bisector and cea
 
Chapter 5 unit f 001
Chapter 5 unit f 001Chapter 5 unit f 001
Chapter 5 unit f 001
 
Review day 2
Review day 2Review day 2
Review day 2
 
Overlapping triangle drill
Overlapping triangle drillOverlapping triangle drill
Overlapping triangle drill
 
Chapter4006more with proving traingle congruent
Chapter4006more with proving traingle congruentChapter4006more with proving traingle congruent
Chapter4006more with proving traingle congruent
 
Triangle congruence
Triangle congruenceTriangle congruence
Triangle congruence
 
Congruent figures
Congruent figuresCongruent figures
Congruent figures
 
Chapter4001 and 4002 traingles
Chapter4001 and 4002 trainglesChapter4001 and 4002 traingles
Chapter4001 and 4002 traingles
 

F.12 simulations

  • 1. Drill 1/8/13 The MD license plate for a car consists of 3 letters followed by 3 numbers. If you can’t use I, O, or U for letters, how many different possible plates can be created?
  • 2. OBJECTIVE Perform probability simulations to model real-world situations involving uncertainty
  • 3. PROBABILITY SIMULATIONS Tool: something you can use to simulate your experiment Rule: What outcome is assigned to what
  • 5. EXAMPLE There are 6 cars to choose from. What tool would you use to simulate the probability of choosing each car? What rule would you use?
  • 6. EXAMPLE Suppose you are taking a True False quiz. What tool could be used to simulate the probability of each question? What rule would you use?
  • 7. Rules for Tools It is always safe to use a random number generator. Take the percent you are given and turn it into a fraction. The bottom number tells you how many section to have in your spinner or how many numbers to choose from. The top number tells you how many represent good outcomes.
  • 8. Directions For each following scenario design a simulation that can be used to determine the probability of the given outcome. Be sure to select a probability tool, decide on the rule, and describe the length and number of trials to determine the probability.
  • 9. Example At Hershey Park, accountants have found that 60% of the admissions are for children between the ages of 10 and 16. Design a simulation that could be used to determine the probability that 5 guests are between the ages of 10 and 16.
  • 10. Example There is a 50% chance that a baby that is born will be a girl. Design a simulation that could be used to determine the probability that a family with 4 kids has all boys.
  • 11. Example Suppose there is a 35% chance that a student will have a pet cat. Design a simulation that could be used to determine the probability that 3 randomly chosen students will have a pet cat.
  • 12. POD Martin is planning a trip to Spain. They say that the rain in Spain falls mainly on the plain. Suppose there is a 70% chance that it will be sunny on any given day in Spain. Design a simulation that could be used to determine the probability that it will be sunny for all 7 days of Martin’s vacation.
  • 13. POD Martin is planning a trip to Spain. They say that the rain in Spain falls mainly on the plain. Suppose there is a 70% chance that it will be sunny on any given day in Spain. Design a simulation that could be used to determine the probability that it will be sunny for all 7 days of Martin’s vacation.
  • 16. EXAMPLE There are 6 cars to choose from. What tool would you use to simulate the probability of choosing each car? What rule would you use?
  • 17. EXAMPLE Suppose you are taking a True False quiz. What tool could be used to simulate the probability of each question? What rule would you use?
  • 18. Rules for Tools It is always safe to use a random number generator. Take the percent you are given and turn it into a fraction. The bottom number tells you how many section to have in your spinner or how many numbers to choose from. The top number tells you how many represent good outcomes.
  • 19. Directions For each following scenario design a simulation that can be used to determine the probability of the given outcome. Be sure to select a probability tool, decide on the rule, and describe the length and number of trials to determine the probability.
  • 20. Example At Hershey Park, accountants have found that 60% of the admissions are for children between the ages of 10 and 16. Design a simulation that could be used to determine the probability that 5 guests are between the ages of 10 and 16.
  • 21.
  • 22. Example There is a 50% chance that a baby that is born will be a girl. Design a simulation that could be used to determine the probability that a family with 4 kids has all boys.
  • 23.
  • 24. Example Suppose there is a 35% chance that a student will have a pet cat. Design a simulation that could be used to determine the probability that 3 randomly chosen students will have a pet cat.