SlideShare a Scribd company logo
1 of 30
WHAT WILL HAPPEN IN 2012?
WHICH TEAM WILL WIN WORLD CUP
2010?
CHAPTER 7 :
PROBABILITY
Probability                                 II

Sample space : all the possible outcomes


               the number of ways achieving success
               the total number of possible outcomes
Event: the set of outcomes that fulfils a given
  condition
Probability of an event A =

  the number of ways achieving success
  the total number of possible outcomes

                        n( A)
     P ( A)
                        n( S )
The Probability of A
Complement Event
The complement of an event A
- is the set of all outcomes in the sample space that are
 not included in the outcomes of event A and is written
 as A’
                              n( A' )
       P ( A' )
                              n( S )

      P( A' )             1 P( A)
The Probability of the
Combined Event

Two types of combinations
i. Event A or event B
   - is the union of set A and set B
i. Event A and event B
   - the intersection of set A and set B
Finding the probability by
Listing the outcomes

A fair coin is tossed and a fair dice is rolled.
a. List all the possible outcomes.
     * You can draw a tree diagram.*
b. Find the probability of obtaining a ‘4’ and a
    ’head’
c. Find the probability of obtaining an even number
    and a tail
1
    2
    3
T   4
    5
    6


    1
H   2
    3
    4
    5
    6
 Sample space
  S=    T ,1 , (T ,2), (T ,3), (T ,4), (T ,5), (T ,6),
       ( H ,1), ( H ,2), ( H ,3), ( H ,4), ( H ,5), ( H ,6)

  n(S) = 12
  A is an event obtaining a ‘4’ and a ’head’
  A = (H,4)      n( A) = 1
     P(A) = n ( A) = 1
              n( S )     12
c. Find the probability of obtaining an even
   number and a tail.
   B is an even number and a tail.
                       3 1

   B= (T,2),(T,4),(T,6) 4
                      12



      P(B) = n ( B )
             n( S )

         = 3      1
            12    4
Three coins are tossed.
a.List all the sample space
b. Find the probability of getting 2 heads and a
   tail
Tree diagram
Finding the probability by
Listing the outcomes


 There are 3 balls in a bag: red, yellow and
 blue. One ball is picked out, and not replaced,
 and then another ball is picked out.
Finding the probability by
Listing
 if you throw two dice, what is the probability
  that you will get the sum of the two numbers
  is :
  a) 8,
  b) 9,
  c) either 8 or 9?
Sample Space of a combined
event
Probability II

Independent and Dependent
  Events
Suppose now we consider the probability of 2 events
  happening. For example, we might throw 2 dice and
  consider the probability that both are 6's.

We call two events independent if the outcome of one
 of the events doesn't affect the outcome of another.
 For example, if we throw two dice, the probability of
 getting a 6 on the second die is the same, no matter
 what we get with the first one- it's still 1/6.
Probability II

 On the other hand, suppose we have a bag
  containing 2 red and 2 blue balls. If we pick 2 balls
  out of the bag, the probability that the second is
  blue depends upon what the colour of the first ball
  picked was. If the first ball was blue, there will be 1
  blue and 2 red balls in the bag when we pick the
  second ball.
 So the probability of getting a blue is 1/3. However, if
  the first ball was red, there will be 1 red and 2 blue
  balls left so the probability the second ball is blue is
  2/3. When the probability of one event depends on
  another, the events are dependent
EXERCISE : SPM QUESTIONS
Probability5
Probability5
Probability5
Probability5
Probability5
Probability5
Probability5
Probability5
Probability5

More Related Content

What's hot

PROBABILITY
PROBABILITYPROBABILITY
PROBABILITYsmaplabu
 
Theory of Probability
Theory of Probability Theory of Probability
Theory of Probability ArchanaKadam19
 
Additional math 1999
Additional math   1999Additional math   1999
Additional math 1999MUSAKILAVE
 
Graph of rational function
Graph of rational functionGraph of rational function
Graph of rational functionJecel Ginga
 
Mathematics PROBABILITY !!!!!!!!
Mathematics PROBABILITY !!!!!!!!Mathematics PROBABILITY !!!!!!!!
Mathematics PROBABILITY !!!!!!!!Sumit9910
 
Section 10.2 ellipse written notes
Section 10.2 ellipse written notesSection 10.2 ellipse written notes
Section 10.2 ellipse written notesjanetvmiller
 
2.7 more parabolas a& hyperbolas (optional) t
2.7 more parabolas a& hyperbolas (optional) t2.7 more parabolas a& hyperbolas (optional) t
2.7 more parabolas a& hyperbolas (optional) tmath260
 
1 6 the coordinate plane part 1
1 6 the coordinate plane part 11 6 the coordinate plane part 1
1 6 the coordinate plane part 1jcirulli
 
Roots With Calc2
Roots With Calc2Roots With Calc2
Roots With Calc2bwlomas
 
Equation plane
Equation planeEquation plane
Equation planecmnell
 

What's hot (18)

PROBABILITY
PROBABILITYPROBABILITY
PROBABILITY
 
Theory of Probability
Theory of Probability Theory of Probability
Theory of Probability
 
Polinômios 3
Polinômios 3Polinômios 3
Polinômios 3
 
Fuvest 2018 - aberta
Fuvest 2018 - abertaFuvest 2018 - aberta
Fuvest 2018 - aberta
 
Afa 2017
Afa 2017Afa 2017
Afa 2017
 
Additional math 1999
Additional math   1999Additional math   1999
Additional math 1999
 
Fuvest 2019 - aberta
Fuvest 2019 - abertaFuvest 2019 - aberta
Fuvest 2019 - aberta
 
Mth 4108-1 a
Mth 4108-1 aMth 4108-1 a
Mth 4108-1 a
 
Graph of rational function
Graph of rational functionGraph of rational function
Graph of rational function
 
Probability part 2
Probability part 2Probability part 2
Probability part 2
 
Mathematics PROBABILITY !!!!!!!!
Mathematics PROBABILITY !!!!!!!!Mathematics PROBABILITY !!!!!!!!
Mathematics PROBABILITY !!!!!!!!
 
Section 10.2 ellipse written notes
Section 10.2 ellipse written notesSection 10.2 ellipse written notes
Section 10.2 ellipse written notes
 
Cônicas 1
Cônicas 1Cônicas 1
Cônicas 1
 
2.7 more parabolas a& hyperbolas (optional) t
2.7 more parabolas a& hyperbolas (optional) t2.7 more parabolas a& hyperbolas (optional) t
2.7 more parabolas a& hyperbolas (optional) t
 
Introduction to probability
Introduction to probabilityIntroduction to probability
Introduction to probability
 
1 6 the coordinate plane part 1
1 6 the coordinate plane part 11 6 the coordinate plane part 1
1 6 the coordinate plane part 1
 
Roots With Calc2
Roots With Calc2Roots With Calc2
Roots With Calc2
 
Equation plane
Equation planeEquation plane
Equation plane
 

Similar to Probability5

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
 
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 Modul
Probability ModulProbability Modul
Probability Modulguestcc333c
 
Introduction to probability
Introduction to probabilityIntroduction to probability
Introduction to probabilityindianeducation
 
GRADE 10 MATH Probability and Statistics
GRADE 10 MATH Probability and StatisticsGRADE 10 MATH Probability and Statistics
GRADE 10 MATH Probability and Statisticskenthromulo
 
Introduction of Probability
Introduction of ProbabilityIntroduction of Probability
Introduction of Probabilityrey castro
 
STAB52 Lecture Notes (Week 2)
STAB52 Lecture Notes (Week 2)STAB52 Lecture Notes (Week 2)
STAB52 Lecture Notes (Week 2)Danny Cao
 
Year 12 Maths A Textbook - Chapter 9
Year 12 Maths A Textbook - Chapter 9Year 12 Maths A Textbook - Chapter 9
Year 12 Maths A Textbook - Chapter 9westy67968
 
Rishabh sehrawat probability
Rishabh sehrawat probabilityRishabh sehrawat probability
Rishabh sehrawat probabilityRishabh Sehrawat
 
math probabilitymath probabilitymath probability
math probabilitymath probabilitymath probabilitymath probabilitymath probabilitymath probability
math probabilitymath probabilitymath probabilitybalanebench
 
probability-180324013552.pptx
probability-180324013552.pptxprobability-180324013552.pptx
probability-180324013552.pptxVukile Xhego
 
Probability (gr.11)
Probability (gr.11)Probability (gr.11)
Probability (gr.11)Vukile Xhego
 
Indefinite integration class 12
Indefinite integration class 12Indefinite integration class 12
Indefinite integration class 12nysa tutorial
 

Similar to Probability5 (20)

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
 
Nossi ch 10
Nossi ch 10Nossi ch 10
Nossi ch 10
 
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 Modul
Probability ModulProbability Modul
Probability Modul
 
probibility
probibilityprobibility
probibility
 
Introduction to probability
Introduction to probabilityIntroduction to probability
Introduction to probability
 
GRADE 10 MATH Probability and Statistics
GRADE 10 MATH Probability and StatisticsGRADE 10 MATH Probability and Statistics
GRADE 10 MATH Probability and Statistics
 
Ppt probability
Ppt probabilityPpt probability
Ppt probability
 
Introduction of Probability
Introduction of ProbabilityIntroduction of Probability
Introduction of Probability
 
STAB52 Lecture Notes (Week 2)
STAB52 Lecture Notes (Week 2)STAB52 Lecture Notes (Week 2)
STAB52 Lecture Notes (Week 2)
 
Hots algebra
Hots algebraHots algebra
Hots algebra
 
Probability
ProbabilityProbability
Probability
 
Year 12 Maths A Textbook - Chapter 9
Year 12 Maths A Textbook - Chapter 9Year 12 Maths A Textbook - Chapter 9
Year 12 Maths A Textbook - Chapter 9
 
Rishabh sehrawat probability
Rishabh sehrawat probabilityRishabh sehrawat probability
Rishabh sehrawat probability
 
Probability
ProbabilityProbability
Probability
 
math probabilitymath probabilitymath probability
math probabilitymath probabilitymath probabilitymath probabilitymath probabilitymath probability
math probabilitymath probabilitymath probability
 
probability-180324013552.pptx
probability-180324013552.pptxprobability-180324013552.pptx
probability-180324013552.pptx
 
603-probability mj.pptx
603-probability mj.pptx603-probability mj.pptx
603-probability mj.pptx
 
Probability (gr.11)
Probability (gr.11)Probability (gr.11)
Probability (gr.11)
 
Indefinite integration class 12
Indefinite integration class 12Indefinite integration class 12
Indefinite integration class 12
 

Recently uploaded

Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Disha Kariya
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
Disha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfDisha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfchloefrazer622
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajanpragatimahajan3
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...anjaliyadav012327
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 

Recently uploaded (20)

Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
 
Disha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfDisha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdf
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajan
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 

Probability5

  • 1. WHAT WILL HAPPEN IN 2012?
  • 2. WHICH TEAM WILL WIN WORLD CUP 2010?
  • 4. Probability II Sample space : all the possible outcomes the number of ways achieving success the total number of possible outcomes Event: the set of outcomes that fulfils a given condition
  • 5. Probability of an event A = the number of ways achieving success the total number of possible outcomes n( A) P ( A) n( S )
  • 6. The Probability of A Complement Event The complement of an event A - is the set of all outcomes in the sample space that are not included in the outcomes of event A and is written as A’ n( A' ) P ( A' ) n( S ) P( A' ) 1 P( A)
  • 7. The Probability of the Combined Event Two types of combinations i. Event A or event B - is the union of set A and set B i. Event A and event B - the intersection of set A and set B
  • 8. Finding the probability by Listing the outcomes A fair coin is tossed and a fair dice is rolled. a. List all the possible outcomes. * You can draw a tree diagram.* b. Find the probability of obtaining a ‘4’ and a ’head’ c. Find the probability of obtaining an even number and a tail
  • 9. 1 2 3 T 4 5 6 1 H 2 3 4 5 6
  • 10.  Sample space S= T ,1 , (T ,2), (T ,3), (T ,4), (T ,5), (T ,6), ( H ,1), ( H ,2), ( H ,3), ( H ,4), ( H ,5), ( H ,6) n(S) = 12 A is an event obtaining a ‘4’ and a ’head’ A = (H,4) n( A) = 1 P(A) = n ( A) = 1 n( S ) 12
  • 11. c. Find the probability of obtaining an even number and a tail. B is an even number and a tail. 3 1 B= (T,2),(T,4),(T,6) 4 12 P(B) = n ( B ) n( S ) = 3 1 12 4
  • 12. Three coins are tossed. a.List all the sample space b. Find the probability of getting 2 heads and a tail
  • 14. Finding the probability by Listing the outcomes There are 3 balls in a bag: red, yellow and blue. One ball is picked out, and not replaced, and then another ball is picked out.
  • 15.
  • 16. Finding the probability by Listing  if you throw two dice, what is the probability that you will get the sum of the two numbers is : a) 8, b) 9, c) either 8 or 9?
  • 17. Sample Space of a combined event
  • 18. Probability II Independent and Dependent Events Suppose now we consider the probability of 2 events happening. For example, we might throw 2 dice and consider the probability that both are 6's. We call two events independent if the outcome of one of the events doesn't affect the outcome of another. For example, if we throw two dice, the probability of getting a 6 on the second die is the same, no matter what we get with the first one- it's still 1/6.
  • 19. Probability II  On the other hand, suppose we have a bag containing 2 red and 2 blue balls. If we pick 2 balls out of the bag, the probability that the second is blue depends upon what the colour of the first ball picked was. If the first ball was blue, there will be 1 blue and 2 red balls in the bag when we pick the second ball.  So the probability of getting a blue is 1/3. However, if the first ball was red, there will be 1 red and 2 blue balls left so the probability the second ball is blue is 2/3. When the probability of one event depends on another, the events are dependent
  • 20.
  • 21. EXERCISE : SPM QUESTIONS