SlideShare a Scribd company logo
1 of 9
Made By:-
JAYANT NAMRANI
IX – A
Rainbow English
School
C-3, Janak Puri, New Delhi-110058
Example of any
Real Life Situation
to connect it with
any topic of
Mathematics.
Probability is an area of mathematics which we use all the time in daily life – and
usually without thinking about it. While many aspects are very intuitive, probability
becomes much more difficult when thinking about it in a precise, mathematical
way. The easiest definition is that probabilities are numbers between 0 and 1 which
specify the chance that something happens. A probability of 0 means that something
is impossible; a probability of 1 means that something is certain.
It is certain that the Earth will still exist tomorrow and impossible that
you will meet a basilisk. A coin landing heads or a die rolling 6 have
probabilities in between 0 and 1. However, when tossing a coin, it
will either land heads or it will land tails. So why isn’t the
probability either 1 or 0 – rather than a number in-between? Or suppose we
toss a coin but don’t look at it. For us, the probability of landing heads is still
0.5, even though it has already happened!
These questions can be answered by thinking about the various
different ways in which we can interpret probabilities.
Tossing Coins and Rolling Dice
Even if we ignore quantum mechanics, coins never
have exactly the probability 0.5 of landing heads. Maybe it is 0.4856,
maybe it is 0.500012, depending on their physical properties.
In mathematics we don’t have to worry about the
underlying physics or tiny inaccuracies. We simplify the real world
and build a mathematical model: an imaginary “mathematical coin”,
for example, has exactly the probability 0.5 of landing heads and is
truly random. This allows us to answer much more interesting
questions – such as the probability of three coins landing the same
way up.
EXAMPLE
• There are 5 marbles in a bag: 4 are blue, and
1 is red.
What is the probability that a blue marble will be
picked?
Solution:-
Number of ways it can happen: 4 (there are 4 blues)
Total number of OUTCOMES: 5 (there are 5 marbles in
the bag)
So, the Probability = 4/5 = 0.8
Probability always exists between 0 And 1.
Let’s Take Another Example
Q. Toss a coin 100 times, how many Heads will come up?
Sol.
Probability says that heads have a ½ chance, so we would expect 50
Heads.
But when you actually try it out you might get 48 heads, or 55 heads
... or anything really, but in most cases it will be a number near 50.
 Thank You !

…Hope you have Liked the effort made by me to bring
out this Presentation…

More Related Content

What's hot

Probability Powerpoint
Probability PowerpointProbability Powerpoint
Probability Powerpointspike2904
 
4.1-4.2 Sample Spaces and Probability
4.1-4.2 Sample Spaces and Probability4.1-4.2 Sample Spaces and Probability
4.1-4.2 Sample Spaces and Probabilitymlong24
 
Negative binomial distribution
Negative binomial distributionNegative binomial distribution
Negative binomial distributionNadeem Uddin
 
Discrete Probability Distributions
Discrete Probability DistributionsDiscrete Probability Distributions
Discrete Probability Distributionsmandalina landy
 
Probability Overview
Probability OverviewProbability Overview
Probability Overviewmmeddin
 
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
 
Basic Probability
Basic Probability Basic Probability
Basic Probability kaurab
 
Chapter 4 part3- Means and Variances of Random Variables
Chapter 4 part3- Means and Variances of Random VariablesChapter 4 part3- Means and Variances of Random Variables
Chapter 4 part3- Means and Variances of Random Variablesnszakir
 
Probability basics and bayes' theorem
Probability basics and bayes' theoremProbability basics and bayes' theorem
Probability basics and bayes' theoremBalaji P
 
Discrete probability distribution (complete)
Discrete probability distribution (complete)Discrete probability distribution (complete)
Discrete probability distribution (complete)ISYousafzai
 

What's hot (20)

Probability
ProbabilityProbability
Probability
 
Probability Powerpoint
Probability PowerpointProbability Powerpoint
Probability Powerpoint
 
Maths probability
Maths probabilityMaths probability
Maths probability
 
4.1-4.2 Sample Spaces and Probability
4.1-4.2 Sample Spaces and Probability4.1-4.2 Sample Spaces and Probability
4.1-4.2 Sample Spaces and Probability
 
Negative binomial distribution
Negative binomial distributionNegative binomial distribution
Negative binomial distribution
 
Probability
ProbabilityProbability
Probability
 
Discrete Probability Distributions
Discrete Probability DistributionsDiscrete Probability Distributions
Discrete Probability Distributions
 
Probability
ProbabilityProbability
Probability
 
Probability Overview
Probability OverviewProbability Overview
Probability Overview
 
Intro to probability
Intro to probabilityIntro to probability
Intro to 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 Raza
 
Basic Probability
Basic Probability Basic Probability
Basic Probability
 
Probability
ProbabilityProbability
Probability
 
Conditional Probability
Conditional ProbabilityConditional Probability
Conditional Probability
 
Chapter 4 part3- Means and Variances of Random Variables
Chapter 4 part3- Means and Variances of Random VariablesChapter 4 part3- Means and Variances of Random Variables
Chapter 4 part3- Means and Variances of Random Variables
 
probability
probabilityprobability
probability
 
Probability basics and bayes' theorem
Probability basics and bayes' theoremProbability basics and bayes' theorem
Probability basics and bayes' theorem
 
Random variables
Random variablesRandom variables
Random variables
 
STATISTIC ESTIMATION
STATISTIC ESTIMATIONSTATISTIC ESTIMATION
STATISTIC ESTIMATION
 
Discrete probability distribution (complete)
Discrete probability distribution (complete)Discrete probability distribution (complete)
Discrete probability distribution (complete)
 

Similar to Real life situation's example on PROBABILITY

An abnormally short talk on large deviations
An abnormally short talk on large deviationsAn abnormally short talk on large deviations
An abnormally short talk on large deviationsHoracio González Duhart
 
Probability and Genetic cosideration.pptx
Probability and Genetic cosideration.pptxProbability and Genetic cosideration.pptx
Probability and Genetic cosideration.pptxSuhaybAbdi3
 
Pure ch20
Pure ch20Pure ch20
Pure ch20arbi
 
The Ludic Fallacy Applied to Automated Planning
The Ludic Fallacy Applied to Automated PlanningThe Ludic Fallacy Applied to Automated Planning
The Ludic Fallacy Applied to Automated PlanningLuke Dicken
 
Ariyana probability final
Ariyana probability final Ariyana probability final
Ariyana probability final ecooperms
 
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
 
Unit 11.2 theoretical probability
Unit 11.2 theoretical probabilityUnit 11.2 theoretical probability
Unit 11.2 theoretical probabilityMark Ryder
 
Probability - The Basics Workshop 1
Probability - The Basics Workshop 1Probability - The Basics Workshop 1
Probability - The Basics Workshop 1Angela Lee
 
9.1 Simple Events
9.1 Simple Events9.1 Simple Events
9.1 Simple Eventsrlowery
 
The probability life saver...
The probability life saver...The probability life saver...
The probability life saver...YogitaKolekar1
 
Lecture: Experimental and Theoretical Probability
Lecture: Experimental and Theoretical ProbabilityLecture: Experimental and Theoretical Probability
Lecture: Experimental and Theoretical ProbabilityMegan Tanielu
 
Pecha kucha: ratios, proportions, and probability
Pecha kucha: ratios, proportions, and probabilityPecha kucha: ratios, proportions, and probability
Pecha kucha: ratios, proportions, and probabilityBrent Edward
 
Notes-unit 6 Lesson 1
Notes-unit 6 Lesson 1Notes-unit 6 Lesson 1
Notes-unit 6 Lesson 1lterrell302
 

Similar to Real life situation's example on PROBABILITY (20)

Downgrade
DowngradeDowngrade
Downgrade
 
An abnormally short talk on large deviations
An abnormally short talk on large deviationsAn abnormally short talk on large deviations
An abnormally short talk on large deviations
 
Probability and Genetic cosideration.pptx
Probability and Genetic cosideration.pptxProbability and Genetic cosideration.pptx
Probability and Genetic cosideration.pptx
 
Statistics SBA
Statistics SBAStatistics SBA
Statistics SBA
 
Pure ch20
Pure ch20Pure ch20
Pure ch20
 
The Ludic Fallacy Applied to Automated Planning
The Ludic Fallacy Applied to Automated PlanningThe Ludic Fallacy Applied to Automated Planning
The Ludic Fallacy Applied to Automated Planning
 
Ariyana probability final
Ariyana probability final Ariyana probability final
Ariyana probability final
 
chap2p.pdf
chap2p.pdfchap2p.pdf
chap2p.pdf
 
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
Intro to probabilityIntro to probability
Intro to probability
 
LAILA BALINADO COT 2.pptx
LAILA BALINADO COT 2.pptxLAILA BALINADO COT 2.pptx
LAILA BALINADO COT 2.pptx
 
Unit 11.2 theoretical probability
Unit 11.2 theoretical probabilityUnit 11.2 theoretical probability
Unit 11.2 theoretical probability
 
Probability - The Basics Workshop 1
Probability - The Basics Workshop 1Probability - The Basics Workshop 1
Probability - The Basics Workshop 1
 
PROBABILITY.pptx
PROBABILITY.pptxPROBABILITY.pptx
PROBABILITY.pptx
 
DEFINE PROBABILITY.pptx
DEFINE PROBABILITY.pptxDEFINE PROBABILITY.pptx
DEFINE PROBABILITY.pptx
 
9.1 Simple Events
9.1 Simple Events9.1 Simple Events
9.1 Simple Events
 
The probability life saver...
The probability life saver...The probability life saver...
The probability life saver...
 
Lecture: Experimental and Theoretical Probability
Lecture: Experimental and Theoretical ProbabilityLecture: Experimental and Theoretical Probability
Lecture: Experimental and Theoretical Probability
 
Pecha kucha: ratios, proportions, and probability
Pecha kucha: ratios, proportions, and probabilityPecha kucha: ratios, proportions, and probability
Pecha kucha: ratios, proportions, and probability
 
Notes-unit 6 Lesson 1
Notes-unit 6 Lesson 1Notes-unit 6 Lesson 1
Notes-unit 6 Lesson 1
 

Recently uploaded

Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - Englishneillewis46
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsMebane Rash
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...ZurliaSoop
 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the ClassroomPooky Knightsmith
 
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfDr Vijay Vishwakarma
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...Nguyen Thanh Tu Collection
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jisc
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibitjbellavia9
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfSherif Taha
 
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxHMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxmarlenawright1
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...pradhanghanshyam7136
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...Nguyen Thanh Tu Collection
 
Single or Multiple melodic lines structure
Single or Multiple melodic lines structureSingle or Multiple melodic lines structure
Single or Multiple melodic lines structuredhanjurrannsibayan2
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxDenish Jangid
 
Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsKarakKing
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfNirmal Dwivedi
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxheathfieldcps1
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxEsquimalt MFRC
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxAreebaZafar22
 

Recently uploaded (20)

Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the Classroom
 
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxHMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
 
Spatium Project Simulation student brief
Spatium Project Simulation student briefSpatium Project Simulation student brief
Spatium Project Simulation student brief
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
 
Single or Multiple melodic lines structure
Single or Multiple melodic lines structureSingle or Multiple melodic lines structure
Single or Multiple melodic lines structure
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functions
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 

Real life situation's example on PROBABILITY

  • 1. Made By:- JAYANT NAMRANI IX – A Rainbow English School C-3, Janak Puri, New Delhi-110058 Example of any Real Life Situation to connect it with any topic of Mathematics.
  • 2.
  • 3. Probability is an area of mathematics which we use all the time in daily life – and usually without thinking about it. While many aspects are very intuitive, probability becomes much more difficult when thinking about it in a precise, mathematical way. The easiest definition is that probabilities are numbers between 0 and 1 which specify the chance that something happens. A probability of 0 means that something is impossible; a probability of 1 means that something is certain.
  • 4. It is certain that the Earth will still exist tomorrow and impossible that you will meet a basilisk. A coin landing heads or a die rolling 6 have probabilities in between 0 and 1. However, when tossing a coin, it will either land heads or it will land tails. So why isn’t the probability either 1 or 0 – rather than a number in-between? Or suppose we toss a coin but don’t look at it. For us, the probability of landing heads is still 0.5, even though it has already happened! These questions can be answered by thinking about the various different ways in which we can interpret probabilities.
  • 5. Tossing Coins and Rolling Dice Even if we ignore quantum mechanics, coins never have exactly the probability 0.5 of landing heads. Maybe it is 0.4856, maybe it is 0.500012, depending on their physical properties. In mathematics we don’t have to worry about the underlying physics or tiny inaccuracies. We simplify the real world and build a mathematical model: an imaginary “mathematical coin”, for example, has exactly the probability 0.5 of landing heads and is truly random. This allows us to answer much more interesting questions – such as the probability of three coins landing the same way up.
  • 6. EXAMPLE • There are 5 marbles in a bag: 4 are blue, and 1 is red. What is the probability that a blue marble will be picked? Solution:- Number of ways it can happen: 4 (there are 4 blues) Total number of OUTCOMES: 5 (there are 5 marbles in the bag) So, the Probability = 4/5 = 0.8
  • 7. Probability always exists between 0 And 1.
  • 8. Let’s Take Another Example Q. Toss a coin 100 times, how many Heads will come up? Sol. Probability says that heads have a ½ chance, so we would expect 50 Heads. But when you actually try it out you might get 48 heads, or 55 heads ... or anything really, but in most cases it will be a number near 50.
  • 9.  Thank You !  …Hope you have Liked the effort made by me to bring out this Presentation…