SlideShare a Scribd company logo
1 of 18
 Subnitted To:
Ms.Zoya Abdullah
Submitted By:
Haris Rafiq 034
Nabeel Sarwuar 044
M.Usama 040
M.Mudassar 078
M.Bilal 096
Table of contents
 Probability
 Combination
 Permutation
 Decision between combination and permutation
 Decision making theory
 (i)Uncertainty
 (ii)Optimist
 (iii)Pessmist
 (iv)Manager
 (v)Decision making under pure uncertainty
 (vi)Decision making under risk
 (vii)Determinstic approach
Probability
 Probability is the liklihood that an event will occure
and is caculated by dividing the number of favourable
outcomes by the total numbers of possible outcomes
Example:
There is 50% chance that the outcomes will be heads
and 50% chance the outcome will be tails.
Combination
A collection of things ,in which order does not matter.
Example:
For fruit salad,how many different combination of two
ingredients canyou make with apple,banana and
cheery?
{apple,banana},{apple,cherry},{banana,cherry}
Permutation
 All possible arrangements of a collection of
things,where the order is importanat.
 Example:
You want to visit the home of your friends A,B,C by
order wise not in a randomly.
Difference between permutation
and combination
n
Permutation are in list Combination are in groups
They are in order They are not in order
Its formula is
nPr=
Its formula is
nCr=
The term permutation refers to
several ways of arranging a set of
subjects in a sequential order
It implies several ways of choosing
items from pool of objects,such that
there order is irrelevant.
)!(
!
rn
n

)!()!(
!
rnr
n

Decision making theory
 Decision theory can be broken into two branches:
 (1)Normative decision making theory
 (2) Descriptive decision making theory
(1)Normative decision making theory
 It gives advice on how to make the decision,given a set
of values and beliefs.
(2) Descriptive decision making theory
 Its analyzes how existing possibility irrational agents
actually make decision
Uncertainty
 Uncertainty is a situation which involves imperfect or
unknown information. It applies to predictions of
future events, to physical measurements .
Optimist
 Someone who always believes that good things will
happen:
 Someone who feels that good things are more likely to
happen than bad.
Permist
 A person who thinks that bad things are more likely to
happen or who emphasizes the bad part of a situation.
Manager
 The person who is responsible for managing an
organization.
 The person whose job is to organize and sometimes
train a sports team .
Decision making under pure
uncertainty
• Decision Making Under Uncertainty In decision
making under pure uncertainty, the decision-maker
has no knowledge regarding any of the states of nature
.
Decision making under risk
uncertainty
 Risk
 Must make a decision for which the outcome is not
known with certainty
 Can list all possible outcomes & assign probabilities
to the outcomes
 Uncertainty
 Cannot list all possible outcomes
 Cannot assign probabilities to the outcomes
Determinstic approach
 Deterministic approaches are used to assess disaster
impacts of a given hazard scenario, whereas
probabilistic methods are used to obtain more refined
estimates of hazard frequencies and damages.
Business Math 2
Business Math 2

More Related Content

Similar to Business Math 2

Risk taking to get ahead
Risk taking to get aheadRisk taking to get ahead
Risk taking to get ahead
Chelse Benham
 
THE UNITED STATES NAVAL WAR COLLEGE U.S. Navy.docx
THE UNITED STATES NAVAL WAR COLLEGE  U.S. Navy.docxTHE UNITED STATES NAVAL WAR COLLEGE  U.S. Navy.docx
THE UNITED STATES NAVAL WAR COLLEGE U.S. Navy.docx
arnoldmeredith47041
 
Tai's Forensic Psychology Notes
Tai's Forensic Psychology Notes Tai's Forensic Psychology Notes
Tai's Forensic Psychology Notes
Psychology2010
 
Change language English Deutsch Español Nederlands Y
Change language English  Deutsch  Español  Nederlands   YChange language English  Deutsch  Español  Nederlands   Y
Change language English Deutsch Español Nederlands Y
MaximaSheffield592
 
Scenario Planning- Psychological Perspective
Scenario Planning- Psychological PerspectiveScenario Planning- Psychological Perspective
Scenario Planning- Psychological Perspective
azizali
 
Table of contents for the elements of leadership
Table of contents for the elements of leadershipTable of contents for the elements of leadership
Table of contents for the elements of leadership
Nannou Nawwara
 

Similar to Business Math 2 (20)

6 Keys to Preventing and Responding to Workplace Violence
6 Keys to Preventing and Responding to Workplace Violence6 Keys to Preventing and Responding to Workplace Violence
6 Keys to Preventing and Responding to Workplace Violence
 
Scenarioplanningpsychologicalperspective 140128032626-phpapp01
Scenarioplanningpsychologicalperspective 140128032626-phpapp01Scenarioplanningpsychologicalperspective 140128032626-phpapp01
Scenarioplanningpsychologicalperspective 140128032626-phpapp01
 
Behavioral Biases
Behavioral BiasesBehavioral Biases
Behavioral Biases
 
Evidence-Based Decision Making for Hospital Administrators
Evidence-Based Decision Making for Hospital AdministratorsEvidence-Based Decision Making for Hospital Administrators
Evidence-Based Decision Making for Hospital Administrators
 
Decision Making in the Workplace.pdf
Decision Making in the Workplace.pdfDecision Making in the Workplace.pdf
Decision Making in the Workplace.pdf
 
Beyond Bias
Beyond BiasBeyond Bias
Beyond Bias
 
POSITIVE AND NEGATIVE DECISION MAKING - Copy.pptx
POSITIVE AND NEGATIVE DECISION MAKING - Copy.pptxPOSITIVE AND NEGATIVE DECISION MAKING - Copy.pptx
POSITIVE AND NEGATIVE DECISION MAKING - Copy.pptx
 
Ch5
Ch5Ch5
Ch5
 
HR-2
HR-2HR-2
HR-2
 
Risk Taking To Get Ahead
Risk Taking To Get AheadRisk Taking To Get Ahead
Risk Taking To Get Ahead
 
Risk taking to get ahead
Risk taking to get aheadRisk taking to get ahead
Risk taking to get ahead
 
Introduction to unconscious bias
Introduction to unconscious biasIntroduction to unconscious bias
Introduction to unconscious bias
 
THE UNITED STATES NAVAL WAR COLLEGE U.S. Navy.docx
THE UNITED STATES NAVAL WAR COLLEGE  U.S. Navy.docxTHE UNITED STATES NAVAL WAR COLLEGE  U.S. Navy.docx
THE UNITED STATES NAVAL WAR COLLEGE U.S. Navy.docx
 
Tai's Forensic Psychology Notes
Tai's Forensic Psychology Notes Tai's Forensic Psychology Notes
Tai's Forensic Psychology Notes
 
Change language English Deutsch Español Nederlands Y
Change language English  Deutsch  Español  Nederlands   YChange language English  Deutsch  Español  Nederlands   Y
Change language English Deutsch Español Nederlands Y
 
Scenario Planning- Psychological Perspective
Scenario Planning- Psychological PerspectiveScenario Planning- Psychological Perspective
Scenario Planning- Psychological Perspective
 
Ob12 05st
Ob12 05stOb12 05st
Ob12 05st
 
Managing Decision Under Uncertainties
Managing Decision Under UncertaintiesManaging Decision Under Uncertainties
Managing Decision Under Uncertainties
 
Table of contents for the elements of leadership
Table of contents for the elements of leadershipTable of contents for the elements of leadership
Table of contents for the elements of leadership
 
Busting the myths of decision making
Busting the myths of decision makingBusting the myths of decision making
Busting the myths of decision making
 

Recently uploaded

Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
kauryashika82
 
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
heathfieldcps1
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
QucHHunhnh
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
PECB
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
heathfieldcps1
 

Recently uploaded (20)

PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docx
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
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
 
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
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
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
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
Energy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural Resources
Energy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural ResourcesEnergy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural Resources
Energy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural Resources
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 

Business Math 2

  • 1.
  • 2.  Subnitted To: Ms.Zoya Abdullah Submitted By: Haris Rafiq 034 Nabeel Sarwuar 044 M.Usama 040 M.Mudassar 078 M.Bilal 096
  • 3. Table of contents  Probability  Combination  Permutation  Decision between combination and permutation  Decision making theory  (i)Uncertainty  (ii)Optimist  (iii)Pessmist  (iv)Manager
  • 4.  (v)Decision making under pure uncertainty  (vi)Decision making under risk  (vii)Determinstic approach
  • 5. Probability  Probability is the liklihood that an event will occure and is caculated by dividing the number of favourable outcomes by the total numbers of possible outcomes Example: There is 50% chance that the outcomes will be heads and 50% chance the outcome will be tails.
  • 6. Combination A collection of things ,in which order does not matter. Example: For fruit salad,how many different combination of two ingredients canyou make with apple,banana and cheery? {apple,banana},{apple,cherry},{banana,cherry}
  • 7. Permutation  All possible arrangements of a collection of things,where the order is importanat.  Example: You want to visit the home of your friends A,B,C by order wise not in a randomly.
  • 8. Difference between permutation and combination n Permutation are in list Combination are in groups They are in order They are not in order Its formula is nPr= Its formula is nCr= The term permutation refers to several ways of arranging a set of subjects in a sequential order It implies several ways of choosing items from pool of objects,such that there order is irrelevant. )!( ! rn n  )!()!( ! rnr n 
  • 9. Decision making theory  Decision theory can be broken into two branches:  (1)Normative decision making theory  (2) Descriptive decision making theory
  • 10. (1)Normative decision making theory  It gives advice on how to make the decision,given a set of values and beliefs. (2) Descriptive decision making theory  Its analyzes how existing possibility irrational agents actually make decision
  • 11. Uncertainty  Uncertainty is a situation which involves imperfect or unknown information. It applies to predictions of future events, to physical measurements .
  • 12. Optimist  Someone who always believes that good things will happen:  Someone who feels that good things are more likely to happen than bad. Permist  A person who thinks that bad things are more likely to happen or who emphasizes the bad part of a situation.
  • 13. Manager  The person who is responsible for managing an organization.  The person whose job is to organize and sometimes train a sports team .
  • 14. Decision making under pure uncertainty • Decision Making Under Uncertainty In decision making under pure uncertainty, the decision-maker has no knowledge regarding any of the states of nature .
  • 15. Decision making under risk uncertainty  Risk  Must make a decision for which the outcome is not known with certainty  Can list all possible outcomes & assign probabilities to the outcomes  Uncertainty  Cannot list all possible outcomes  Cannot assign probabilities to the outcomes
  • 16. Determinstic approach  Deterministic approaches are used to assess disaster impacts of a given hazard scenario, whereas probabilistic methods are used to obtain more refined estimates of hazard frequencies and damages.