SlideShare a Scribd company logo
1 of 5
www.sanjivanimba.org.in
Unit No.5.
PROBABILITY
Presented By:
Dr. V. M. Tidake
Ph. D (Financial Management), MBA(FM), MBA(HRM) BE(Chem)
Dean, EDP & Associate Professor MBA
1
Sanjivani College of Engineering, Kopargaon
Department of MBA
www.sanjivanimba.org.in
www.sanjivanimba.org.in
302-DECISION SCIENCE
Unit No.5. Probability
5.2 Terminologies in
Probability
Presented By:
Dr. V. M. Tidake
Ph. D (Financial Management), MBA(FM), MBA(HRM) BE(Chem)
Dean EDP & Associate Professor MBA
2
Sanjivani College of Engineering, Kopargaon
Department of MBA
www.sanjivanimba.org.in
www.sanjivanimba.org.in
NETWORK ANALYSIS
 At the End of the Session Student will be able to
understand-
A. Terminologies in Probability
www.sanjivanimba.org.in
EXERCISE
 List down and explain various terminologies in
Probability.
www.sanjivanimba.org.in
For More Details Contact
Dr. V M Tidake
tidkevishal@gmail.com
tidkevishalmba@sanjivani.org.in

More Related Content

What's hot

What's hot (20)

4.6 fulkersons rule explanatory case
4.6 fulkersons rule explanatory case4.6 fulkersons rule explanatory case
4.6 fulkersons rule explanatory case
 
5.10 case 7 probability
5.10 case 7 probability5.10 case 7 probability
5.10 case 7 probability
 
5.3 theorems on probability
5.3 theorems on probability5.3 theorems on probability
5.3 theorems on probability
 
4.7 explanatory case on network analysis
4.7 explanatory case on network analysis4.7 explanatory case on network analysis
4.7 explanatory case on network analysis
 
5.9 case 6 probability
5.9 case 6 probability5.9 case 6 probability
5.9 case 6 probability
 
5.2.9 case 1 probability distribution
5.2.9 case 1 probability distribution5.2.9 case 1 probability distribution
5.2.9 case 1 probability distribution
 
4.1 introduction to network analysis
4.1 introduction to network analysis4.1 introduction to network analysis
4.1 introduction to network analysis
 
4.12 pert introduction
4.12 pert introduction4.12 pert introduction
4.12 pert introduction
 
4.3 difference between pert and cpm
4.3 difference between pert and cpm4.3 difference between pert and cpm
4.3 difference between pert and cpm
 
4.5 rules for network construction
4.5 rules for network construction4.5 rules for network construction
4.5 rules for network construction
 
4.4 components of network analysis
4.4 components of network analysis4.4 components of network analysis
4.4 components of network analysis
 
4.14 case 1 pert
4.14 case 1 pert4.14 case 1 pert
4.14 case 1 pert
 
4.8 case 1 on network analysis
4.8 case 1 on network analysis4.8 case 1 on network analysis
4.8 case 1 on network analysis
 
3.3 various decision models in decision theory
3.3 various decision models in decision theory3.3 various decision models in decision theory
3.3 various decision models in decision theory
 
4.2 steps in network analysis
4.2 steps in network analysis4.2 steps in network analysis
4.2 steps in network analysis
 
3.4 decision making under risk
3.4 decision making under risk3.4 decision making under risk
3.4 decision making under risk
 
4.11 case 1 determination of float & slack in cpm network calculations
4.11 case 1 determination of float & slack in cpm network calculations4.11 case 1 determination of float & slack in cpm network calculations
4.11 case 1 determination of float & slack in cpm network calculations
 
5.5 case 2 probability
5.5 case 2 probability5.5 case 2 probability
5.5 case 2 probability
 
3.5 decion making under uncertainity
3.5 decion making under uncertainity3.5 decion making under uncertainity
3.5 decion making under uncertainity
 
3.1.8 comenting markov chain
3.1.8 comenting markov chain3.1.8 comenting markov chain
3.1.8 comenting markov chain
 

Similar to 5.2 terminologies in probability

Similar to 5.2 terminologies in probability (15)

3.7 case 2 decision theory
3.7 case 2 decision theory3.7 case 2 decision theory
3.7 case 2 decision theory
 
3.1 introduction decision theory
3.1 introduction decision theory3.1 introduction decision theory
3.1 introduction decision theory
 
2.6 initial feasible solution by vam
2.6 initial feasible solution by vam2.6 initial feasible solution by vam
2.6 initial feasible solution by vam
 
2.5 initial feasible solution by lcm
2.5 initial feasible solution by lcm2.5 initial feasible solution by lcm
2.5 initial feasible solution by lcm
 
2.4 initial feasible solution by nwcm
2.4 initial feasible solution by nwcm2.4 initial feasible solution by nwcm
2.4 initial feasible solution by nwcm
 
3.1.7 case 2 markov chain
3.1.7 case 2 markov chain3.1.7 case 2 markov chain
3.1.7 case 2 markov chain
 
2.7 case 1 initial feasible solution by nwcm, clm, vam
2.7 case 1 initial feasible solution by nwcm, clm, vam2.7 case 1 initial feasible solution by nwcm, clm, vam
2.7 case 1 initial feasible solution by nwcm, clm, vam
 
2.8 theory optimal solution by modi method
2.8 theory optimal solution by modi method2.8 theory optimal solution by modi method
2.8 theory optimal solution by modi method
 
2.9 optimal solution by modi method
2.9 optimal solution by modi method2.9 optimal solution by modi method
2.9 optimal solution by modi method
 
2.11 case 1 optimal solution by modi method
2.11 case 1 optimal solution by modi method2.11 case 1 optimal solution by modi method
2.11 case 1 optimal solution by modi method
 
2.18 case 1 hungarian method in assignment
2.18 case 1 hungarian method in assignment2.18 case 1 hungarian method in assignment
2.18 case 1 hungarian method in assignment
 
2.15 introduction to assignment
2.15 introduction to assignment2.15 introduction to assignment
2.15 introduction to assignment
 
2.14 case 4 case of maximization
2.14 case 4 case of maximization2.14 case 4 case of maximization
2.14 case 4 case of maximization
 
2.13 case 3 case of degeneracy
2.13 case 3 case of degeneracy2.13 case 3 case of degeneracy
2.13 case 3 case of degeneracy
 
2.12 case 2 optimal solution by modi method
2.12 case 2 optimal solution by modi method2.12 case 2 optimal solution by modi method
2.12 case 2 optimal solution by modi method
 

More from Vishal Tidake

4.13 explanatory case on program evaluation and review technique under networ...
4.13 explanatory case on program evaluation and review technique under networ...4.13 explanatory case on program evaluation and review technique under networ...
4.13 explanatory case on program evaluation and review technique under networ...
Vishal Tidake
 

More from Vishal Tidake (16)

Working Capital Management.pptx
Working Capital Management.pptxWorking Capital Management.pptx
Working Capital Management.pptx
 
Cash Flow Statement.pptx
Cash Flow Statement.pptxCash Flow Statement.pptx
Cash Flow Statement.pptx
 
2.9 Fund Flow Statement.pptx
2.9 Fund Flow Statement.pptx2.9 Fund Flow Statement.pptx
2.9 Fund Flow Statement.pptx
 
Ratio Analysis.pptx
Ratio Analysis.pptxRatio Analysis.pptx
Ratio Analysis.pptx
 
Chapter 1- Environment of Business Finance.pptx
Chapter 1- Environment of Business Finance.pptxChapter 1- Environment of Business Finance.pptx
Chapter 1- Environment of Business Finance.pptx
 
1.6 key strategies of financial management
1.6 key strategies of financial management1.6 key strategies of financial management
1.6 key strategies of financial management
 
1.5 a's of financial management
1.5 a's of financial management1.5 a's of financial management
1.5 a's of financial management
 
1.4 functions of financial management
1.4 functions of financial management1.4 functions of financial management
1.4 functions of financial management
 
1.3 approaches to finance
1.3 approaches to finance1.3 approaches to finance
1.3 approaches to finance
 
1.2 introduction to financial management
1.2 introduction to financial management1.2 introduction to financial management
1.2 introduction to financial management
 
1.1 introduction to finance
1.1 introduction to finance1.1 introduction to finance
1.1 introduction to finance
 
Accounting standards notes Dr. V M Tidake
Accounting standards notes Dr. V M TidakeAccounting standards notes Dr. V M Tidake
Accounting standards notes Dr. V M Tidake
 
5.2.8 case 2 normal probability distribution
5.2.8 case 2 normal probability distribution5.2.8 case 2 normal probability distribution
5.2.8 case 2 normal probability distribution
 
5.2.7 case 1 normal probability distribution
5.2.7 case 1 normal probability distribution5.2.7 case 1 normal probability distribution
5.2.7 case 1 normal probability distribution
 
4.15 case 1 on network analysis
4.15 case 1 on network analysis4.15 case 1 on network analysis
4.15 case 1 on network analysis
 
4.13 explanatory case on program evaluation and review technique under networ...
4.13 explanatory case on program evaluation and review technique under networ...4.13 explanatory case on program evaluation and review technique under networ...
4.13 explanatory case on program evaluation and review technique under networ...
 

Recently uploaded

如何办理(Dalhousie毕业证书)达尔豪斯大学毕业证成绩单留信学历认证
如何办理(Dalhousie毕业证书)达尔豪斯大学毕业证成绩单留信学历认证如何办理(Dalhousie毕业证书)达尔豪斯大学毕业证成绩单留信学历认证
如何办理(Dalhousie毕业证书)达尔豪斯大学毕业证成绩单留信学历认证
zifhagzkk
 
原件一样伦敦国王学院毕业证成绩单留信学历认证
原件一样伦敦国王学院毕业证成绩单留信学历认证原件一样伦敦国王学院毕业证成绩单留信学历认证
原件一样伦敦国王学院毕业证成绩单留信学历认证
pwgnohujw
 
Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...
Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...
Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...
Valters Lauzums
 
如何办理(UPenn毕业证书)宾夕法尼亚大学毕业证成绩单本科硕士学位证留信学历认证
如何办理(UPenn毕业证书)宾夕法尼亚大学毕业证成绩单本科硕士学位证留信学历认证如何办理(UPenn毕业证书)宾夕法尼亚大学毕业证成绩单本科硕士学位证留信学历认证
如何办理(UPenn毕业证书)宾夕法尼亚大学毕业证成绩单本科硕士学位证留信学历认证
acoha1
 
Audience Researchndfhcvnfgvgbhujhgfv.pptx
Audience Researchndfhcvnfgvgbhujhgfv.pptxAudience Researchndfhcvnfgvgbhujhgfv.pptx
Audience Researchndfhcvnfgvgbhujhgfv.pptx
Stephen266013
 
obat aborsi Bontang wa 081336238223 jual obat aborsi cytotec asli di Bontang6...
obat aborsi Bontang wa 081336238223 jual obat aborsi cytotec asli di Bontang6...obat aborsi Bontang wa 081336238223 jual obat aborsi cytotec asli di Bontang6...
obat aborsi Bontang wa 081336238223 jual obat aborsi cytotec asli di Bontang6...
yulianti213969
 
如何办理加州大学伯克利分校毕业证(UCB毕业证)成绩单留信学历认证
如何办理加州大学伯克利分校毕业证(UCB毕业证)成绩单留信学历认证如何办理加州大学伯克利分校毕业证(UCB毕业证)成绩单留信学历认证
如何办理加州大学伯克利分校毕业证(UCB毕业证)成绩单留信学历认证
a8om7o51
 
Displacement, Velocity, Acceleration, and Second Derivatives
Displacement, Velocity, Acceleration, and Second DerivativesDisplacement, Velocity, Acceleration, and Second Derivatives
Displacement, Velocity, Acceleration, and Second Derivatives
23050636
 

Recently uploaded (20)

Aggregations - The Elasticsearch "GROUP BY"
Aggregations - The Elasticsearch "GROUP BY"Aggregations - The Elasticsearch "GROUP BY"
Aggregations - The Elasticsearch "GROUP BY"
 
如何办理(Dalhousie毕业证书)达尔豪斯大学毕业证成绩单留信学历认证
如何办理(Dalhousie毕业证书)达尔豪斯大学毕业证成绩单留信学历认证如何办理(Dalhousie毕业证书)达尔豪斯大学毕业证成绩单留信学历认证
如何办理(Dalhousie毕业证书)达尔豪斯大学毕业证成绩单留信学历认证
 
Seven tools of quality control.slideshare
Seven tools of quality control.slideshareSeven tools of quality control.slideshare
Seven tools of quality control.slideshare
 
原件一样伦敦国王学院毕业证成绩单留信学历认证
原件一样伦敦国王学院毕业证成绩单留信学历认证原件一样伦敦国王学院毕业证成绩单留信学历认证
原件一样伦敦国王学院毕业证成绩单留信学历认证
 
Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...
Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...
Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...
 
社内勉強会資料_Object Recognition as Next Token Prediction
社内勉強会資料_Object Recognition as Next Token Prediction社内勉強会資料_Object Recognition as Next Token Prediction
社内勉強会資料_Object Recognition as Next Token Prediction
 
如何办理(UPenn毕业证书)宾夕法尼亚大学毕业证成绩单本科硕士学位证留信学历认证
如何办理(UPenn毕业证书)宾夕法尼亚大学毕业证成绩单本科硕士学位证留信学历认证如何办理(UPenn毕业证书)宾夕法尼亚大学毕业证成绩单本科硕士学位证留信学历认证
如何办理(UPenn毕业证书)宾夕法尼亚大学毕业证成绩单本科硕士学位证留信学历认证
 
Audience Researchndfhcvnfgvgbhujhgfv.pptx
Audience Researchndfhcvnfgvgbhujhgfv.pptxAudience Researchndfhcvnfgvgbhujhgfv.pptx
Audience Researchndfhcvnfgvgbhujhgfv.pptx
 
obat aborsi Bontang wa 081336238223 jual obat aborsi cytotec asli di Bontang6...
obat aborsi Bontang wa 081336238223 jual obat aborsi cytotec asli di Bontang6...obat aborsi Bontang wa 081336238223 jual obat aborsi cytotec asli di Bontang6...
obat aborsi Bontang wa 081336238223 jual obat aborsi cytotec asli di Bontang6...
 
Sensing the Future: Anomaly Detection and Event Prediction in Sensor Networks
Sensing the Future: Anomaly Detection and Event Prediction in Sensor NetworksSensing the Future: Anomaly Detection and Event Prediction in Sensor Networks
Sensing the Future: Anomaly Detection and Event Prediction in Sensor Networks
 
如何办理加州大学伯克利分校毕业证(UCB毕业证)成绩单留信学历认证
如何办理加州大学伯克利分校毕业证(UCB毕业证)成绩单留信学历认证如何办理加州大学伯克利分校毕业证(UCB毕业证)成绩单留信学历认证
如何办理加州大学伯克利分校毕业证(UCB毕业证)成绩单留信学历认证
 
NOAM AAUG Adobe Summit 2024: Summit Slam Dunks
NOAM AAUG Adobe Summit 2024: Summit Slam DunksNOAM AAUG Adobe Summit 2024: Summit Slam Dunks
NOAM AAUG Adobe Summit 2024: Summit Slam Dunks
 
Data Analysis Project Presentation : NYC Shooting Cluster Analysis
Data Analysis Project Presentation : NYC Shooting Cluster AnalysisData Analysis Project Presentation : NYC Shooting Cluster Analysis
Data Analysis Project Presentation : NYC Shooting Cluster Analysis
 
Displacement, Velocity, Acceleration, and Second Derivatives
Displacement, Velocity, Acceleration, and Second DerivativesDisplacement, Velocity, Acceleration, and Second Derivatives
Displacement, Velocity, Acceleration, and Second Derivatives
 
Bios of leading Astrologers & Researchers
Bios of leading Astrologers & ResearchersBios of leading Astrologers & Researchers
Bios of leading Astrologers & Researchers
 
Credit Card Fraud Detection: Safeguarding Transactions in the Digital Age
Credit Card Fraud Detection: Safeguarding Transactions in the Digital AgeCredit Card Fraud Detection: Safeguarding Transactions in the Digital Age
Credit Card Fraud Detection: Safeguarding Transactions in the Digital Age
 
Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...
Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...
Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...
 
Identify Rules that Predict Patient’s Heart Disease - An Application of Decis...
Identify Rules that Predict Patient’s Heart Disease - An Application of Decis...Identify Rules that Predict Patient’s Heart Disease - An Application of Decis...
Identify Rules that Predict Patient’s Heart Disease - An Application of Decis...
 
What is Insertion Sort. Its basic information
What is Insertion Sort. Its basic informationWhat is Insertion Sort. Its basic information
What is Insertion Sort. Its basic information
 
Genuine love spell caster )! ,+27834335081) Ex lover back permanently in At...
Genuine love spell caster )! ,+27834335081)   Ex lover back permanently in At...Genuine love spell caster )! ,+27834335081)   Ex lover back permanently in At...
Genuine love spell caster )! ,+27834335081) Ex lover back permanently in At...
 

5.2 terminologies in probability