SlideShare une entreprise Scribd logo
1  sur  58
 
[object Object],[object Object]
[object Object]
BROAD CLASSIFICATION 02/01/12 QUANTITATIVE TECHNIQUES STATISTICAL TECHNIQUES OPERATION RESEARCH (OR PROGRAMMING) TECHNIQUES
STATISTICAL TECHNIQUES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
OPERATION RESEARCH (OR PROGRAMMING) TECHNIQUES ,[object Object],[object Object],[object Object],[object Object]
QT IN BUSINESS AND MANAGEMENT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],02/01/12
QT IN BUSINESS AND MANAGEMENT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],02/01/12
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],02/01/12 QT IN BUSINESS AND MANAGEMENT
Understanding Research ! ,[object Object],[object Object],[object Object],[object Object]
Objectives of Research ,[object Object],[object Object],[object Object],[object Object]
Features of a Good Research ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ten Steps in the Marketing Research Process ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Step 1: Define the research problem I   ,[object Object],[object Object],[object Object],[object Object]
Step 1: Define the research problem II   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Step 2: Establish Research Objectives ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Step 3: Research Design   ,[object Object],[object Object]
Step 4: Specify the information required.   Step 5: Design the method of collecting the needed information.   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Step 6: Design the questionnaire.   ,[object Object]
Step 7: Decide on the sampling design.  Step 8: Manage and implement the data collection.   ,[object Object],[object Object],[object Object],[object Object]
Step 9:Analyze and interpret the results.   Step 10: Communicate the findings and implications. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Correlation Correlation measures the strength of a  relationship between two variables.
Correlation determines whether values of one variable are related to another.
Independent and Dependent Variables ,[object Object],[object Object]
Example  ,[object Object],[object Object],[object Object],[object Object],Student Hours studied % Grade A 6 82 B 2 63 C 1 57 D 5 88 E 3 68 F 2 75
Correlation Coefficient ,[object Object],[object Object],[object Object]
Positive and Negative Correlations ,[object Object],[object Object]
The Correlation Positive Correlation 0 < R < 1 No Correlation R = 0 Negative Correlation -1 < R < 0
Range of correlation coefficient ,[object Object],[object Object]
Range of correlation coefficient ,[object Object],[object Object]
Range of correlation coefficient ,[object Object]
Computational Formula for Correlation ,[object Object]
Cigarettes ( X ) Lung Capacity ( Y ) 0 45 5 42 10 33 15 31 20 29
Computing a correlation Cigarettes ( X ) XY Lung Capacity ( Y ) 0 0 0 2025 45 5 25 210 1764 42 10 100 330 1089 33 15 225 465 961 31 20 400 580 841 29 50 750 1585 6680 180
Computing a Correlation
Example for correlation coefficient Student Age Blood Pressure A 43 128 B 48 120 C 56 135 D 61 143 E 67 141 F 70 152
Example for correlation coefficient ,[object Object],Student Age Blood Pressure Age*BP age 2 BP 2 A 43 128 5504 1849 16384 B 48 120 5760 2304 14400 C 56 135 7560 3136 18225 D 61 143 8723 3721 20449 E 67 141 9447 4489 19881 F 70 152 10640 4900 23104 Sum 345 819 47634 20399 112443
Example for correlation coefficient ,[object Object],[object Object],[object Object],[object Object]
[object Object]
Example for correlation coefficient Shyness X Speeches Y 0 8 2 10 3 4 6 6 9 1 10 3
Computational Example of  r  for the relationship between Shyness and Speeches (6 X 107) – 30 (32) [6 (230) – 30 2 ] [6 (226) – 32 2  ] r = -.797 Shyness X Speeches Y XY X 2 Y 2 0 8 0 0 64 2 10 20 4 100 3 4 12 9 16 6 6 36 36 36 9 1 9 81 1 10 3 30 100 9 30 32 107 230 226
Alternative Formula for the Correlation Coefficient
 
Partial correlation ,[object Object],[object Object]
Partial correlation ,[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object]
Types of Partial correlation ,[object Object],[object Object]
Types of Partial correlation
 
 
 
[object Object],[object Object],[object Object]
 
[object Object]
 
[object Object]
 

Contenu connexe

Tendances

Basics of data_interpretation
Basics of data_interpretationBasics of data_interpretation
Basics of data_interpretationVasista Vinuthan
 
Data analysis market research
Data analysis   market researchData analysis   market research
Data analysis market researchsachinudepurkar
 
Statics for the management
Statics for the managementStatics for the management
Statics for the managementRohit Mishra
 
Mba ii rm unit-4.1 data analysis & presentation a
Mba ii rm unit-4.1 data analysis & presentation aMba ii rm unit-4.1 data analysis & presentation a
Mba ii rm unit-4.1 data analysis & presentation aRai University
 
Construction of composite index: process & methods
Construction of composite index:  process & methodsConstruction of composite index:  process & methods
Construction of composite index: process & methodsgopichandbalusu
 
Business Statistics
Business StatisticsBusiness Statistics
Business StatisticsTim Walters
 
Chapter 8 Marketing Research Malhotra
Chapter 8 Marketing Research MalhotraChapter 8 Marketing Research Malhotra
Chapter 8 Marketing Research MalhotraAADITYA TANTIA
 
Final spss hands on training (descriptive analysis) may 24th 2013
Final spss  hands on training (descriptive analysis) may 24th 2013Final spss  hands on training (descriptive analysis) may 24th 2013
Final spss hands on training (descriptive analysis) may 24th 2013Tin Myo Han
 
Reviewing quantitative articles_and_checklist
Reviewing quantitative articles_and_checklistReviewing quantitative articles_and_checklist
Reviewing quantitative articles_and_checklistLasse Torkkeli
 
Measurement and scaling
Measurement and scalingMeasurement and scaling
Measurement and scalingBalaji P
 
Statistical analysis using spss
Statistical analysis using spssStatistical analysis using spss
Statistical analysis using spssjpcagphil
 
Exploratory Factor Analysis Assignment 2013-2014(1)
Exploratory Factor Analysis Assignment 2013-2014(1)Exploratory Factor Analysis Assignment 2013-2014(1)
Exploratory Factor Analysis Assignment 2013-2014(1)TIEZHENG YUAN
 
Scaling and Measurement techniques
Scaling and Measurement techniquesScaling and Measurement techniques
Scaling and Measurement techniquesJignesh Kariya
 
Questionnaire analysis using_spss
Questionnaire analysis using_spssQuestionnaire analysis using_spss
Questionnaire analysis using_spssKritika Jain
 
Abdm4064 week 11 data analysis
Abdm4064 week 11 data analysisAbdm4064 week 11 data analysis
Abdm4064 week 11 data analysisStephen Ong
 
Introduction to business statistics
Introduction to business statisticsIntroduction to business statistics
Introduction to business statisticsAakash Kulkarni
 
Mba2216 week 11 data analysis part 03 appendix
Mba2216 week 11 data analysis part 03 appendixMba2216 week 11 data analysis part 03 appendix
Mba2216 week 11 data analysis part 03 appendixStephen Ong
 

Tendances (20)

Research methodology presentation
Research methodology presentationResearch methodology presentation
Research methodology presentation
 
Basics of data_interpretation
Basics of data_interpretationBasics of data_interpretation
Basics of data_interpretation
 
Business statistics
Business statisticsBusiness statistics
Business statistics
 
Data analysis market research
Data analysis   market researchData analysis   market research
Data analysis market research
 
Statics for the management
Statics for the managementStatics for the management
Statics for the management
 
Mba ii rm unit-4.1 data analysis & presentation a
Mba ii rm unit-4.1 data analysis & presentation aMba ii rm unit-4.1 data analysis & presentation a
Mba ii rm unit-4.1 data analysis & presentation a
 
Construction of composite index: process & methods
Construction of composite index:  process & methodsConstruction of composite index:  process & methods
Construction of composite index: process & methods
 
Business Statistics
Business StatisticsBusiness Statistics
Business Statistics
 
Chapter 8 Marketing Research Malhotra
Chapter 8 Marketing Research MalhotraChapter 8 Marketing Research Malhotra
Chapter 8 Marketing Research Malhotra
 
Final spss hands on training (descriptive analysis) may 24th 2013
Final spss  hands on training (descriptive analysis) may 24th 2013Final spss  hands on training (descriptive analysis) may 24th 2013
Final spss hands on training (descriptive analysis) may 24th 2013
 
Reviewing quantitative articles_and_checklist
Reviewing quantitative articles_and_checklistReviewing quantitative articles_and_checklist
Reviewing quantitative articles_and_checklist
 
Measurement and scaling
Measurement and scalingMeasurement and scaling
Measurement and scaling
 
Statistical analysis using spss
Statistical analysis using spssStatistical analysis using spss
Statistical analysis using spss
 
Research methodology
Research methodologyResearch methodology
Research methodology
 
Exploratory Factor Analysis Assignment 2013-2014(1)
Exploratory Factor Analysis Assignment 2013-2014(1)Exploratory Factor Analysis Assignment 2013-2014(1)
Exploratory Factor Analysis Assignment 2013-2014(1)
 
Scaling and Measurement techniques
Scaling and Measurement techniquesScaling and Measurement techniques
Scaling and Measurement techniques
 
Questionnaire analysis using_spss
Questionnaire analysis using_spssQuestionnaire analysis using_spss
Questionnaire analysis using_spss
 
Abdm4064 week 11 data analysis
Abdm4064 week 11 data analysisAbdm4064 week 11 data analysis
Abdm4064 week 11 data analysis
 
Introduction to business statistics
Introduction to business statisticsIntroduction to business statistics
Introduction to business statistics
 
Mba2216 week 11 data analysis part 03 appendix
Mba2216 week 11 data analysis part 03 appendixMba2216 week 11 data analysis part 03 appendix
Mba2216 week 11 data analysis part 03 appendix
 

En vedette

Merchant and Investment Banking (IPO Process)
Merchant and Investment Banking (IPO Process)Merchant and Investment Banking (IPO Process)
Merchant and Investment Banking (IPO Process)Enamul Hasan Niloy
 
An introduction to decision trees
An introduction to decision treesAn introduction to decision trees
An introduction to decision treesFahim Muntaha
 
Render 03 Quantitative analysis for management
Render 03 Quantitative analysis for managementRender 03 Quantitative analysis for management
Render 03 Quantitative analysis for managementFranchezka Pegollo
 
QUANTITATIVE TECHNIQUE IN BUSINESS
QUANTITATIVE TECHNIQUE IN BUSINESSQUANTITATIVE TECHNIQUE IN BUSINESS
QUANTITATIVE TECHNIQUE IN BUSINESSMutahir Bilal
 
Trend adjusted exponential smoothing forecasting metho ds
Trend adjusted exponential smoothing forecasting metho dsTrend adjusted exponential smoothing forecasting metho ds
Trend adjusted exponential smoothing forecasting metho dsKiran Hanjar
 
Quantitative approach 1
Quantitative approach 1Quantitative approach 1
Quantitative approach 1Sri Naga Ramya
 
Importance of quantitative techniques in managerial decisions
Importance of quantitative techniques in managerial decisionsImportance of quantitative techniques in managerial decisions
Importance of quantitative techniques in managerial decisionsAman Sinha
 
Quantitative Analysis For Decision Making
Quantitative Analysis For Decision MakingQuantitative Analysis For Decision Making
Quantitative Analysis For Decision Makingaminsand
 
IPO process in Bangladesh and performance analysis
IPO process in Bangladesh and performance analysisIPO process in Bangladesh and performance analysis
IPO process in Bangladesh and performance analysisSumaiya Akter
 
QUANTITATIVE TECHNIQUE IN BUSINESS
QUANTITATIVE TECHNIQUE IN BUSINESSQUANTITATIVE TECHNIQUE IN BUSINESS
QUANTITATIVE TECHNIQUE IN BUSINESSMutahir Bilal
 
Presentation on bangladesh stock market
Presentation on bangladesh stock market Presentation on bangladesh stock market
Presentation on bangladesh stock market University of Dhaka
 
Quantitative techniques introduction 19 pages
Quantitative techniques introduction 19 pagesQuantitative techniques introduction 19 pages
Quantitative techniques introduction 19 pagestaniyakhurana
 

En vedette (13)

Merchant and Investment Banking (IPO Process)
Merchant and Investment Banking (IPO Process)Merchant and Investment Banking (IPO Process)
Merchant and Investment Banking (IPO Process)
 
An introduction to decision trees
An introduction to decision treesAn introduction to decision trees
An introduction to decision trees
 
Adj Exp Smoothing
Adj Exp SmoothingAdj Exp Smoothing
Adj Exp Smoothing
 
Render 03 Quantitative analysis for management
Render 03 Quantitative analysis for managementRender 03 Quantitative analysis for management
Render 03 Quantitative analysis for management
 
QUANTITATIVE TECHNIQUE IN BUSINESS
QUANTITATIVE TECHNIQUE IN BUSINESSQUANTITATIVE TECHNIQUE IN BUSINESS
QUANTITATIVE TECHNIQUE IN BUSINESS
 
Trend adjusted exponential smoothing forecasting metho ds
Trend adjusted exponential smoothing forecasting metho dsTrend adjusted exponential smoothing forecasting metho ds
Trend adjusted exponential smoothing forecasting metho ds
 
Quantitative approach 1
Quantitative approach 1Quantitative approach 1
Quantitative approach 1
 
Importance of quantitative techniques in managerial decisions
Importance of quantitative techniques in managerial decisionsImportance of quantitative techniques in managerial decisions
Importance of quantitative techniques in managerial decisions
 
Quantitative Analysis For Decision Making
Quantitative Analysis For Decision MakingQuantitative Analysis For Decision Making
Quantitative Analysis For Decision Making
 
IPO process in Bangladesh and performance analysis
IPO process in Bangladesh and performance analysisIPO process in Bangladesh and performance analysis
IPO process in Bangladesh and performance analysis
 
QUANTITATIVE TECHNIQUE IN BUSINESS
QUANTITATIVE TECHNIQUE IN BUSINESSQUANTITATIVE TECHNIQUE IN BUSINESS
QUANTITATIVE TECHNIQUE IN BUSINESS
 
Presentation on bangladesh stock market
Presentation on bangladesh stock market Presentation on bangladesh stock market
Presentation on bangladesh stock market
 
Quantitative techniques introduction 19 pages
Quantitative techniques introduction 19 pagesQuantitative techniques introduction 19 pages
Quantitative techniques introduction 19 pages
 

Similaire à 16497 mgt 252

quantitative-research.pptx
quantitative-research.pptxquantitative-research.pptx
quantitative-research.pptxcjoypingaron
 
Unit 3 Qualitative Data
Unit 3 Qualitative DataUnit 3 Qualitative Data
Unit 3 Qualitative DataSherry Bailey
 
Importance Of Management Research
Importance Of Management ResearchImportance Of Management Research
Importance Of Management ResearchBeth Hernandez
 
Executive Program Practical Connection Assignment - 100 poin
Executive Program Practical Connection Assignment - 100 poinExecutive Program Practical Connection Assignment - 100 poin
Executive Program Practical Connection Assignment - 100 poinBetseyCalderon89
 
PR2-Q2-Module-1 (1).pdf
PR2-Q2-Module-1 (1).pdfPR2-Q2-Module-1 (1).pdf
PR2-Q2-Module-1 (1).pdfPedroGenosas
 
Ms 66 marketing research
Ms 66 marketing researchMs 66 marketing research
Ms 66 marketing researchsmumbahelp
 
Research design
Research designResearch design
Research designkompellark
 
Quantitative Article Analysis WorksheetAnalyze and critique a qu.docx
Quantitative Article Analysis WorksheetAnalyze and critique a qu.docxQuantitative Article Analysis WorksheetAnalyze and critique a qu.docx
Quantitative Article Analysis WorksheetAnalyze and critique a qu.docxamrit47
 
Week11-EvaluationMethods.ppt
Week11-EvaluationMethods.pptWeek11-EvaluationMethods.ppt
Week11-EvaluationMethods.pptKamranAli649587
 
Sir Tariq M. Research.2 (1)
Sir Tariq M. Research.2 (1)Sir Tariq M. Research.2 (1)
Sir Tariq M. Research.2 (1)Ashar Azam
 
Research Writing Methodology
Research Writing MethodologyResearch Writing Methodology
Research Writing MethodologyAiden Yeh
 
Development of Multidimensional Scales using Structural Equation Modeling
Development of Multidimensional Scales using  Structural Equation ModelingDevelopment of Multidimensional Scales using  Structural Equation Modeling
Development of Multidimensional Scales using Structural Equation ModelingSethuraman Paramasivan
 
data science course with placement in hyderabad
data science course with placement in hyderabaddata science course with placement in hyderabad
data science course with placement in hyderabadmaneesha2312
 
Ms 66 marketing research
Ms 66 marketing researchMs 66 marketing research
Ms 66 marketing researchsmumbahelp
 

Similaire à 16497 mgt 252 (20)

quantitative-research.pptx
quantitative-research.pptxquantitative-research.pptx
quantitative-research.pptx
 
Unit 3 Qualitative Data
Unit 3 Qualitative DataUnit 3 Qualitative Data
Unit 3 Qualitative Data
 
MBA
MBAMBA
MBA
 
Importance Of Management Research
Importance Of Management ResearchImportance Of Management Research
Importance Of Management Research
 
Executive Program Practical Connection Assignment - 100 poin
Executive Program Practical Connection Assignment - 100 poinExecutive Program Practical Connection Assignment - 100 poin
Executive Program Practical Connection Assignment - 100 poin
 
RM Module 2.pptx
RM Module 2.pptxRM Module 2.pptx
RM Module 2.pptx
 
PR2-Q2-Module-1 (1).pdf
PR2-Q2-Module-1 (1).pdfPR2-Q2-Module-1 (1).pdf
PR2-Q2-Module-1 (1).pdf
 
A sample report on research skills
A sample report on research skillsA sample report on research skills
A sample report on research skills
 
Research Design _komal-1.docx
Research Design _komal-1.docxResearch Design _komal-1.docx
Research Design _komal-1.docx
 
Ms 66 marketing research
Ms 66 marketing researchMs 66 marketing research
Ms 66 marketing research
 
Prac Res 2_Q1M1.pdf
Prac Res 2_Q1M1.pdfPrac Res 2_Q1M1.pdf
Prac Res 2_Q1M1.pdf
 
Media research
Media researchMedia research
Media research
 
Research design
Research designResearch design
Research design
 
Quantitative Article Analysis WorksheetAnalyze and critique a qu.docx
Quantitative Article Analysis WorksheetAnalyze and critique a qu.docxQuantitative Article Analysis WorksheetAnalyze and critique a qu.docx
Quantitative Article Analysis WorksheetAnalyze and critique a qu.docx
 
Week11-EvaluationMethods.ppt
Week11-EvaluationMethods.pptWeek11-EvaluationMethods.ppt
Week11-EvaluationMethods.ppt
 
Sir Tariq M. Research.2 (1)
Sir Tariq M. Research.2 (1)Sir Tariq M. Research.2 (1)
Sir Tariq M. Research.2 (1)
 
Research Writing Methodology
Research Writing MethodologyResearch Writing Methodology
Research Writing Methodology
 
Development of Multidimensional Scales using Structural Equation Modeling
Development of Multidimensional Scales using  Structural Equation ModelingDevelopment of Multidimensional Scales using  Structural Equation Modeling
Development of Multidimensional Scales using Structural Equation Modeling
 
data science course with placement in hyderabad
data science course with placement in hyderabaddata science course with placement in hyderabad
data science course with placement in hyderabad
 
Ms 66 marketing research
Ms 66 marketing researchMs 66 marketing research
Ms 66 marketing research
 

Dernier

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 

Dernier (20)

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 

16497 mgt 252

Notes de l'éditeur

  1. Whether it is a manufacturing unit, or a service organization, the resources have to be utilized to its maximum in an efficient manner.
  2. 5 5
  3. 7 7 Marketing problems may be difficulty-related or opportunity-related. For both, the prerequisite of defining the problem is to identify and diagnose it. Conduct situation analysis. It provides the basic motivation and momentum for further research.
  4. 9 9
  5. 11 10
  6. 14 11 Hypotheses: A hypothesis is a tentative statement that proposes a possible explanation to some phenomenon or event. Usually, a hypothesis is based on some previous observation such as noticing that in November many trees undergo color changes in their leaves and the average daily temperatures are dropping.
  7. 15 13
  8. 16 15
  9. 17 16