SlideShare a Scribd company logo
1 of 4
Download Here
Received 40/40 Points
Week 1, Quiz 1
1.Total cost equal the fixed cost plus the variable cost per unit divided by volume
• True
• False
2.Objective probabilities that can be stated prior to the occurrence of an event are
• Subjective
• A priori
• Classical or a priori
• None of the above
3.An experiment is an activity that results in one of several possible outcomes.
• True
• False
4.Variable costs are independent of volume and remain constant.
• True
• False
5. Which of the following is an equation or an inequality that expresses a resource restriction in a
mathematical model?
• Decision variable
• Data
• An objective function
• A constraint
• A parameter
6. Which of the following is incorrect with respect to the use of models in decision making?
• they improve understanding of the problem
• they promote subjectivity in decision making
• they are generally easy to use
• they provide a systematic approach to problem solving
7. The steps of the scientific method are:
• Problem definition, model construction, observation, model solution
implementation
• Observation, problem definition, model construction, model solution
Implementation
• model construction, problem definition, observation, model solution
implementation
• Observation, implementation, problem definition, model construction, model
solution
8. A frequency distribution is an organization of numerical data about the events in an
experiment.
• True
• False
9. The events in an experiment are mutually exclusive if only one can occur at a time
• True
• False
10. The probabilities of mutually exclusive events sum to zero.
• True
• False
11. Which of the following is not an alternative name for management science ?
• decision sciences
• quantitative methods
• quantitative analysis
• operations research
• decision support systems
12. In a given experiment the probabilities of mutually exclusive events sum to
• 0
• 0.5
• 1
• Non of the above
13.____________techniques includes uncertainty and assume that there can be more than one
model solution
• Deterministic
• Probabilistic
• Distribution
• Probability
14. A set of events is collectively exhaustive when it includes_________ the events that can
occur in an experiment.
• Some of
• One of
• All
• Any of
15. A__________ probability is the probability that two or more events that are not mutually
exclusive can occur simultaneously.
• Joint
• Marginal
• Subjective
• Binomial
16. In a given experiment, the probabilities of all mutually exclusive events sum to one
• True
• False
17. Profit is the difference between total revenue and total cost.
• True
• False
18. Fixed costs depend on the number of items produced
• True
• False
19. A model is a functional and include
• Variable
• Parameters
• Equations
• All of the above
20. The term decision analysis refers to testing how a problem solution reacts to changes in one
or more of the model parameters
• True
• False

More Related Content

What's hot

Basic Statistical Concepts & Decision-Making
Basic Statistical Concepts & Decision-MakingBasic Statistical Concepts & Decision-Making
Basic Statistical Concepts & Decision-MakingPenn State University
 
COVID and Causal Inference -- NAS CATS 6/2020
COVID and Causal Inference -- NAS CATS 6/2020COVID and Causal Inference -- NAS CATS 6/2020
COVID and Causal Inference -- NAS CATS 6/2020Ellie Murray
 
What should we expect from reproducibiliry
What should we expect from reproducibiliryWhat should we expect from reproducibiliry
What should we expect from reproducibiliryStephen Senn
 
8. free operant preference assessment
8. free operant preference assessment8. free operant preference assessment
8. free operant preference assessmentGrecia1889
 
What is your question
What is your questionWhat is your question
What is your questionStephenSenn2
 
DISummit - Denguehack winners The Juniors
DISummit  - Denguehack winners The JuniorsDISummit  - Denguehack winners The Juniors
DISummit - Denguehack winners The JuniorsNico Verheyden
 
ISCRAM 2013: A Fine-Grained Sentiment Analysis Approach for Detecting Crisis ...
ISCRAM 2013: A Fine-Grained Sentiment Analysis Approach for Detecting Crisis ...ISCRAM 2013: A Fine-Grained Sentiment Analysis Approach for Detecting Crisis ...
ISCRAM 2013: A Fine-Grained Sentiment Analysis Approach for Detecting Crisis ...ISCRAM Events
 
First in man tokyo
First in man tokyoFirst in man tokyo
First in man tokyoStephen Senn
 
Types of statistical analysis infographic
Types of statistical analysis infographicTypes of statistical analysis infographic
Types of statistical analysis infographicIntellspot
 
A Proof-of-Concept Visualization to Increase Comprehension of Personal Medica...
A Proof-of-Concept Visualization to Increase Comprehension of Personal Medica...A Proof-of-Concept Visualization to Increase Comprehension of Personal Medica...
A Proof-of-Concept Visualization to Increase Comprehension of Personal Medica...Robin De Croon
 
Causal inference for complex exposures: asking questions that matter, getting...
Causal inference for complex exposures: asking questions that matter, getting...Causal inference for complex exposures: asking questions that matter, getting...
Causal inference for complex exposures: asking questions that matter, getting...Ellie Murray
 
Seven myths of randomisation
Seven myths of randomisation Seven myths of randomisation
Seven myths of randomisation Stephen Senn
 
Power, effect size, and Issues in NHST
Power, effect size, and Issues in NHSTPower, effect size, and Issues in NHST
Power, effect size, and Issues in NHSTCarlo Magno
 
Why I hate minimisation
Why I hate minimisationWhy I hate minimisation
Why I hate minimisationStephen Senn
 
Pragmatic Challenges in the Evaluation of Interactive Visualization Systems.
Pragmatic Challenges in the Evaluation of Interactive Visualization Systems.Pragmatic Challenges in the Evaluation of Interactive Visualization Systems.
Pragmatic Challenges in the Evaluation of Interactive Visualization Systems.BELIV Workshop
 

What's hot (20)

Basic Statistical Concepts & Decision-Making
Basic Statistical Concepts & Decision-MakingBasic Statistical Concepts & Decision-Making
Basic Statistical Concepts & Decision-Making
 
COVID and Causal Inference -- NAS CATS 6/2020
COVID and Causal Inference -- NAS CATS 6/2020COVID and Causal Inference -- NAS CATS 6/2020
COVID and Causal Inference -- NAS CATS 6/2020
 
What should we expect from reproducibiliry
What should we expect from reproducibiliryWhat should we expect from reproducibiliry
What should we expect from reproducibiliry
 
8. free operant preference assessment
8. free operant preference assessment8. free operant preference assessment
8. free operant preference assessment
 
Experimental Causal Inference
Experimental Causal InferenceExperimental Causal Inference
Experimental Causal Inference
 
P-values in crisis
P-values in crisisP-values in crisis
P-values in crisis
 
MGT420 : chapter 4
MGT420 : chapter 4 MGT420 : chapter 4
MGT420 : chapter 4
 
What is your question
What is your questionWhat is your question
What is your question
 
DISummit - Denguehack winners The Juniors
DISummit  - Denguehack winners The JuniorsDISummit  - Denguehack winners The Juniors
DISummit - Denguehack winners The Juniors
 
ISCRAM 2013: A Fine-Grained Sentiment Analysis Approach for Detecting Crisis ...
ISCRAM 2013: A Fine-Grained Sentiment Analysis Approach for Detecting Crisis ...ISCRAM 2013: A Fine-Grained Sentiment Analysis Approach for Detecting Crisis ...
ISCRAM 2013: A Fine-Grained Sentiment Analysis Approach for Detecting Crisis ...
 
First in man tokyo
First in man tokyoFirst in man tokyo
First in man tokyo
 
Fuzzy soft set theory
Fuzzy soft set theoryFuzzy soft set theory
Fuzzy soft set theory
 
Types of statistical analysis infographic
Types of statistical analysis infographicTypes of statistical analysis infographic
Types of statistical analysis infographic
 
A Proof-of-Concept Visualization to Increase Comprehension of Personal Medica...
A Proof-of-Concept Visualization to Increase Comprehension of Personal Medica...A Proof-of-Concept Visualization to Increase Comprehension of Personal Medica...
A Proof-of-Concept Visualization to Increase Comprehension of Personal Medica...
 
Causal inference for complex exposures: asking questions that matter, getting...
Causal inference for complex exposures: asking questions that matter, getting...Causal inference for complex exposures: asking questions that matter, getting...
Causal inference for complex exposures: asking questions that matter, getting...
 
Seven myths of randomisation
Seven myths of randomisation Seven myths of randomisation
Seven myths of randomisation
 
Power, effect size, and Issues in NHST
Power, effect size, and Issues in NHSTPower, effect size, and Issues in NHST
Power, effect size, and Issues in NHST
 
Why I hate minimisation
Why I hate minimisationWhy I hate minimisation
Why I hate minimisation
 
Pragmatic Challenges in the Evaluation of Interactive Visualization Systems.
Pragmatic Challenges in the Evaluation of Interactive Visualization Systems.Pragmatic Challenges in the Evaluation of Interactive Visualization Systems.
Pragmatic Challenges in the Evaluation of Interactive Visualization Systems.
 
Evaluating the cost-effectiveness of development investments
Evaluating the cost-effectiveness of development investmentsEvaluating the cost-effectiveness of development investments
Evaluating the cost-effectiveness of development investments
 

Viewers also liked

Viewers also liked (8)

Mat 540 week 5 quiz 3
Mat 540 week 5  quiz 3  Mat 540 week 5  quiz 3
Mat 540 week 5 quiz 3
 
All Certificates
All CertificatesAll Certificates
All Certificates
 
Youturn.app
Youturn.appYouturn.app
Youturn.app
 
Habits for the Creative Soul
Habits for the Creative SoulHabits for the Creative Soul
Habits for the Creative Soul
 
Workflow of-creating-of-terminology-database
Workflow of-creating-of-terminology-databaseWorkflow of-creating-of-terminology-database
Workflow of-creating-of-terminology-database
 
0307_HDRA1
0307_HDRA10307_HDRA1
0307_HDRA1
 
Hadoop training and placement
Hadoop training and placementHadoop training and placement
Hadoop training and placement
 
ThorpsCuriousDecision
ThorpsCuriousDecisionThorpsCuriousDecision
ThorpsCuriousDecision
 

Similar to Mat 540 week 1 quiz 1 2nd set

Mat 540 quiz 1
Mat 540 quiz 1Mat 540 quiz 1
Mat 540 quiz 1oking2777
 
TIARA Module 3 Design and Analysis Dr. Anne Sales 082019
TIARA Module 3 Design and Analysis  Dr. Anne Sales 082019TIARA Module 3 Design and Analysis  Dr. Anne Sales 082019
TIARA Module 3 Design and Analysis Dr. Anne Sales 082019Stacy Farr, PhD, MPH
 
Ch07 Experimental & Quasi-Experimental Designs
Ch07 Experimental & Quasi-Experimental DesignsCh07 Experimental & Quasi-Experimental Designs
Ch07 Experimental & Quasi-Experimental Designsyxl007
 
The fiction of optimization and deliberate practice, A Decision/Action Model ...
The fiction of optimization and deliberate practice, A Decision/Action Model ...The fiction of optimization and deliberate practice, A Decision/Action Model ...
The fiction of optimization and deliberate practice, A Decision/Action Model ...Larry Paul
 
Problem Solving Techniques - LEAN
Problem Solving Techniques - LEANProblem Solving Techniques - LEAN
Problem Solving Techniques - LEANSwamy Gelli V S Ch
 
Analytic emperical Mehods
Analytic emperical MehodsAnalytic emperical Mehods
Analytic emperical MehodsM Surendar
 
Overview of the Possibilities of Quantitative Methods in Political Science
Overview of the Possibilities of Quantitative Methods in Political ScienceOverview of the Possibilities of Quantitative Methods in Political Science
Overview of the Possibilities of Quantitative Methods in Political Scienceenvironmentalconflicts
 
Planning of the experiments in research
Planning of the experiments in researchPlanning of the experiments in research
Planning of the experiments in researchpbbharate
 
User Experiments in Human-Computer Interaction
User Experiments in Human-Computer InteractionUser Experiments in Human-Computer Interaction
User Experiments in Human-Computer InteractionDr. Arindam Dey
 
15th batch NPTI Validity & Reliablity Business Research Methods
15th batch NPTI Validity & Reliablity Business Research Methods 15th batch NPTI Validity & Reliablity Business Research Methods
15th batch NPTI Validity & Reliablity Business Research Methods Ravi Pohani
 
Ppt methods of acquiring knowledge
Ppt methods of acquiring knowledgePpt methods of acquiring knowledge
Ppt methods of acquiring knowledgejyoti dwivedi
 
Dowhy: An end-to-end library for causal inference
Dowhy: An end-to-end library for causal inferenceDowhy: An end-to-end library for causal inference
Dowhy: An end-to-end library for causal inferenceAmit Sharma
 
Bmgt 311 chapter_10
Bmgt 311 chapter_10Bmgt 311 chapter_10
Bmgt 311 chapter_10Chris Lovett
 
Experimental Quasi Designs and bacon bites
Experimental Quasi Designs and bacon bitesExperimental Quasi Designs and bacon bites
Experimental Quasi Designs and bacon bitespq5jnhdws9
 

Similar to Mat 540 week 1 quiz 1 2nd set (20)

Mat 540 quiz 1
Mat 540 quiz 1Mat 540 quiz 1
Mat 540 quiz 1
 
TIARA Module 3 Design and Analysis Dr. Anne Sales 082019
TIARA Module 3 Design and Analysis  Dr. Anne Sales 082019TIARA Module 3 Design and Analysis  Dr. Anne Sales 082019
TIARA Module 3 Design and Analysis Dr. Anne Sales 082019
 
Ch07 Experimental & Quasi-Experimental Designs
Ch07 Experimental & Quasi-Experimental DesignsCh07 Experimental & Quasi-Experimental Designs
Ch07 Experimental & Quasi-Experimental Designs
 
The fiction of optimization and deliberate practice, A Decision/Action Model ...
The fiction of optimization and deliberate practice, A Decision/Action Model ...The fiction of optimization and deliberate practice, A Decision/Action Model ...
The fiction of optimization and deliberate practice, A Decision/Action Model ...
 
Problem Solving Techniques - LEAN
Problem Solving Techniques - LEANProblem Solving Techniques - LEAN
Problem Solving Techniques - LEAN
 
decision-making.pptx
decision-making.pptxdecision-making.pptx
decision-making.pptx
 
Chapter13
Chapter13Chapter13
Chapter13
 
Hnc research methodology
Hnc research methodologyHnc research methodology
Hnc research methodology
 
Analytic emperical Mehods
Analytic emperical MehodsAnalytic emperical Mehods
Analytic emperical Mehods
 
Overview of the Possibilities of Quantitative Methods in Political Science
Overview of the Possibilities of Quantitative Methods in Political ScienceOverview of the Possibilities of Quantitative Methods in Political Science
Overview of the Possibilities of Quantitative Methods in Political Science
 
Chapter7
Chapter7Chapter7
Chapter7
 
Planning of the experiments in research
Planning of the experiments in researchPlanning of the experiments in research
Planning of the experiments in research
 
User Experiments in Human-Computer Interaction
User Experiments in Human-Computer InteractionUser Experiments in Human-Computer Interaction
User Experiments in Human-Computer Interaction
 
15th batch NPTI Validity & Reliablity Business Research Methods
15th batch NPTI Validity & Reliablity Business Research Methods 15th batch NPTI Validity & Reliablity Business Research Methods
15th batch NPTI Validity & Reliablity Business Research Methods
 
Root Cause Analysis
Root Cause AnalysisRoot Cause Analysis
Root Cause Analysis
 
Ppt methods of acquiring knowledge
Ppt methods of acquiring knowledgePpt methods of acquiring knowledge
Ppt methods of acquiring knowledge
 
Dowhy: An end-to-end library for causal inference
Dowhy: An end-to-end library for causal inferenceDowhy: An end-to-end library for causal inference
Dowhy: An end-to-end library for causal inference
 
Bmgt 311 chapter_10
Bmgt 311 chapter_10Bmgt 311 chapter_10
Bmgt 311 chapter_10
 
week 11b.pptx
week 11b.pptxweek 11b.pptx
week 11b.pptx
 
Experimental Quasi Designs and bacon bites
Experimental Quasi Designs and bacon bitesExperimental Quasi Designs and bacon bites
Experimental Quasi Designs and bacon bites
 

More from getwisdom

Eco 550 week 8 chapter 11, 12 quiz 6
Eco 550 week 8  chapter 11, 12  quiz 6Eco 550 week 8  chapter 11, 12  quiz 6
Eco 550 week 8 chapter 11, 12 quiz 6getwisdom
 
Qnt 561 complete class entire course all assignments and dqs
Qnt 561 complete class entire course all assignments and dqs Qnt 561 complete class entire course all assignments and dqs
Qnt 561 complete class entire course all assignments and dqs getwisdom
 
Mat 540 week 9 quiz5
Mat 540 week 9  quiz5Mat 540 week 9  quiz5
Mat 540 week 9 quiz5getwisdom
 
Mat 540 week 5 quiz3
Mat 540 week 5  quiz3Mat 540 week 5  quiz3
Mat 540 week 5 quiz3getwisdom
 
Mat 540 wee k 11 final exam
Mat 540 wee k 11 final examMat 540 wee k 11 final exam
Mat 540 wee k 11 final examgetwisdom
 
Mat 540 week 9 quiz 5
Mat 540 week 9  quiz 5  Mat 540 week 9  quiz 5
Mat 540 week 9 quiz 5 getwisdom
 

More from getwisdom (6)

Eco 550 week 8 chapter 11, 12 quiz 6
Eco 550 week 8  chapter 11, 12  quiz 6Eco 550 week 8  chapter 11, 12  quiz 6
Eco 550 week 8 chapter 11, 12 quiz 6
 
Qnt 561 complete class entire course all assignments and dqs
Qnt 561 complete class entire course all assignments and dqs Qnt 561 complete class entire course all assignments and dqs
Qnt 561 complete class entire course all assignments and dqs
 
Mat 540 week 9 quiz5
Mat 540 week 9  quiz5Mat 540 week 9  quiz5
Mat 540 week 9 quiz5
 
Mat 540 week 5 quiz3
Mat 540 week 5  quiz3Mat 540 week 5  quiz3
Mat 540 week 5 quiz3
 
Mat 540 wee k 11 final exam
Mat 540 wee k 11 final examMat 540 wee k 11 final exam
Mat 540 wee k 11 final exam
 
Mat 540 week 9 quiz 5
Mat 540 week 9  quiz 5  Mat 540 week 9  quiz 5
Mat 540 week 9 quiz 5
 

Recently uploaded

How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesThousandEyes
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Alkin Tezuysal
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Hiroshi SHIBATA
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsNathaniel Shimoni
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 

Recently uploaded (20)

How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examples
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directions
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 

Mat 540 week 1 quiz 1 2nd set

  • 1. Download Here Received 40/40 Points Week 1, Quiz 1 1.Total cost equal the fixed cost plus the variable cost per unit divided by volume • True • False 2.Objective probabilities that can be stated prior to the occurrence of an event are • Subjective • A priori • Classical or a priori • None of the above 3.An experiment is an activity that results in one of several possible outcomes. • True • False 4.Variable costs are independent of volume and remain constant. • True • False 5. Which of the following is an equation or an inequality that expresses a resource restriction in a mathematical model? • Decision variable • Data • An objective function • A constraint
  • 2. • A parameter 6. Which of the following is incorrect with respect to the use of models in decision making? • they improve understanding of the problem • they promote subjectivity in decision making • they are generally easy to use • they provide a systematic approach to problem solving 7. The steps of the scientific method are: • Problem definition, model construction, observation, model solution implementation • Observation, problem definition, model construction, model solution Implementation • model construction, problem definition, observation, model solution implementation • Observation, implementation, problem definition, model construction, model solution 8. A frequency distribution is an organization of numerical data about the events in an experiment. • True • False 9. The events in an experiment are mutually exclusive if only one can occur at a time • True • False 10. The probabilities of mutually exclusive events sum to zero. • True • False 11. Which of the following is not an alternative name for management science ? • decision sciences
  • 3. • quantitative methods • quantitative analysis • operations research • decision support systems 12. In a given experiment the probabilities of mutually exclusive events sum to • 0 • 0.5 • 1 • Non of the above 13.____________techniques includes uncertainty and assume that there can be more than one model solution • Deterministic • Probabilistic • Distribution • Probability 14. A set of events is collectively exhaustive when it includes_________ the events that can occur in an experiment. • Some of • One of • All • Any of 15. A__________ probability is the probability that two or more events that are not mutually exclusive can occur simultaneously. • Joint • Marginal • Subjective
  • 4. • Binomial 16. In a given experiment, the probabilities of all mutually exclusive events sum to one • True • False 17. Profit is the difference between total revenue and total cost. • True • False 18. Fixed costs depend on the number of items produced • True • False 19. A model is a functional and include • Variable • Parameters • Equations • All of the above 20. The term decision analysis refers to testing how a problem solution reacts to changes in one or more of the model parameters • True • False