Question 1

Which of the following statements are true?

Accepted Answer

A) Three important themes run through the book.Two of them are in the title: data analysis and decision making.The third is dealing with uncertainty. 
B) Data analysis includes data description,data inference,and the search for relationships in data 
C) Decision making includes optimization techniques for problems with no uncertainty,decision analysis for problems with uncertainty,and structured sensitivity analysis. 
D) Dealing with uncertainty includes measuring uncertainty and modeling uncertainty explicitly into the analysis. 
E) All of these options 
A) Three important themes run through the book.Two of them are in the title: data analysis and decision making.The third is dealing with uncertainty. 
B) Data analysis includes data description,data inference,and the search for relationships in data 
C) Decision making includes optimization techniques for problems with no uncertainty,decision analysis for problems with uncertainty,and structured sensitivity analysis. 
D) Dealing with uncertainty includes measuring uncertainty and modeling uncertainty explicitly into the analysis. 
E) All of these options

Question 2

Which of the following is not one of the types of models described in Data Analysis & Decision Making book?

Accepted Answer

A) Algebraic model 
B) Spreadsheet model 
C) Scale model 
D) Graphical model 
A) Algebraic model 
B) Spreadsheet model 
C) Scale model 
D) Graphical model

Question 3

Decision-making includes optimization techniques for problems with certainty,decision analysis for problems with certainty,and structured sensitivity analysis.

Accepted Answer

A) True 
 B)False

Question 4

The decision making process includes

Accepted Answer

A) optimization techniques for problems with no uncertainty 
B) decision analysis for problems with uncertainty 
C) sensitivity analysis 
D) All of the above 
A) optimization techniques for problems with no uncertainty 
B) decision analysis for problems with uncertainty 
C) sensitivity analysis 
D) All of the above

Question 5

Graphical models are probably the least intuitive and most quantitative type of model.

Accepted Answer

A) True 
 B)False

Question 6

Three important themes run through this book: data analysis,decision-making,and dealing with uncertainty.

Accepted Answer

A) True 
 B)False

Question 7

The @Risk is Excel add-in that can be used to run replications of a simulation,keep track of outputs,create useful charts,and perform sensitivity analyses.

Accepted Answer

A) True 
 B)False

Question 8

Graphical models are the least intuitive type of model.Its purpose is simply to provide enough quantitative details to enable us solve the problem of interest.

Accepted Answer

A) True 
 B)False

Question 9

Which of the following would not be included under data analysis?

Accepted Answer

A) Measuring uncertainty 
B) Data description 
C) Data inference 
D) Search for relationships 
A) Measuring uncertainty 
B) Data description 
C) Data inference 
D) Search for relationships

Question 10

Which of the following statements are false?

Accepted Answer

A) The modeling process discussed in Data Analysis & Decision Making book is five- step process 
B) Dealing with uncertainty requires a basic understanding of probability 
C) Uncertainty is a key aspect of most business problems 
D) Data description and data inference are included under data analysis 
A) The modeling process discussed in Data Analysis & Decision Making book is five- step process 
B) Dealing with uncertainty requires a basic understanding of probability 
C) Uncertainty is a key aspect of most business problems 
D) Data description and data inference are included under data analysis

Which of the following statements are true?

Which of the following is not one of the types of models described in Data Analysis & Decision Making book?

Decision-making includes optimization techniques for problems with certainty,decision analysis for problems with certainty,and structured sensitivity analysis.

The decision making process includes

Graphical models are probably the least intuitive and most quantitative type of model.

Three important themes run through this book: data analysis,decision-making,and dealing with uncertainty.

The @Risk is Excel add-in that can be used to run replications of a simulation,keep track of outputs,create useful charts,and perform sensitivity analyses.

Graphical models are the least intuitive type of model.Its purpose is simply to provide enough quantitative details to enable us solve the problem of interest.

Which of the following would not be included under data analysis?

Which of the following statements are false?

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, binomial, poisson, and Exponential Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Modeling: Applications

Introduction to Simulation Modeling

Simulation Models

Filters

Exam 1: Introduction to Data Analysis and Decision Making

Which of the following statements are true?

Which of the following is not one of the types of models described in Data Analysis & Decision Making book?

Decision-making includes optimization techniques for problems with certainty,decision analysis for problems with certainty,and structured sensitivity analysis.

The decision making process includes

Graphical models are probably the least intuitive and most quantitative type of model.

Three important themes run through this book: data analysis,decision-making,and dealing with uncertainty.

The @Risk is Excel add-in that can be used to run replications of a simulation,keep track of outputs,create useful charts,and perform sensitivity analyses.

Graphical models are the least intuitive type of model.Its purpose is simply to provide enough quantitative details to enable us solve the problem of interest.

Which of the following would not be included under data analysis?

Which of the following statements are false?

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, binomial, poisson, and Exponential Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Modeling: Applications

Introduction to Simulation Modeling

Simulation Models

Filters