Exam 1: Introduction to Data Analysis and Decision Making
Exam 1: Introduction to Data Analysis and Decision Making30 Questions
Exam 2: Describing the Distribution of a Single Variable97 Questions
Exam 3: Finding Relationships Among Variables84 Questions
Exam 4: Probability and Probability Distributions113 Questions
Exam 5: Normal, binomial, poisson, and Exponential Distributions118 Questions
Exam 6: Decision Making Under Uncertainty106 Questions
Exam 7: Sampling and Sampling Distributions92 Questions
Exam 8: Confidence Interval Estimation85 Questions
Exam 9: Hypothesis Testing85 Questions
Exam 10: Regression Analysis: Estimating Relationships97 Questions
Exam 11: Regression Analysis: Statistical Inference87 Questions
Exam 12: Time Series Analysis and Forecasting104 Questions
Exam 13: Introduction to Optimization Modeling91 Questions
Exam 14: Optimization Modeling: Applications115 Questions
Exam 15: Introduction to Simulation Modeling81 Questions
Exam 16: Simulation Models104 Questions
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Which of the following is not one of the steps in the modeling process?
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A
Which of the following statements are true:
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Correct Answer:
E
Which of the following is Excel add-in for performing what-if analyses?
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Correct Answer:
B
A fairly recent alternative to algebraic modeling is spreadsheet modeling.Instead of relating various quantities with algebraic equations and inequalities,we relate them in a spreadsheet with cell formulas.
(True/False)
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Dealing with uncertainty includes measuring uncertainty and modeling uncertainty explicitly into the analysis.
(True/False)
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The modeling process discussed in Data Analysis & Decision Making book is a
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Which of the following is not one of the important themes of your Data Analysis & Decision Making book?
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The overall modeling process typically done in the business world always require seven steps: define the problem,collect and summarize data,formulate a model,verify the model,select one or more suitable decisions,present the results to the organization,and finally implement the model and update it through time.
(True/False)
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Data analysis includes data description,data inference,and the search for relationships in data.
(True/False)
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When we use simulation models to help make decisions,we do not deal with uncertainty at all,since we often must make inferences from the simulated data.
(True/False)
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Graphical models can be very helpful for simple problems.For complex problems,however,graphical models usually fail to show the important elements of a problem and how they are related.
(True/False)
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Algebraic models,by means of algebraic equations and inequalities,specify a set of relationships in a very precise way.Their main drawback is that they require an ability to work with abstract mathematical symbols.
(True/False)
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The decision-making concepts covered in Data Analysis & Decision Making book include which of the following?
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When we make inferences from data and search for relationships in data,or when we use decision trees to help make decisions,we must deal with uncertainty.
(True/False)
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The authors of Data Analysis & Decision Making book described three types of models: graphical models,algebraic models,and spreadsheet models.
(True/False)
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Data are usually meaningless until they are analyzed for trends,patterns,relationships,and other useful information.
(True/False)
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