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 Variable66 Questions
Exam 3: Finding Relationships Among Variables46 Questions
Exam 4: Probability and Probability Distributions56 Questions
Exam 5: Normal, Binomial, Poisson, and Exponential Distributions56 Questions
Exam 6: Decision Making Under Uncertainty54 Questions
Exam 7: Sampling and Sampling Distributions77 Questions
Exam 8: Confidence Interval Estimation53 Questions
Exam 9: Hypothesis Testing63 Questions
Exam 10: Regression Analysis: Estimating Relationships79 Questions
Exam 11: Regression Analysis: Statistical Inference69 Questions
Exam 12: Time Series Analysis and Forecasting75 Questions
Exam 13: Introduction to Optimization Modeling70 Questions
Exam 14: Optimization Models63 Questions
Exam 15: Introduction to Simulation Modeling64 Questions
Exam 16: Simulation Models56 Questions
Exam 17: Data Mining18 Questions
Exam 18: Importing Data Into Excel18 Questions
Exam 19: Analysis of Variance and Experimental Design19 Questions
Exam 20: Statistical Process Control19 Questions
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The authors of the Data Analysis & Decision Making book described three types of models: graphical models,algebraic models,and spreadsheet models.
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The @Risk is an Excel add-in that can be used to run replications of a simulation,keep track of outputs,create useful charts,and perform sensitivity analyses.
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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.
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An alternative to algebraic modeling is spreadsheet modeling.Instead of relating various quantities with algebraic equations and inequalities,they are related in a spreadsheet with cell formulas.
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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.
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Graphical models are probably the least intuitive and most quantitative type of model.
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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,develop a model,verify the model,select one or more suitable decisions,present the results to the organization,and implement the model and update it over time.
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Three important themes run through this book: data analysis,decision making,and dealing with uncertainty.
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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.
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Which of the following is an Excel add-in for performing what-if analyses?
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The decision-making concepts covered in Data Analysis & Decision Making book include which of the following?
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Which of the following is not one of the steps in the modeling process?
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Which of the following would not be included under data analysis?
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Which of the following is not one of the types of models described in Data Analysis & Decision Making book?
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