Exam 1: Introduction to Business Analytics
Exam 1: Introduction to Business Analytics29 Questions
Exam 2: Describing the Distribution of a Single Variable100 Questions
Exam 3: Finding Relationships Among Variables85 Questions
Exam 4: Probability and Probability Distributions114 Questions
Exam 5: Normal, Binomial, Poisson, and Exponential Distributions125 Questions
Exam 6: Decision Making Under Uncertainty107 Questions
Exam 7: Sampling and Sampling Distributions90 Questions
Exam 8: Confidence Interval Estimation84 Questions
Exam 9: Hypothesis Testing87 Questions
Exam 10: Regression Analysis: Estimating Relationships92 Questions
Exam 11: Regression Analysis: Statistical Inference82 Questions
Exam 12: Time Series Analysis and Forecasting106 Questions
Exam 13: Introduction to Optimization Modeling97 Questions
Exam 14: Optimization Models114 Questions
Exam 15: Introduction to Simulation Modeling82 Questions
Exam 16: Simulation Models102 Questions
Exam 17: Data Mining20 Questions
Exam 18: Importing Data Into Excel19 Questions
Exam 19: Analysis of Variance and Experimental Design20 Questions
Exam 20: Statistical Process Control20 Questions
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What is not one of the important themes of your Business Analytics: Data Analysis & Decision Making text?
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(Multiple Choice)
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Which is an Excel® add-in for simulation?
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Which of the following is not one of the steps in the modeling process?
(Multiple Choice)
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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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@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.
(True/False)
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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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The decision-making themes covered in Business Analytics: Data Analysis & Decision Making include which of the following?
(Multiple Choice)
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Decision-making includes optimization techniques for problems with certainty, decision analysis for problems with certainty, and structured sensitivity analysis.
(True/False)
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Three important themes run through the Business Analytics: Data Analysis & Decision Making text: data analysis, decision-making, and dealing with uncertainty.
(True/False)
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Although it is relatively easy to collect data, it can be more challenging to understand what the data mean.
(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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We must deal with uncertainty when we make inferences from data and search for relationships in data, or when we use decision trees to help make decisions.
(True/False)
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What is not one of the types of models described in your Business Analytics: Data Analysis & Decision Making text?
(Multiple Choice)
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The authors of the Business Analytics: Data Analysis & Decision Making text describe three types of models: graphical models, algebraic models, and spreadsheet models.
(True/False)
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