Exam 1: Introduction to Business Analytics
Exam 1: Introduction to Business Analytics24 Questions
Exam 2: Describing the Distribution of a Variable73 Questions
Exam 3: Finding Relationships Among Variables56 Questions
Exam 4: Business Intelligence Bifor Data Analysis62 Questions
Exam 5: Probability and Probability Distributions132 Questions
Exam 6: Decision Making Under Uncertainty79 Questions
Exam 7: Sampling and Sampling Distributions78 Questions
Exam 8: Confidence Interval Estimation60 Questions
Exam 9: Hypothesis Testing70 Questions
Exam 10: Regression Analysis: Estimating Relationships80 Questions
Exam 11: Regression Analysis: Statistical Inference69 Questions
Exam 12: Time Series Analysis and Forecasting95 Questions
Exam 13: Introduction to Optimization Modeling70 Questions
Exam 14: Optimization Models87 Questions
Exam 15: Introduction to Simulation Modeling58 Questions
Exam 16: Simulation Models59 Questions
Exam 17: Data Mining30 Questions
Exam 18: Analysis of Variance and Experimental Design24 Questions
Exam 19: Statistical Process Control24 Questions
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A few ways to enhance the readability of a spreadsheet model is to use a clear,logical layout of the overall model,and to use clear headings for different sections of the model and for all inputs,decision variables,and outputs.
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True
When we use simulation models to help make decisions,we do not deal with uncertainty,because we can carry out calculations and avoid performing inferences.
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False
Spreadsheet modeling is the process of entering the outputs into a spreadsheet and then relating them appropriately,by means of formulas,to obtain the decision variables.
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False
The authors of the Business Analytics: Data Analysis & Decision Making text use spreadsheet modeling,particularly Excel spreadsheets,where the essential elements are entered for further analysis.
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Excel's IF function can be used to determine if an expression is true or false.
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The decision-making themes covered in Business Analytics: Data Analysis & Decision Making include which of the following?
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Spreadsheet models typically involve inputs,decision variables,and outputs.
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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.
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Decision making includes optimization techniques for problems with certainty,decision analysis for problems with certainty,and structured sensitivity analysis.
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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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Which of the following would not be included under data analysis?
(Multiple Choice)
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Although it is relatively easy to collect data,it can be more challenging to understand what the data mean.
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A relatively new aspect of business analytics is big data,which typically implies the analysis of the very large data sets that companies currently encounter.
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Data analysis includes data description,data visualization,data inference,and the search for relationships in data.
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Which of the following is not one of the "intermediate" features of Excel that the authors expect you to be able to use?
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