Exam 3: Nature of Data, Statistical Modeling, and Visualization
Exam 1: Overview of Business Intelligence, Analytics, Data Science, and Artificial Intelligence: Systems for Decision Support21 Questions
Exam 2: Artificial Intelligence Concepts, Drivers, Major Technologies, and Business Applications53 Questions
Exam 3: Nature of Data, Statistical Modeling, and Visualization33 Questions
Exam 4: Data Mining Process, Methods, and Algorithms15 Questions
Exam 5: Machine-Learning Techniques for Predictive Analytics30 Questions
Exam 6: Deep Learning and Cognitive Computing56 Questions
Exam 7: Text Mining, Sentiment Analysis, and Social Analytics13 Questions
Exam 8: Prescriptive Analytics: Optimization and Simulation17 Questions
Exam 9: Big Data, Cloud Computing, and Location Analytics: Concepts and Tool12 Questions
Exam 10: Robotics: Industrial and Consumer Applications64 Questions
Exam 11: Group Decision Making, Collaborative Systems, and AI Support26 Questions
Exam 12: Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors54 Questions
Exam 13: The Internet of Things As a Platform for Intelligent Applications60 Questions
Exam 14: Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts61 Questions
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Which of the following is not a best practice in dashboard design?
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B
These contain codes assigned to objects or events as labels that also represent the rank order among them.
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B
This type of report may include color-coded traffic lights for different performance levels.
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B
________ is collection of mathematical techniques to characterize and interpret data.
(Short Answer)
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Some charts or graphs are better at answering certain types of questions.
(True/False)
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________ are typically enterprise-wide agreed upon targets to be tracked against over a period of time.
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What made the digital distribution of both data and visualization more accessible to a broader audience?
(Multiple Choice)
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________ data include measurement variables commonly found in the physical sciences and engineering.
(Short Answer)
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Key to any successful report are ________, brevity, completeness, and correctness.
(Short Answer)
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Reducing a data set's volume can be a portion of which data preprocessing step?
(Multiple Choice)
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This figure is often used to explore the relationship between two or three variables (in 2D or 3D visuals).
(Multiple Choice)
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This assumption in a regression analysis states that the relationship between the response variable and the explanatory variables is linear.
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________ has also single-handedly democratized both the interface conventions and the technology for displaying interactive geography online
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This assumption in a regression analysis states that the explanatory variables are not correlated.
(Multiple Choice)
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When presenting your data analysis it is often helpful to view your analysis as a data rich ________.
(Short Answer)
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List and briefly define the central tendency measures of descriptive statistics.
(Essay)
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Data visualization is closely related to the fields of DW management and MIS application development.
(True/False)
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To satisfy this requirement, this data is recorded at or near the time of the event or observation so that the time delay-related misrepresentation is minimized.
(Multiple Choice)
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