Business Analytics 2nd Edition Jaggia Test Bank
Test Bank for Business Analytics 2nd Edition By Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen, ISBN10: 1264302800, ISBN13: 9781264302802
Table of Contents
Chapter 1: Introduction to Business Analytics
Chapter 2: Data Management and Wrangling
Chapter 3: Summary Measures
Chapter 4: Data Visualization
Chapter 5: Probability and Probability Distributions
Chapter 6: Statistical Inference
Chapter 7: Regression Analysis
Chapter 8: More Topics in Regression Analysis
Chapter 9: Logistic Regression
Chapter 10: Forecasting with Time Series Data
Chapter 11: Introduction to Data Mining
Chapter 12: Supervised Data Mining: k-Nearest Neighbors and Naive Bayes
Chapter 13: Supervised Data Mining: Decision Trees
Chapter 14: Unsupervised Data Mining
Chapter 15: Spreadsheet Modeling
Chapter 16: Risk Analysis and Simulation
Chapter 17: Optimization: Linear Programming
Chapter 18: More Applications in Optimization
1) The ability to use qualitative reasoning with quantitative tools allows management to make decisions to improve business performance.
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2) The use of historical information to predict what could happen in the future describes prescriptive analytics.
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3) Data are the compilation of facts, figures, or other contents, both numerical and non-numerical.
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4) Generally speaking, it is not feasible to obtain complete population data due to expense and near impossibility to examine every member of the population.
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5) Collecting height data annually on the sample set of participants is an example of time series data.
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6) Structured and unstructured data are only machine generated.
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7) Numerical variables are either discrete or continuous.
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8) When each piece of data in a file is separated by a comma, it is called delimiter and the file is called a comma-spliced file.
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9) When coding in HTML, <table> is a tag used to provide structure for textual data.
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10) In XML, tags are not case-sensitive and are interchangeable. For example, <City>and <city>represent the same pieces of information.
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11) Sally created a table that summarizes the dollar amount of last year’s sales for each store. This is an example of descriptive analytics.
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12) Social media data, such as Twitter, Facebook, and TicTok are examples of structured data.
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13) The characteristics marital status and income are examples of observations.
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14) Which of the following broad categories is not a type of analytic technique?
A) manipulative analytics
B) descriptive analytics
C) predictive analytics
D) prescriptive analytics
15) The people of Appleton, WI represent the __________, whereas we analyze the education level of a subset or __________ to make inferences about the population.
A) information; cross-section
B) population; information
C) items; sample
D) population; sample