TEST BANK
Business Analytics 2nd Edition
By Sanjiv Jaggia, Alison Kelly,
N
U
R
SE
D
O
C
S
,TABLE OF CONTENT
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
N
Chapter 7: Regression Analysis
U
Chapter 8: More Topics in Regression Analysis
Chapter 9: Logistic Regression
R
Chapter 10: Forecasting with Time Series Data
Chapter 11: Introduction to Data Mining
SE
Chapter 12: Supervised Data Mining: k-Nearest Neighbors and Naive Bayes
Chapter 13: Supervised Data Mining: Decision Trees
D
Chapter 14: Unsupervised Data Mining
Chapter 15: Spreadsheet Modeling
O
Chapter 16: Risk Analysis and Simulation
Chapter 17: Optimization: Linear Programming
C
Chapter 18: More Applications in Optimization
S
Appendix A: Big Data Sets: Variable Description and Data Dictionary
Appendix B: Getting Started with Excel and Excel Add-Ins
Appendix C: Getting Started with R
Appendix D: Answers to Selected Exercises
,Student name:__________
The ability to use qualitative reasoning with quantitative tools allows management to make
decisions to improve business performance.
true
false
N
The use of historical information to predict what could happen in the future describes
prescriptive analytics.
U
true
false
R
Data are the compilation of facts, figures, or other contents, both numerical and non-numerical.
SE
true
false
D
Generally speaking, it is not feasible to obtain complete population data due to expense and near
impossibility to examine every member of the population.
O
true
false
C
Collecting height data annually on the sample set of participants is an example of time series
S
data.
true
false
Version 1 1
, Structured and unstructured data are only machine generated.
true
false
Numerical variables are either discrete or continuous.
true
N
false
U
When each piece of data in a file is separated by a comma, it is called delimiter and the file is
R
called a comma-spliced file.
true
SE
false
When coding in HTML, <table> is a tag used to provide structure for textual data.
D
true
false
O
In XML, tags are not case-sensitive and are interchangeable. For example, <City>and
C
<city>represent the same pieces of information.
true
S
false
Sally created a table that summarizes the dollar amount of last year’s sales for each store. This is
an example of descriptive analytics.
true
Version 1 2
Business Analytics 2nd Edition
By Sanjiv Jaggia, Alison Kelly,
N
U
R
SE
D
O
C
S
,TABLE OF CONTENT
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
N
Chapter 7: Regression Analysis
U
Chapter 8: More Topics in Regression Analysis
Chapter 9: Logistic Regression
R
Chapter 10: Forecasting with Time Series Data
Chapter 11: Introduction to Data Mining
SE
Chapter 12: Supervised Data Mining: k-Nearest Neighbors and Naive Bayes
Chapter 13: Supervised Data Mining: Decision Trees
D
Chapter 14: Unsupervised Data Mining
Chapter 15: Spreadsheet Modeling
O
Chapter 16: Risk Analysis and Simulation
Chapter 17: Optimization: Linear Programming
C
Chapter 18: More Applications in Optimization
S
Appendix A: Big Data Sets: Variable Description and Data Dictionary
Appendix B: Getting Started with Excel and Excel Add-Ins
Appendix C: Getting Started with R
Appendix D: Answers to Selected Exercises
,Student name:__________
The ability to use qualitative reasoning with quantitative tools allows management to make
decisions to improve business performance.
true
false
N
The use of historical information to predict what could happen in the future describes
prescriptive analytics.
U
true
false
R
Data are the compilation of facts, figures, or other contents, both numerical and non-numerical.
SE
true
false
D
Generally speaking, it is not feasible to obtain complete population data due to expense and near
impossibility to examine every member of the population.
O
true
false
C
Collecting height data annually on the sample set of participants is an example of time series
S
data.
true
false
Version 1 1
, Structured and unstructured data are only machine generated.
true
false
Numerical variables are either discrete or continuous.
true
N
false
U
When each piece of data in a file is separated by a comma, it is called delimiter and the file is
R
called a comma-spliced file.
true
SE
false
When coding in HTML, <table> is a tag used to provide structure for textual data.
D
true
false
O
In XML, tags are not case-sensitive and are interchangeable. For example, <City>and
C
<city>represent the same pieces of information.
true
S
false
Sally created a table that summarizes the dollar amount of last year’s sales for each store. This is
an example of descriptive analytics.
true
Version 1 2
