Business Analytics
2nd Edition
ST
UV
TEST BANK
IA
?_
Sanjiv Jaggia
AP
PR
Comprehensive Test Bank for Instructors
OV
and Students
ED
© Sanjiv Jaggia. All rights reserved. Reproduction or distribution without permission is
prohibited.
??
©DREAMSHUB
, Test Bank for Business Analytics (2nd Edition)
ISBN: 9781264302802
Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen
ST
Chapter 1: Introduction to Business Analytics
Chapter 2: Data Management and Wrangling
Chapter 3: Summary Measures
UV
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
IA
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
AP
Chapter 16: Risk Analysis and Simulation
Chapter 17: Optimization: Linear Programming
Chapter 18: More Applications in Optimization
PR
OV
ED
??
©DREAMSHUB
, Student name:__________
1) The ability to use qualitative reasoning with quantitative tools allows management to make
decisions to improve business performance.
ST
⊚ true
⊚ false
UV
2) The use of historical information to predict what could happen in the future describes
prescriptive analytics.
⊚ true
⊚ false
IA
3) Data are the compilation of facts, figures, or other contents, both numerical and non-
numerical.
?_
⊚ true
⊚ false
AP
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.
⊚ true
⊚ false
PR
5) Collecting height data annually on the sample set of participants is an example of time series
data.
⊚ true
OV
⊚ false
6) Structured and unstructured data are only machine generated.
⊚ true
ED
⊚ false
??
Version 1 1
, 7) Numerical variables are either discrete or continuous.
⊚ true
⊚ false
ST
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.
UV
⊚ true
⊚ false
9) When coding in HTML, <table> is a tag used to provide structure for textual data.
IA
⊚ true
⊚ false
?_
10) In XML, tags are not case-sensitive and are interchangeable. For example, <City>and
<city>represent the same pieces of information.
⊚ true
AP
⊚ false
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.
PR
⊚ true
⊚ false
OV
12) Social media data, such as Twitter, Facebook, and TicTok are examples of structured data.
⊚ true
⊚ false
ED
13) The characteristics marital status and income are examples of observations.
⊚ true
⊚ false
??
Version 1 2
2nd Edition
ST
UV
TEST BANK
IA
?_
Sanjiv Jaggia
AP
PR
Comprehensive Test Bank for Instructors
OV
and Students
ED
© Sanjiv Jaggia. All rights reserved. Reproduction or distribution without permission is
prohibited.
??
©DREAMSHUB
, Test Bank for Business Analytics (2nd Edition)
ISBN: 9781264302802
Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen
ST
Chapter 1: Introduction to Business Analytics
Chapter 2: Data Management and Wrangling
Chapter 3: Summary Measures
UV
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
IA
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
AP
Chapter 16: Risk Analysis and Simulation
Chapter 17: Optimization: Linear Programming
Chapter 18: More Applications in Optimization
PR
OV
ED
??
©DREAMSHUB
, Student name:__________
1) The ability to use qualitative reasoning with quantitative tools allows management to make
decisions to improve business performance.
ST
⊚ true
⊚ false
UV
2) The use of historical information to predict what could happen in the future describes
prescriptive analytics.
⊚ true
⊚ false
IA
3) Data are the compilation of facts, figures, or other contents, both numerical and non-
numerical.
?_
⊚ true
⊚ false
AP
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.
⊚ true
⊚ false
PR
5) Collecting height data annually on the sample set of participants is an example of time series
data.
⊚ true
OV
⊚ false
6) Structured and unstructured data are only machine generated.
⊚ true
ED
⊚ false
??
Version 1 1
, 7) Numerical variables are either discrete or continuous.
⊚ true
⊚ false
ST
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.
UV
⊚ true
⊚ false
9) When coding in HTML, <table> is a tag used to provide structure for textual data.
IA
⊚ true
⊚ false
?_
10) In XML, tags are not case-sensitive and are interchangeable. For example, <City>and
<city>represent the same pieces of information.
⊚ true
AP
⊚ false
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.
PR
⊚ true
⊚ false
OV
12) Social media data, such as Twitter, Facebook, and TicTok are examples of structured data.
⊚ true
⊚ false
ED
13) The characteristics marital status and income are examples of observations.
⊚ true
⊚ false
??
Version 1 2
