Business Analytics
2nd Edition
ST
UV
TEST BANK
IA
_A
PP
Sanjiv Jaggia
RO
Comprehensive Test Bank for Instructors
VE
and Students
D?
© Sanjiv Jaggia. All rights reserved. Reproduction or distribution without permission is
prohibited.
?
©MEDGEEK
, TABLE OF CONTENTS
Test Bank — Business Analytics (2nd Edition)
By Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara & Leida Chen — ISBN
9781264302802
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
IA
Chapter 8: More Topics in Regression Analysis
Chapter 9: Logistic Regression
Chapter 10: Forecasting with Time Series Data
Chapter 11: Introduction to Data Mining
_A
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
PP
Chapter 16: Risk Analysis and Simulation
Chapter 17: Optimization: Linear Programming
Chapter 18: More Applications in Optimization
RO
VE
D?
?
©MEDGEEK
, Student name:__________
1) The ability to use qualitative reasoning with quantitative tools allows management to make
decisions to improve business performance.
⊚ true
ST
⊚ false
2) The use of historical information to predict what could happen in the future describes
UV
prescriptive analytics.
⊚ true
⊚ false
IA
3) Data are the compilation of facts, figures, or other contents, both numerical and non-
numerical.
⊚ true
_A
⊚ false
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.
PP
⊚ true
⊚ false
RO
5) Collecting height data annually on the sample set of participants is an example of time series
data.
⊚ true
⊚ false
VE
6) Structured and unstructured data are only machine generated.
⊚ true
⊚ false
D?
?
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.
⊚ true
UV
⊚ false
9) When coding in HTML, <table> is a tag used to provide structure for textual data.
⊚ true
IA
⊚ false
_A
10) In XML, tags are not case-sensitive and are interchangeable. For example, <City>and
<city>represent the same pieces of information.
⊚ true
⊚ false
PP
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.
⊚ true
RO
⊚ false
12) Social media data, such as Twitter, Facebook, and TicTok are examples of structured data.
⊚ true
VE
⊚ false
13) The characteristics marital status and income are examples of observations.
D?
⊚ true
⊚ false
?
Version 1 2
2nd Edition
ST
UV
TEST BANK
IA
_A
PP
Sanjiv Jaggia
RO
Comprehensive Test Bank for Instructors
VE
and Students
D?
© Sanjiv Jaggia. All rights reserved. Reproduction or distribution without permission is
prohibited.
?
©MEDGEEK
, TABLE OF CONTENTS
Test Bank — Business Analytics (2nd Edition)
By Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara & Leida Chen — ISBN
9781264302802
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
IA
Chapter 8: More Topics in Regression Analysis
Chapter 9: Logistic Regression
Chapter 10: Forecasting with Time Series Data
Chapter 11: Introduction to Data Mining
_A
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
PP
Chapter 16: Risk Analysis and Simulation
Chapter 17: Optimization: Linear Programming
Chapter 18: More Applications in Optimization
RO
VE
D?
?
©MEDGEEK
, Student name:__________
1) The ability to use qualitative reasoning with quantitative tools allows management to make
decisions to improve business performance.
⊚ true
ST
⊚ false
2) The use of historical information to predict what could happen in the future describes
UV
prescriptive analytics.
⊚ true
⊚ false
IA
3) Data are the compilation of facts, figures, or other contents, both numerical and non-
numerical.
⊚ true
_A
⊚ false
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.
PP
⊚ true
⊚ false
RO
5) Collecting height data annually on the sample set of participants is an example of time series
data.
⊚ true
⊚ false
VE
6) Structured and unstructured data are only machine generated.
⊚ true
⊚ false
D?
?
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.
⊚ true
UV
⊚ false
9) When coding in HTML, <table> is a tag used to provide structure for textual data.
⊚ true
IA
⊚ false
_A
10) In XML, tags are not case-sensitive and are interchangeable. For example, <City>and
<city>represent the same pieces of information.
⊚ true
⊚ false
PP
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.
⊚ true
RO
⊚ false
12) Social media data, such as Twitter, Facebook, and TicTok are examples of structured data.
⊚ true
VE
⊚ false
13) The characteristics marital status and income are examples of observations.
D?
⊚ true
⊚ false
?
Version 1 2
