TEST BANK
Business Analytics
Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, and Leida Chen
ST
2nd Edition
UV
IA
?_
AP
PR
OV
ED
? ?
, TABLE OF CONTENTS
Business Analytics (2nd Edition)
Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, and Leida Chen
ST
Chapter 1 Introduction to Business Analytics
Chapter 2 Data Management and Wrangling
UV
Chapter 3 Summary Measures
Chapter 4 Data Visualization
Chapter 5 Probability and Probability Distributions
IA
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
AP
Chapter 11 Introduction to Data Mining
Chapter 12 Supervised Data Mining: k-Nearest Neighbors and Naive Bayes
PR
Chapter 13 Supervised Data Mining: Decision Trees
Chapter 14 Unsupervised Data Mining
Chapter 15 Spreadsheet Modeling
OV
Chapter 16 Risk Analysis and Simulation
Chapter 17 Optimization: Linear Programming
Chapter 18 More Applications in Optimization
ED
??
, Chapter 01: Introduction to Business Analytics
Student name:__________
1) The ability to use qualitative reasoning with quantitative tools allows management to make
decisions to improve business performance.
⊚ true
⊚ false
ST
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
?_
⊚ 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.
OV
⊚ true
⊚ false
6) Structured and unstructured data are only machine generated.
ED
⊚ true
⊚ 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.
⊚ true
⊚ false
UV
9) When coding in HTML, <table> is a tag used to provide structure for textual data.
⊚ true
IA
⊚ false
?_
10) In XML, tags are not case-sensitive and are interchangeable. For example, <City>and
<city>represent the same pieces of information.
⊚ true
⊚ false
AP
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
Business Analytics
Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, and Leida Chen
ST
2nd Edition
UV
IA
?_
AP
PR
OV
ED
? ?
, TABLE OF CONTENTS
Business Analytics (2nd Edition)
Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, and Leida Chen
ST
Chapter 1 Introduction to Business Analytics
Chapter 2 Data Management and Wrangling
UV
Chapter 3 Summary Measures
Chapter 4 Data Visualization
Chapter 5 Probability and Probability Distributions
IA
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
AP
Chapter 11 Introduction to Data Mining
Chapter 12 Supervised Data Mining: k-Nearest Neighbors and Naive Bayes
PR
Chapter 13 Supervised Data Mining: Decision Trees
Chapter 14 Unsupervised Data Mining
Chapter 15 Spreadsheet Modeling
OV
Chapter 16 Risk Analysis and Simulation
Chapter 17 Optimization: Linear Programming
Chapter 18 More Applications in Optimization
ED
??
, Chapter 01: Introduction to Business Analytics
Student name:__________
1) The ability to use qualitative reasoning with quantitative tools allows management to make
decisions to improve business performance.
⊚ true
⊚ false
ST
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
?_
⊚ 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.
OV
⊚ true
⊚ false
6) Structured and unstructured data are only machine generated.
ED
⊚ true
⊚ 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.
⊚ true
⊚ false
UV
9) When coding in HTML, <table> is a tag used to provide structure for textual data.
⊚ true
IA
⊚ false
?_
10) In XML, tags are not case-sensitive and are interchangeable. For example, <City>and
<city>represent the same pieces of information.
⊚ true
⊚ false
AP
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
