, TESTBANK FOR Introduction to Data Mining and Analytics First Edition
Jamsa
Important Notes
The file includes the complete test bank, organized chapter by chapter.
A sample of selected pages has been provided for preview.
All available appendices and Excel files (if included in the original resources) are
provided.
Quizzes, Midterm and final exams are included (if available in the original resources).
We continuously update our files to ensure you receive the latest and most accurate
editions.
New editions are added regularly – stay connected for updates!
⚠️Note on Answer Keys: If the answer key is not included within the chapter
questions, you will find the complete answers and solutions at the end of each
chapter.
✅ Why Buy From Us?
📚 Complete & organized chapter-by-chapter – no missing content, no guessing.
⚡ Instant digital delivery – get your file the moment you pay, no waiting.
📅 Always up to date – we track new editions so you always get the latest version.
💬 Friendly support – real humans ready to help, anytime you need us.
🔒 Safe & secure – thousands of satisfied students trust us every semester.
🛡️Our Guarantees
💰 Money-Back Guarantee: Not satisfied? We offer a full refund – no questions asked.
🔄 Wrong File? No Problem: Contact us and we will replace it immediately with the
correct version, free of charge.
⏰ 24/7 Support: We are always here – reach out anytime and expect a fast response.
,Import Settings:
Base Settings: Brownstone Default
Information Field: Complexity
Information Field: Ahead
Information Field: Subject
Information Field: Title
Highest Answer Letter: E
Multiple Keywords in Same Paragraph: No
NAS ISBN13: 9781284180923, add to Ahead, Title tags
Chapter: Chapter 01 - Test Bank
True/False
1. True or False? One of the first uses of data collection and analytics was the 1890 census.
Ans: True
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
2. True or False? There are three forms of machine learning: supervised, unsupervised, and
hybrid.
Ans: False
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
Feedback: There are only two forms of machine learning: unsupervised and supervised.
3. True or False? Programmers make extensive use of R and Python to create machine-learning
applications.
Ans: True
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
4. True or False? Data mining only applies to numeric data.
Ans: False
Complexity: Easy
Ahead: Text and Photo Data Mining
Feedback:
Subject: Chapter 1
,Title: Data Mining and Analytics
5. True or False? Hot blistering is the process of representing categorical data with numeric
values.
Ans: False
Complexity: Easy
Ahead: Data Classification
Subject: Chapter 1
Title: Data Mining and Analytics
Feedback:
Multiple Choice
1. ______ is the process of identifying patterns in data.
A) Pattern recognition
B) Data mining
C) Machine learning
D) Data analytics
Ans: B
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
2. _______ is the use of tools (data mining, machine learning, and visualization) to convert data
into actionable insights and recommendations.
A) Data analytics
B) Machine learning
C) Business intelligence
D) Data mining
Ans: C
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
3. ______ the degree to which the data values align with the company’s business rules, such as
“The company will measure and store sensor values on 1-second intervals.”
A) Consistency
B) Accuracy
C) Quality
D) Conformity
Ans: D
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
,Title: Data Mining and Analytics
4. ______ is the process of assigning data to matching groups (categories), such as a tumor
being benign or malignant, email being valid or spam, or a transaction being legitimate or
fraudulent.
A) Clustering
B) Classification
C) Association
D) Mining
Ans: B
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
5. _____ is the process of identifying key relationships between variables. One of the best-known
data-association problems is market-basket analysis, which examines items in a customer’s
shopping cart to determine if the presence of one item in the cart (called the antecedent)
influences the addition of a second item (called the consequent).
A) Machine learning
B) Classification
C) Categorization
D) Association
Ans: D
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
6. ______ is defined as the use of data pattern-recognition algorithms, which allow a program to
solve problems, such as clustering, categorization, predictive analysis, and data association
without the need for explicit step-by-step programming instructions to tell the algorithm how to
perform tasks.
A) Clustering
B) Data mining
C) Machine learning
D) Pattern recognition
Ans: C
Complexity: Easy
Ahead: Data Mining Versus Machine Learning
Subject: Chapter 1
Title: Data Mining and Analytics
7. One of the earliest data-mining and analytic tools was:
A) DataMiner.
B) Weka.
C) Modeler.
D) Excel.
,Ans: B
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
8. ____ charts represent how one or more values relate to a whole.
A) Time-based charts
B) Category charts
C) Composition charts
D) None of these is correct.
Ans: C
Complexity: Easy
Ahead: Data Visualization
Subject: Chapter 1
Title: Data Mining and Analytics
9. ____ charts represent the frequency of values within a data set.
A) Time-based charts
B) Distribution charts
C) Composition charts
D) None of these is correct.
Ans: B
Complexity: Easy
Ahead: Data Visualization
Subject: Chapter 1
Title: Data Mining and Analytics
10. Orange and Rapid Miner are examples of:
A) time-based charts.
B) programming languages.
C) visual programming environments.
D) dashboards.
Ans: C
Complexity: Easy
Ahead: Visual Programming
Subject: Chapter 1
Title: Data Mining and Analytics
11. __________ analytics try to forecast what will happen in the future.
A) Visualization
B) Descriptive
C) Predictive
D) Prescriptive
Ans: C
Complexity: Easy
Ahead: Business Intelligence
Subject: Chapter 1
,Title: Data Mining and Analytics
12. A great source for sample data sets is:
A) Goggle
B) Beagle
C) Kaggle
D) Noggle
Ans: C
Complexity: Easy
Ahead: A Word on Data Sets
Subject: Chapter 1
Title: Data Mining and Analytics
13. ______ is the processing of grouping related data-set items.
A) Factoring
B) Gathering
C) Assembling
D) Clustering
Ans: C
Complexity: Easy
Ahead: Data Clustering
Subject: Chapter 1
Title: Data Mining and Analytics
14. A ____________ is a chart for displaying cluster groupings.
A) clustergram
B) dendrogram
C) pseudogram
D) datagram
Ans: B
Complexity: Easy
Ahead: Data Clustering
Subject: Chapter 1
Title: Data Mining and Analytics
15. To determine if an email is spam, data programmers would use:
A) classification.
B) clustering.
C) grouping.
D) predicting.
Ans: A
Complexity: Moderate
Ahead: Data Classification
Subject: Chapter 1
Title: Data Mining and Analytics
,
,Multiple Response
1. Which of the following attributes are commonly used to determine data quality? (select all that
apply)
A) Accuracy
B) Completeness
C) Consistency
D) Conformity
E) Uniformity
Ans: A, B, C, D
Complexity: Moderate
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
, Import Settings:
Base Settings: Brownstone Default
Information Field: Complexity
Information Field: Ahead
Information Field: Subject
Information Field: Title
Highest Answer Letter: E
Multiple Keywords in Same Paragraph: No
NAS ISBN13: 9781284180923, add to Ahead, Title tags
Chapter: Chapter 02 - Test Bank
True/False
1. True or False? The most common machine-learning programming languages include Cluster
and R.
Ans: False
Complexity: Easyead: Introduction
Subject: Chapter 2
Title: Machine Learning
Feedback: The two most common machine-learning programming languages include Python and
R
2. True or False? Data clustering and data association use a supervised machine-learning
process.
Ans: False
Complexity: Easy
Ahead: Introduction
Subject: Chapter 2
Title: Machine Learning
Feedback: Data clustering and data association use an unsupervised machine-learning process.
3. True or False? Correlation is a measure that describes the relationship between two variables.
Ans: True
Complexity: Easy
Ahead: Introduction
Subject: Chapter 2
Title: Machine Learning
4. True or False? Machine learning dates back to 1929.
Ans: False
Complexity: Easy
Ahead: Introduction
Subject: Chapter 2
Jamsa
Important Notes
The file includes the complete test bank, organized chapter by chapter.
A sample of selected pages has been provided for preview.
All available appendices and Excel files (if included in the original resources) are
provided.
Quizzes, Midterm and final exams are included (if available in the original resources).
We continuously update our files to ensure you receive the latest and most accurate
editions.
New editions are added regularly – stay connected for updates!
⚠️Note on Answer Keys: If the answer key is not included within the chapter
questions, you will find the complete answers and solutions at the end of each
chapter.
✅ Why Buy From Us?
📚 Complete & organized chapter-by-chapter – no missing content, no guessing.
⚡ Instant digital delivery – get your file the moment you pay, no waiting.
📅 Always up to date – we track new editions so you always get the latest version.
💬 Friendly support – real humans ready to help, anytime you need us.
🔒 Safe & secure – thousands of satisfied students trust us every semester.
🛡️Our Guarantees
💰 Money-Back Guarantee: Not satisfied? We offer a full refund – no questions asked.
🔄 Wrong File? No Problem: Contact us and we will replace it immediately with the
correct version, free of charge.
⏰ 24/7 Support: We are always here – reach out anytime and expect a fast response.
,Import Settings:
Base Settings: Brownstone Default
Information Field: Complexity
Information Field: Ahead
Information Field: Subject
Information Field: Title
Highest Answer Letter: E
Multiple Keywords in Same Paragraph: No
NAS ISBN13: 9781284180923, add to Ahead, Title tags
Chapter: Chapter 01 - Test Bank
True/False
1. True or False? One of the first uses of data collection and analytics was the 1890 census.
Ans: True
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
2. True or False? There are three forms of machine learning: supervised, unsupervised, and
hybrid.
Ans: False
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
Feedback: There are only two forms of machine learning: unsupervised and supervised.
3. True or False? Programmers make extensive use of R and Python to create machine-learning
applications.
Ans: True
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
4. True or False? Data mining only applies to numeric data.
Ans: False
Complexity: Easy
Ahead: Text and Photo Data Mining
Feedback:
Subject: Chapter 1
,Title: Data Mining and Analytics
5. True or False? Hot blistering is the process of representing categorical data with numeric
values.
Ans: False
Complexity: Easy
Ahead: Data Classification
Subject: Chapter 1
Title: Data Mining and Analytics
Feedback:
Multiple Choice
1. ______ is the process of identifying patterns in data.
A) Pattern recognition
B) Data mining
C) Machine learning
D) Data analytics
Ans: B
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
2. _______ is the use of tools (data mining, machine learning, and visualization) to convert data
into actionable insights and recommendations.
A) Data analytics
B) Machine learning
C) Business intelligence
D) Data mining
Ans: C
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
3. ______ the degree to which the data values align with the company’s business rules, such as
“The company will measure and store sensor values on 1-second intervals.”
A) Consistency
B) Accuracy
C) Quality
D) Conformity
Ans: D
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
,Title: Data Mining and Analytics
4. ______ is the process of assigning data to matching groups (categories), such as a tumor
being benign or malignant, email being valid or spam, or a transaction being legitimate or
fraudulent.
A) Clustering
B) Classification
C) Association
D) Mining
Ans: B
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
5. _____ is the process of identifying key relationships between variables. One of the best-known
data-association problems is market-basket analysis, which examines items in a customer’s
shopping cart to determine if the presence of one item in the cart (called the antecedent)
influences the addition of a second item (called the consequent).
A) Machine learning
B) Classification
C) Categorization
D) Association
Ans: D
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
6. ______ is defined as the use of data pattern-recognition algorithms, which allow a program to
solve problems, such as clustering, categorization, predictive analysis, and data association
without the need for explicit step-by-step programming instructions to tell the algorithm how to
perform tasks.
A) Clustering
B) Data mining
C) Machine learning
D) Pattern recognition
Ans: C
Complexity: Easy
Ahead: Data Mining Versus Machine Learning
Subject: Chapter 1
Title: Data Mining and Analytics
7. One of the earliest data-mining and analytic tools was:
A) DataMiner.
B) Weka.
C) Modeler.
D) Excel.
,Ans: B
Complexity: Easy
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
8. ____ charts represent how one or more values relate to a whole.
A) Time-based charts
B) Category charts
C) Composition charts
D) None of these is correct.
Ans: C
Complexity: Easy
Ahead: Data Visualization
Subject: Chapter 1
Title: Data Mining and Analytics
9. ____ charts represent the frequency of values within a data set.
A) Time-based charts
B) Distribution charts
C) Composition charts
D) None of these is correct.
Ans: B
Complexity: Easy
Ahead: Data Visualization
Subject: Chapter 1
Title: Data Mining and Analytics
10. Orange and Rapid Miner are examples of:
A) time-based charts.
B) programming languages.
C) visual programming environments.
D) dashboards.
Ans: C
Complexity: Easy
Ahead: Visual Programming
Subject: Chapter 1
Title: Data Mining and Analytics
11. __________ analytics try to forecast what will happen in the future.
A) Visualization
B) Descriptive
C) Predictive
D) Prescriptive
Ans: C
Complexity: Easy
Ahead: Business Intelligence
Subject: Chapter 1
,Title: Data Mining and Analytics
12. A great source for sample data sets is:
A) Goggle
B) Beagle
C) Kaggle
D) Noggle
Ans: C
Complexity: Easy
Ahead: A Word on Data Sets
Subject: Chapter 1
Title: Data Mining and Analytics
13. ______ is the processing of grouping related data-set items.
A) Factoring
B) Gathering
C) Assembling
D) Clustering
Ans: C
Complexity: Easy
Ahead: Data Clustering
Subject: Chapter 1
Title: Data Mining and Analytics
14. A ____________ is a chart for displaying cluster groupings.
A) clustergram
B) dendrogram
C) pseudogram
D) datagram
Ans: B
Complexity: Easy
Ahead: Data Clustering
Subject: Chapter 1
Title: Data Mining and Analytics
15. To determine if an email is spam, data programmers would use:
A) classification.
B) clustering.
C) grouping.
D) predicting.
Ans: A
Complexity: Moderate
Ahead: Data Classification
Subject: Chapter 1
Title: Data Mining and Analytics
,
,Multiple Response
1. Which of the following attributes are commonly used to determine data quality? (select all that
apply)
A) Accuracy
B) Completeness
C) Consistency
D) Conformity
E) Uniformity
Ans: A, B, C, D
Complexity: Moderate
Ahead: Introduction
Subject: Chapter 1
Title: Data Mining and Analytics
, Import Settings:
Base Settings: Brownstone Default
Information Field: Complexity
Information Field: Ahead
Information Field: Subject
Information Field: Title
Highest Answer Letter: E
Multiple Keywords in Same Paragraph: No
NAS ISBN13: 9781284180923, add to Ahead, Title tags
Chapter: Chapter 02 - Test Bank
True/False
1. True or False? The most common machine-learning programming languages include Cluster
and R.
Ans: False
Complexity: Easyead: Introduction
Subject: Chapter 2
Title: Machine Learning
Feedback: The two most common machine-learning programming languages include Python and
R
2. True or False? Data clustering and data association use a supervised machine-learning
process.
Ans: False
Complexity: Easy
Ahead: Introduction
Subject: Chapter 2
Title: Machine Learning
Feedback: Data clustering and data association use an unsupervised machine-learning process.
3. True or False? Correlation is a measure that describes the relationship between two variables.
Ans: True
Complexity: Easy
Ahead: Introduction
Subject: Chapter 2
Title: Machine Learning
4. True or False? Machine learning dates back to 1929.
Ans: False
Complexity: Easy
Ahead: Introduction
Subject: Chapter 2
