Data Visualization: Exploring and Explaining with Data – full test bank – 2nd Edition, Jeffrey D. Camm – Chapters 1–9 – verified exam questions

TEST BANK
Data Visualization: Exploring and Explaining with
Data, 2nd Edition
By Jeffrey D. Camm
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,TABLE OF CONTENT

Chapter 1. Introduction



Chapter 2. Selecting a Chart Type
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Chapter 3. Data Visualization and Design



Chapter 4. Purposeful Use of Color
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Chapter 5. Visualizing Variability
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Chapter 6. Exploring Data Visually



Chapter 7. Explaining Visually to Influence with Data
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Chapter 8. Data Dashboards
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Chapter 9. Telling the Truth with Data Visualization
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Chapter 1 Introduction
Multiple Choice

1. The graphical representation of data and information using displays such as charts, graphs, and maps is known as data
_____.
a. visualization
b. mining
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c. analytics
d. science
ANSWER: a

2. The set of analytical tools that describe what has happened and includes techniques such as data queries, reports,
descriptive or summary statistics, and data visualization is _____.
a. descriptive analytics
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b. predictive analytics
c. prescriptive analytics
d. diagnostic analytics
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ANSWER: a

3. What field of analytics consists of techniques that use mathematical models constructed from past data to predict future
events or better understand the relationships between variables?
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a. Descriptive analytics
b. Predictive analytics
c. Prescriptive analytics
d. Restorative analytics
ANSWER: b
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4. Mathematical or logical models that suggest a decision or course of action and include mathematical optimization
models, decision analysis, and heuristic or rule-based systems are used in the field of _____.
a. descriptive analytics
b. predictive analytics
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c. prescriptive analytics
d. restorative analytics
ANSWER: c
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5. The scientific process of transforming data into insights for making better decisions is _____.
a. analytics
b. visualization
c. surveying
d. sampling
ANSWER: a

6. Descriptive analytics is the set of analytical tools that describe __________.
a. what has happened
b. what may happen
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Chapter 1 Introduction

c. a course of action to take
d. future trends
ANSWER: a

7. Predictive analytics consists of techniques that use mathematical models constructed from past data to predict future
events or __________.
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a. describe what has happened in the past
b. better understand the relationships between variables
c. determine a course of action for the future
d. suggest a decision
ANSWER: b
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8. Prescriptive analytics are mathematical or logical models that __________.
a. describe the past
b. predict the future
c. suggest a decision or course of action
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d. describe a relationship between two variables
ANSWER: c
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9. Data for which numerical values are used to indicate magnitude, such as how many or how much, are referred to as:
a. quantitative
b. qualitative
c. categorical
d. ordinal
ANSWER: a
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10. What type of data is that for which categories of like items are identified by labels or names?
a. Quantitative
b. Numerical
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c. Categorical
d. Arithmetic
ANSWER: c
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11. Which of the following arithmetic operations can be performed on categorical data?
a. Addition
b. Subtraction
c. Multiplication
d. None of these choices
ANSWER: d

12. If we collect data on the number of wins each team in the NFL had during the 2023–2024 season, we have
__________ data.
a. cross-sectional

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