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Test Bank — Introduction to Data Analytics for Accounting, 2nd Edition — Vernon Richardson, Katie Terrell & Ryan Teeter

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The Test Bank for Introduction to Data Analytics for Accounting, 2nd Edition by Vernon Richardson, Katie Terrell, and Ryan Teeter offers a full suite of instructor‑verified assessment items mapped to the textbook’s structure and learning goals. This resource includes multiple choice, true/false, short-answer, and applied analytics questions for every chapter. Each question aligns with key learning objectives and Bloom’s taxonomy levels, ensuring coverage of conceptual understanding, analytic skills, and accounting data applications. The Test Bank supports quiz, midterm, and final exam construction while maintaining consistency with the official McGraw‑Hill edition’s pedagogy and layout. All chapters are fully represented, starting with Chapter 1: Ask the Question: Using Data Analytics to Address Accounting Questions and Chapter 2: Master the Data: An Introduction to Accounting Data. Chapter 3: Master the Data: Data Types Used in Accounting and Chapter 4: Master the Data: Preparing Data for Analysis explore data structure and preparation. Chapter 5: Perform the Analysis: Types of Data Analytics introduces analytics categories, followed by deeper dives into Chapter 6: Descriptive Analytics, Chapter 7: Diagnostic Analytics, Chapter 8: Predictive Analytics, and Chapter 9: Prescriptive Analytics. Chapter 10: Share the Story emphasizes data communication and visualization. Chapter 11: Capstone Projects Using the AMPS Model engages students in end-to-end data analytics projects. The content continues with Chapter 12: Financial Statement Analysis and concludes with Chapter 13: Managerial Accounting Analytics, ensuring coverage of both financial and managerial applications.

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Introduction To Data Analytics For Accounting
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Introduction to Data Analytics for Accounting











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Institution
Introduction to Data Analytics for Accounting
Course
Introduction to Data Analytics for Accounting

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Uploaded on
October 14, 2025
Number of pages
174
Written in
2025/2026
Type
Exam (elaborations)
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Introduction to Data Analytics for

Accounting – 2nd Edition
ST


TEST BANK
UV
IA
?_

Vernon J. Richardson
AP

Katie L. Terrell


Ryan A. Teeter
PR

Comprehensive Test Bank for Instructors
OV

and Students
ED

© Vernon J. Richardson, Katie L. Terrell & Ryan A. Teeter

All rights reserved. Reproduction or distribution without permission is prohibited.
?

Created by MedConnoisseur ©2025/2026

, TABLE OF CONTENTS
Introduction to Data Analytics for
ST

Accounting – 2nd Edition
Vernon J. Richardson, Katie L. Terrell & Ryan A. Teeter
UV

1. Ask the Question: Using Data Analytics to Address Accounting
Questions
IA
2. Master the Data: An Introduction to Accounting Data
3. Master the Data: Data Types Used in Accounting
4. Master the Data: Preparing Data for Analysis
?_
5. Perform the Analysis: Types of Data Analytics
6. Perform the Analysis: Descriptive Analytics
7. Perform the Analysis: Diagnostic Analytics
8. Perform the Analysis: Predictive Analytics
AP

9. Perform the Analysis: Prescriptive Analytics
10.Share the Story
11.Capstone Projects Using the AMPS Model
12.Financial Statement Analysis
PR
13.Managerial Accounting Analytics
OV
ED
?

Created by MedConnoisseur ©2025/2026

, Test Bank Introduction to Data Analytics for Accounting, 2nd Edition Richardson



Chap 01 2e Answers Included ✅
1) "Create" is the highest skill in Bloom's Taxonomy.
⊚ true
ST
⊚ false



2) "Understand" is the lowest skill in Bloom's Taxonomy.
UV
⊚ true
⊚ false



3) "Remember" is a higher skill than "Understand" in Bloom's Taxonomy.
IA
⊚ true
⊚ false
?_
4) "Ask the Right Question" is one of the desired skills for accounting professionals, consistent
with EY's "The Analytics Mindset".
⊚ true
⊚ false
AP
5) "Communicate results with management" is one of the desired skills for accounting
professionals, consistent with EY's "The Analytics Mindset".
⊚ true
PR
⊚ false



6) "Extract, Transform and Load Relevant Data" is one of the desired skills for accounting
OV
professionals, consistent with EY's "The Analytics Mindset".
⊚ true
⊚ false
ED
?

1

, 7) Of the options listed below, which is the lowest level of thinking skills in Bloom's
Taxonomy?
A) Create
ST
B) Understand
C) Apply
D) Analyze
UV
8) Of the options listed below, which is the highest level of thinking skills in Bloom's
Taxonomy?
A) Evaluate
B) Apply
IA
C) Analyze
D) Understand
?_
9) Which is the appropriate ordering of thinking skills in Bloom's Taxonomy, where the ">"
symbol means higher order skills?
A) Evaluate > Apply
B) Remember > Understand
AP
C) Apply > Analyze
D) Analyze > Evaluate



10) Which component of the AMPS model would usually involve creating a pivottable?
PR
A) Ask the Question
B) Master the Data
C) Perform the Analysis
D) Share the Story
OV
11) Which component of the AMPS model most appropriately addresses the skill mentioned by
EY's analytics mindset of "extract, transform and load relevant data"?
A) Ask the Question
B) Master the Data
ED
C) Perform the Analysis
D) Share the Story
?

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