ISSUES IN ACCOUNTING EDUCATION American Accounting Association
Vol. 35, No. 1 DOI: 10.2308/iace-52584
February 2020
pp. 13–24
The Reel Wheel: Using Analytical Procedures as Substantive
Tests of Account Balances
Jason L. Smith
University of Nevada, Las Vegas
Nathaniel M. Stephens
Utah State University
ABSTRACT: This case provides students an introductory experience to substantive analytical procedures in a
realistic audit setting. Students are presented with a scenario, adapted from a real-world example, requiring them to
(1) research relevant auditing standards, (2) develop an independent expectation for a client’s revenue account, and
(3) consider the precision of the estimate, additional audit procedures, and the reliability of the underlying data and
evidence obtained. In completing the case, students will learn to: (1) explain the benefits and challenges of using
substantive analytical procedures, (2) research relevant auditing standards, (3) create and analyze relevant
substantive analytics, (4) evaluate the appropriateness of data aggregation in substantive analytical procedures, and
(5) discuss factors affecting the reliability of data used by the auditor. The case is typically assigned as an out-of-
class assignment, combined with a subsequent in-class discussion. It can be used in either undergraduate or
graduate auditing courses.
Keywords: substantive analytical procedures; disaggregated data; data analytics.
I. CASE
C
oliseum Entertainment Corporation is one of the world’s largest hotel and gaming entertainment companies. Coliseum
is a publicly-traded company; its stock trades on the New York Stock Exchange (NYSE) under the CEC ticker
symbol. The company, which first went public in 1973, is currently experiencing financial pressure stemming from
debt obligations incurred as part of its recent acquisition of a large competitor. One of Coliseum’s strategies to increase revenue
has been to expand entertainment offerings and encourage increased traffic to its existing hotel and gaming properties. With this
strategy in mind, Coliseum constructed a new attraction, the Reel Wheel, which opened on April 1, 20X4.
The Reel Wheel
The Reel Wheel is an observation wheel located at a new outdoor mall situated between two of Coliseum’s hotel properties
on the Las Vegas Strip. The Reel Wheel is the largest observation wheel in the world, standing 550 feet tall. It has 28
observation cars, each holding up to 40 people. The cars have 225 square feet of interior space, and each weighs roughly 44,000
pounds. It takes approximately 30 minutes for the wheel to make a complete rotation.
The Reel Wheel operates daily—year-round—with observation cars departing from 11:00 a.m. to 2:00 a.m., with the
exception of four service days. Cars departing between 11:00 a.m. and 5:00 p.m. are considered ‘‘day time’’ rides; those
departing between 5:00 p.m. and 2:00 a.m. are considered ‘‘night time’’ rides. During night time operations, the wheel lights up
with more than 2,000 LED lights that bathe the wheel and its riders in a rainbow of bright and colorful lights.
We appreciate helpful comments and suggestions provided by Allen D. Blay (associate editor), Greg Bleazard, CPA, and Valaria P. Vendrzyk (editor), as
well as the anonymous journal reviewers in the development of this case. We also thank the accounting practitioners who helped in developing the case
setting and the students who have provided insights regarding their experiences with the case. Professor Smith gratefully acknowledges the financial
support of the EY Faculty Fellowship at the Lee Business School at the University of Nevada, Las Vegas, and Professor Stephens is grateful for the
support of the Jon M. Huntsman School of Business at Utah State University. All errors are our own.
Supplemental materials can be accessed by clicking the links in Appendix B.
Editor’s note: Accepted by Allen D. Blay, under the Senior Editorship of Valaria P. Vendrzyk.
Submitted: October 2018
Accepted: September 2019
Published Online: October 2019
13
Within each of the 28 observation cars, interior lighting, TV monitors, music, and sound effects entertain guests
while the wheel is in motion. Although Coliseum primarily displays its own advertising images in each of the observation
cars, it also sells advertising space to complementary businesses. The Reel Wheel also generates revenue through the sale
of food and beverages, photos, and Coliseum-themed souvenirs from a gift shop located at the base of the observation
wheel.
Because of the allure of seeing the Las Vegas Strip at night, ‘‘night time’’ rides are charged a premium. Children 12 and
under always ride free on the Reel Wheel, and Las Vegas locals receive a 40 percent discount off of regularly-priced tickets. In
order to entice more people to ride the Reel Wheel during the hottest summer months, a discounted price structure ($5.00 off
each ticket) was offered during the third quarter of 20X5 (July through September). Locals are not eligible for the summer
pricing structure, but they continue to get 40 percent off of regular ticket prices.
In addition to selling tickets to tourists and locals, the Reel Wheel also sells tickets in wholesale batches to travel agencies,
local hotels, and other tourism-related services that bundle the tickets together with vacation packages and other offerings. The
wholesale ticket prices do not vary based on time of day or season.
Coliseum’s Annual Audit
Coliseum has engaged one of the largest public accounting firms in the world to conduct the annual audit of its financial
statements. The engagement audit partner has asked you, a third-year associate with the firm, to oversee the audit of Ticket
Sales Revenue generated by the Reel Wheel during the 20X5 calendar year. Coliseum’s unaudited reported Ticket Sales
Revenue balance for the year is $73,468,219. The amount of tolerable difference (a.k.a., tolerable error) allocated to this
account is $675,000. The underlying internal controls related to ticketing revenue have been tested, and no significant
deficiencies or material weaknesses were identified.
II. CASE REQUIREMENTS
Given the nature of the Reel Wheel’s operations and ticket revenue transactions, the audit partner encourages you to use
substantive analytical procedures to develop an independent expectation of Ticket Sales Revenue and to use that estimate as
evidence in evaluating the reasonableness of Coliseum’s reported Ticket Sales Revenue for the Reel Wheel’s operations during
the year.
Part 1: Understanding the Audit Concept
After reading the case materials, please take a few minutes to search through the PCAOB’s auditing standards to identify
the one(s) governing the use of substantive analytical procedures. Refer to and cite these standard(s) as you complete the
following tasks. (The Case Requirements are available for download, see the link in Appendix B.)
1.1 After studying the relevant auditing standards, draft a brief memo to address the following issues. Be sure to cite the
appropriate paragraphs of relevant standards to justify your responses to each bulleted item.
� How and in what contexts may substantive analytical procedures be used during the course of a financial statement
audit?
� Are substantive analytical procedures allowed to be used as audit evidence?
� What specific assertions related to the Ticket Sales Revenue account balance could a substantive analytical procedure
be used to test?
� Does the Ticket Sales Revenue account include ‘‘predictable relationships’’ required to develop an independent
expectation?
� Why do you think a substantive analytical procedure might be more effective and efficient than tests of details for the
Ticket Sales Revenue account?
1.2 What do the auditing standards mean when they refer to the ‘‘precision’’ of an expectation developed with a
substantive analytical procedure? What do the standards suggest that you could do to improve the ‘‘precision’’ of your
expectation for Ticket Sales Revenue?
1.3 Does the data provided to you for the purpose of conducting the audit of the Reel Wheel’s Ticket Sales
Revenue meet the requirements regarding the reliability of underlying data? How does the source of the
information affect its reliability? Are there external sources that might be used to validate portions of the data
provided by the client?
1.4 As indicated in the standards, briefly describe the required steps for documentation of substantive analytical
procedures.
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Part 2: Performing the Audit Procedure
As part of the annual audit of Coliseum Entertainment’s 20X5 financial statements, the engagement audit partner has
encouraged you—a third-year associate auditor—to develop a substantive analytical procedure to test Coliseum’s 20X5 Ticket
Sales Revenue account for the Reel Wheel attraction.
After carefully reviewing the appropriate auditing standards, you approach the appropriate personnel at Coliseum and
request the data needed to create your data analytics. Appendix A of this case contains a copy of the requested data related to
Ticket Sales Revenue generated by the Reel Wheel during 20X5 (Appendix A is available for download, see the link in
Appendix B).
Use Excel to create analytics showing your solutions to the following three questions. Use separate tabs to show your work
in analyzing each question.
2.1 In order to better understand whether the number of Total Passengers in 20X5 (as reported by Coliseum) is reasonable,
develop a quick estimate of the maximum number of passengers possible during 20X5. In other words, how many
passengers could ride on the Reel Wheel if every passenger car was filled to capacity for the entire year? In addition to
documenting maximum capacity, show how many passengers would have experienced the Reel Wheel if it ran at 75
percent, 50 percent, and 25 percent of maximum capacity. Refer to the client data you requested, and document the
percentage of total capacity that the client’s reported number represents. Based upon your capacity calculations, does
the number of reported passengers seem reasonable?
2.2 Develop an independent estimate of Ticket Sales Revenue using just the highly aggregated data available in the case
(e.g., Total Passengers, Average Ticket Price). Evaluate this independent estimate by comparing it to the client’s
reported account balance. Determine if the reported balance is within a tolerable range (i.e., the client’s reported
amount plus or minus the tolerable error specified in the case) of your independent estimate using this aggregated data
approach.
2.3 Using all of the disaggregated data provided by the client, develop an audit work paper to calculate the most precise
estimate you can for Ticket Sales Revenue in 20X5 at the Reel Wheel. Compare this revised estimate using
disaggregated data with the client’s reported account balance and determine (1) whether or not the client’s amount
appears to be materially misstated and (2) what, if any, additional audit work is required to test the account balance.
Part 3: Reflect on the Engagement
3.1 Given your objective of using the analytical procedure to provide most of the assurance needed regarding the Ticket
Sales Revenue account for the Reel Wheel, is the estimate developed in 2.3 precise enough, or is more precision
needed? Explain.
3.2 Given that much of the data used in your analytical procedure is provided by your client, what additional audit
procedures could you supplement this substantive analytic with to provide additional corroborating evidence that these
ticket sales actually occurred?
3.3 Assuming the client’s controls are effective, how might the auditor use data analytics tools to audit the Ticket Sales
Revenue account? How would the evidence obtained using data analytics (i.e., ability to effectively analyze every
sales transaction during the year) compare with the evidence from both substantive analytical procedures and tests of
details in terms of effectiveness and efficiency? What additional insights might the auditor be able to identify using
data analytics?
3.4 Some companies use a third-party service provider to sell tickets to customers and to collect tickets upon entrance into the
venue. When performing audits of clients who use these third-party service providers, the auditor often relies upon SOC 1
reports provided by CPAs who audited the service provider’s internal controls. There are two types of SOC 1 reports:
Type I and Type II. Research the AICPA’s website and briefly explain what a SOC 1 Type II report is. Consider how your
approach to auditing the Ticket Sales Revenue account might be different if a third-party ticket provider with a SOC 1
Type II report were providing these services for the client and was therefore the source of the ticket sales data you
requested (e.g., number of passengers, ticket prices, seasonality, day time versus night time rides).
The Reel Wheel: Using Analytical Procedures as Substantive Tests of Account Balances 15
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Volume 35, Number 1, 2020
APPENDIX A
Requested Data Regarding Reel Wheel Ticket Sales
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The Reel Wheel: Using Analytical Procedures as Substantive Tests of Account Balances 17
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APPENDIX B
iace-52584_Appendix A: http://dx.doi.org/10.2308/iace-52584.s01
iace-52584_Case Requirements: http://dx.doi.org/10.2308/iace-52584.s02
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III. CASE LEARNING OBJECTIVES AND IMPLEMENTATION GUIDANCE
This audit case involves the use of substantive analytical procedures to develop an independent estimate of a client’s sales
revenue account for a particular operating activity. The case, which is based on a portion of an actual audit engagement,
involves three parts designed to help students develop an understanding of and experience developing substantive analytics.
The first part of the assignment directs students to search PCAOB auditing standards to identify those standards relating to the
use of substantive analytical procedures as they draft a memo that responds to five questions designed to help them understand
the benefits, challenges, and objectives of using analytical procedures as a substantive test of account balances. The second part
of the case requires students to develop a series of three analytics, each designed to help students think critically about factors
influencing the precision and reliability of a substantive analytic. The third and final part of the case asks students to reflect at a
high level about the use of substantive analytical procedures, given the specifics of the case.
Prior Literature
In this section we review several other cases relating to substantive analytical procedures and describe some of the
substantive differences between those cases and our own. We separate our discussion of these existing case studies into two
categories—cases published in case books by for-profit institutions, and cases published in peer-reviewed academic journals.
Cases Published in Case Books
While we do not have access to all cases published in case books, we are aware of several published cases that involve
analytical procedures. For example, Beasley, Buckless, Glover, and Prawitt (2015) offer two case studies addressing
substantive analytical procedures: (1) Northwest Bank and (2) Burlingham Bees.
Similar to the Reel Wheel case, the Northwest Bank case requires students to evaluate the results from and reliability of
two sets of analytical procedures, one using more disaggregated data than the other. Unlike the Reel Wheel case, however, the
Northwest Bank case does not require students to research relevant auditing standards or to use available data from the case
narrative to develop their own analytics prior to evaluating their results.
Burlingham Bees is a substantive analytical procedures case in which—like the Reel Wheel case—students use data
provided by the authors to develop an independent estimate of ticket revenue for a baseball team and to respond to a series of
related questions. In contrast, the Reel Wheel case requires a more extensive consideration of auditing standards, which is
required for at least seven requirements in the Reel Wheel case. While Burlingham Bees requires students to develop an
independent expectation for the account balance, the Reel Wheel case requires students to develop three separate expectations,
each with an increasing degree of precision. Finally, Part 3 of the Reel Wheel case requires students to respond to a series of
additional questions regarding precision, underlying data reliability, and the potential influence of a third-party service provider
for ticket sales.
Cases Published in Peer-Reviewed Journals
There is a relative dearth of cases in academic journals that focus on substantive analytical procedures. Although several
published cases contain requirements relating to substantive analytical procedures, most focus on other aspects of the audit
(e.g., consideration of fraud) while containing a single requirement related to analytical procedures (e.g., D’Aquila and
Capriotti 2011, Bagley and Harp 2012). In California Micro Devices by D’Aquila and Capriotti (2011), students are asked to
consider and discuss challenges of using data from prior periods in developing expectations of an account balance. In Shoe
Zoo, Inc. by Bagley and Harp (2012), students perform substantive analytical procedures for testing depreciation expense;
however, unlike the Reel Wheel case’s open-ended format that requires students to critically evaluate available data and
develop their own analytic models, Shoe Zoo, Inc. provides a detailed spreadsheet that guides students through a specific
approach to develop their estimate and to draw conclusions. Shoe Zoo, Inc. does not require students to research applicable
auditing standards, does not vary the level of data aggregation used in developing the estimate, and does not present thought
questions that overlap with those presented to students in the Reel Wheel case.
Learning Objectives
Upon completion of the Reel Wheel case, students will be able to: (1) explain the benefits and challenges of using
substantive analytical procedures, (2) research relevant auditing standards, (3) create and analyze relevant substantive analytical
procedures, (4) evaluate the appropriateness of the level of data aggregation in substantive analytical procedures, and (5)
discuss factors that affect the level of reliability of various data used by the auditor.
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In Part 1 of the case, students are directed to study the PCAOB auditing standards relating to the use of substantive
analytical procedures. This requirement is designed to help the students identify authoritative guidance and to articulate
responses related to a series of questions.
As students complete Part 1, they will develop a better understanding of the principles and professional auditing standards
governing the use of substantive analytical procedures (Learning Objective 2). They will also gain an appreciation for the
relative benefits and challenges of employing analytical procedures as part of the substantive testing process in an audit
engagement (Learning Objective 1). Although students are routinely exposed to textbook descriptions and PowerPoint slides
about auditing concepts, many are unfamiliar with actual auditing standards. By directing students to read excerpts of
prescriptive auditing standards, the case helps students become familiar with the process of consulting authoritative guidance
when planning and performing an audit.
Part 2 of the case focuses primarily on Learning Objectives 3 and 4 by helping students gain a deeper understanding of
substantive analytical procedures by working in Excel to create their own analytics. A common concern many students
express—particularly in undergraduate accounting courses—is that they aren’t exposed to enough hands-on experiences.
Requiring students to use Excel to develop and document their own analytics engages their critical thinking skills and helps
them to apply—in practice—the principles and concepts taught in auditing textbooks and professional standards. By requiring
students to develop a series of three increasingly precise analytics, the case makes salient the importance and value of
developing analytics that integrate reliable, disaggregated data.
Part 3 of the case asks students to reflect on the adequacy of the precision of the estimates they developed and to consider
how they might corroborate the evidence obtained from the analytic using other audit procedures (Learning Objectives 1, 3, and
4). In addition, students are required to research the role of SOC 1 reports and to consider how the use of a third-party service
provider might affect the audit methodology relating to the Ticket Sales Revenue account (Learning Objective 5).
Evidence of Classroom Validation
In order to evaluate the effectiveness of the Reel Wheel case in achieving the intended learning objectives, we surveyed
144 students from five sections of undergraduate accounting classes taught at two different universities.
1
The survey contained
both open-ended requests for feedback and a series of statements that students could agree or disagree with on a 9-point Likert
scale (1¼‘‘Strongly Agree,’’ 5¼‘‘Neither Agree nor Disagree,’’ and 9¼ ‘‘Strongly Disagree’’). Several of the statements related
directly to individual learning objectives.
2
With respect to the first learning objective, students indicated that—after completing the Reel Wheel case—they ‘‘have a
better understanding of the role of substantive analytical procedures in a financial statement audit’’ (Mean ¼ 2.11, t141 ¼
�26.143, p-value , 0.001) and that they ‘‘understand the costs and benefits of using substantive analytical procedures as a
substantive test’’ during an audit engagement (Mean¼2.48, t141¼�21.733, p-value , 0.001). Students’ responses also suggest
that the second learning objective was met; students largely agreed that, after completing the Reel Wheel case, they ‘‘have a
better understanding of auditing standards related to substantive analytical procedures’’ (Mean¼2.44, t140 ¼�21.782, p-value
, 0.001). Regarding the third learning objective, students indicated that ‘‘[they] feel confident in [their] ability to perform
substantive analytical procedures’’ after completing the case (Mean ¼ 3.15, t141 ¼�13.272, p-value , 0.001). Finally,
consistent with the fourth and fifth learning objectives, students overwhelmingly indicated that they ‘‘understand the value of
using reliable disaggregated data to enhance the precision of an independent estimate’’ (Mean ¼ 1.90, t141 ¼�24.335, p-value
, 0.001).
3
In addition to gathering objective data designed to test whether the learning objectives were met, we also provided open-
ended opportunities for students to leave feedback regarding their experiences with the case. As additional evidence to support
the effectiveness of the case in achieving the stated objectives, students’ responses included the following anecdotes:
1
Seventy-one students completed the case as an out-of-class assignment, while 73 students completed a hybrid approach where one or more parts were
completed in the classroom. Part 3, which was added to the case in response to reviewers’ suggestions, was only viewed by 89 of the student
respondents.
2
Each of the authors obtained Institutional Review Board (IRB) approval at his respective institution prior to surveying the students. Participation in the
survey was voluntary and anonymous. Students who participated were offered the chance to win one of several $25 gift cards, which were each awarded
following a random drawing of e-mail addresses provided after completing the feedback survey. (In order to maintain anonymity, students were
informed that their e-mail addresses were not stored or associated with their other survey responses.)
3
Each of the reported t-statistics represents a test comparing the mean student response to the mid-point of the Likert scale (i.e., Neither Agree nor
Disagree). Reported p-values are two-sided. There are no statistically-significant differences in mean responses between the two universities for
variables reported in Table 1 (i.e., all p-values . 0.10).
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� ‘‘The Reel Wheel case is probably my favorite case that we have worked on this semester. . .It was also great practice
coming up with our own ways of analyzing the data. Additionally, I thought it was extremely relevant in what we
learned in class and demonstrated how important it is to be able to think critically.’’
� ‘‘I did gain a lot of appreciation for substantive analytical procedures after seeing the results between the aggregated and
disaggregated data. Also, I think this case offered the right amount of challenge without being unworkable.’’
� ‘‘I liked that the Reel Wheel case gave a realistic look at how substantive audit procedures work. There wasn’t only one
way to complete the case and I think that accurately reflects the somewhat subjective nature of auditing and how an
auditor’s judgments can influence the way an actual audit is conducted.’’
� ‘‘I liked the freedom to try it my own way. There were multiple ways to attempt to get an average price, and then as we
got more information, see how that changed our view of the situation.’’
Student Feedback
In addition to surveying students to determine whether the learning objectives were met, we asked students whether they
agreed that the Reel Wheel case was a useful learning exercise, was interesting, and was fun to work on. We also asked them
whether they would recommend that other auditing students complete a case like the Reel Wheel case and whether they felt like
this case provided a real-world context for applying classroom principles.
Students responded using a 9-point Likert scale ranging from 1 (Strongly Agree) to 9 (Strongly Disagree), with a mid-point
of 5 (Neither Agree nor Disagree). Regardless of the approach used for implementing the case, students felt like the case was a
useful learning exercise (Mean¼1.83, t141¼�29.317, p-value , 0.001), was interesting (Mean¼2.04, t141¼�23.628, p-value
, 0.001), and was fun to work on (Mean ¼ 2.65, t141 ¼�16.118, p-value , 0.001). In addition, students overwhelmingly
recommended that other auditing students complete a similar case (Mean ¼ 1.87, t140 ¼�28.149, p-value , 0.001), and they
felt like the Reel Wheel case provided a real-world context for applying classroom principles (Mean¼1.65, t140¼�33.472, p-
value , 0.001).
4
Again, we invited students to provide feedback in open text responses, and some of their quotes provide additional
evidence regarding these characteristics of the case:
TABLE 1
Student Feedback: Learning Objectivesa
Learning
Objective Mean Median Min Max
Std.
Dev. t-statb p-value
After completing the Reel Wheel case, I have a better
understanding of the role of substantive analytical
procedures in a financial statement audit. (n ¼ 142)
1 2.11 2 1 9 1.319 �26.143 , 0.001
After completing the Reel Wheel case, I understand the
costs and benefits of using substantive analytical
procedures as a substantive test. (n ¼ 142)
1 2.48 2 1 8 1.382 �21.733 , 0.001
After completing the Reel Wheel case, I have a better
understanding of auditing standards related to
substantive analytical procedures. (n ¼ 141)
2 2.44 2 1 8 1.396 �21.782 , 0.001
After completing the Reel Wheel case, I feel confident in
my ability to perform substantive analytical procedures.
(n ¼ 142)
3 3.15 3 1 9 1.663 �13.272 , 0.001
After completing the Reel Wheel case, I understand the
value of using reliable disaggregated data to enhance
the precision of an independent estimate. (n ¼ 142)
4, 5 1.90 1 1 9 1.517 �24.335 , 0.001
a
The scale for these questions ranges from 1 (Strongly Agree) to 9 (Strongly Disagree), with a mid-point of 5 (Neither Agree nor Disagree).
b
Reported t-statistics represent a test of mean responses compared to the scale’s mid-point (Neither Agree nor Disagree). Reported p-values are two-tailed.
4
There were no statistically-significant differences in mean responses between students from the two universities for variables reported in Table 2 (all p-
values . 0.10).
The Reel Wheel: Using Analytical Procedures as Substantive Tests of Account Balances 21
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Volume 35, Number 1, 2020
� ‘‘I sincerely felt like I was gaining real-world experience, and it was enjoyable. It wasn’t too complicated or too far from
reality. It made me feel like I could actually be an auditor!’’
� ‘‘I liked how it related to the real world and how I was able to apply the things that I have learned in class.’’
� ‘‘The best part of the Reel Wheel case was how it was based on something real. . . It felt like something more than just a
simple homework assignment, and that made it fun.’’
In an attempt to make improvements to the case and its implementation, we also asked students how instructors could
enhance the usefulness of the Reel Wheel case in their classrooms. We addressed several suggestions (e.g., make instructions
clearer, provide more guidance on specific requirements) through modest revisions to the case materials, but the following
comments represent constructive feedback for instructors to consider as they use the case:
� ‘‘A little more guidance in creating the spreadsheets for the [expectation formed using] disaggregated data would have
been helpful. . .’’
� ‘‘I ended up forgetting I could use the [Excel exhibits]. I entered all of the cells in manually, without realizing there is an
easier way.’’
� ‘‘It would be helpful to have time in class to work on the analysis; maybe the class could work together on the big screen
by having one person navigate Excel while others help describe what to do.’’
� ‘‘The [Part 1 and Part 3] memos seemed very lengthy when [they] could easily be discussed in class.’’
Implementation Guidance
The case is designed to allow instructors to tailor its implementation. The nature of the case lends itself well to either
individual work or to small-group assignments. We describe two possible approaches for implementing the Reel Wheel case in
an undergraduate auditing course.
Out-of-Class Assignment
One scenario for using the Reel Wheel case is to assign students (either individually or in pairs) to complete all parts (Parts
1, 2, and 3) outside of class with in-class follow up discussion of the case. This approach is the primary approach used by the
instructors who have implemented the case thus far. As previously discussed, Part 1 requires students to write a memo in which
they respond to five short-answer questions. Part 2 involves more critical thinking and creativity on the part of the students, and
the progressive nature of the three requirements allows students to develop confidence by creating a series of analytics that
increase in complexity and precision as the student becomes more experienced with the case. Part 3 also requires students to
think critically and to use judgment in crafting their responses to the four questions posed in this section. While responding to
TABLE 2
Student Feedback: Case Characteristicsa
Mean Median Min Max
Std.
Dev. t-statb p-value
I felt like the Reel Wheel case was a useful
learning exercise. (n ¼ 142)
1.83 1 1 9 1.288 �29.317 , 0.001
I felt like the Reel Wheel case was interesting.
(n ¼ 142)
2.04 2 1 9 1.492 �23.628 , 0.001
I felt like the Reel Wheel case was fun to work
on. (n ¼ 142)
2.65 2 1 9 1.739 �16.118 , 0.001
I would recommend that other auditing students
complete the Reel Wheel case to learn about
substantive analytical procedures. (n ¼ 141)
1.87 1 1 9 1.319 �28.149 , 0.001
I felt like the Reel Wheel case provided a real-
world context for applying classroom
principles. (n ¼ 141)
1.65 1 1 9 1.190 �33.472 , 0.001
a
The scale for these questions ranges from 1 (Strongly Agree) to 9 (Strongly Disagree), with a mid-point of 5 (Neither Agree nor Disagree).
b
Reported t-statistics represent a test of mean responses compared to the scale’s mid-point (Neither Agree nor Disagree). Reported p-values are two-tailed.
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the questions should not take a substantial amount of time, students will likely need some time to deeply consider some aspects
of these requirements.
In our experience, the amount of support needed by students with this out-of-class format is relatively modest. The most
common inquiries from students were to seek confirmation of identified auditing standards and to seek feedback on approaches
taken in developing their analytics. We recommend assigning a graduate assistant who has the suggested solution to serve as a
contact person to answer routine questions or to provide appropriate guidance and assistance to students as they work on the
case outside of class. We also recommend communicating that a variety of approaches exist to developing the Part 2 estimates
to reduce potential anxiety students may feel regarding whether their approach is the ‘‘right’’ one.
In order to better understand the amount of time required to complete the case outside of class, we asked students the
following question: ‘‘How much time do you think most students would need to complete [each part] of the Reel Wheel case?’’
Although students’ responses varied based on whether they had completed each part of the case in class or on their own, the
overall responses indicated that each part of the assignment could be completed in ‘‘between one and two hours.’’
After the students complete the assignment outside of class, we recommend spending 30 to 45 minutes reviewing the case
in a classroom lecture setting. This discussion could include a review of questions from Parts 1 and 3 as well as a demonstration
of possible solutions for the required analytics developed in Part 2.
Hybrid Out-of-Class and In-Class Assignment
An alternative method for using the Reel Wheel case in an auditing course is with an in-class, interactive case study
combined with an out-of-class portion. When using portions of this case as an in-class activity, we recommend encouraging
students to work in small groups to encourage intra-group discussion and to allow students to share the workload and to share
resources (e.g., laptops with internet access and Excel). At various points during the class, the instructor can invite groups to
share with the rest of the class. This requirement to share helps to hold groups accountable, which increases their attention and
engagement with the case study. This approach also helps ensure that groups that may be struggling to complete the case will
have an opportunity to get on track in a relatively short amount of time by seeing how other students are approaching the case.
FIGURE 1
Sample Itinerary for In-Class and Out-of-Class Hybrid Case Assignmenta
a
Depending on class size and student preparation, instructors may choose to adjust the times suggested in this sample itinerary. For example, instructors
could preserve more time for groups to work independently on Part 2.3 by leading a demonstration (i.e., working together as a class) of Part 2.1 and/or
2.2.
The Reel Wheel: Using Analytical Procedures as Substantive Tests of Account Balances 23
Issues in Accounting Education
Volume 35, Number 1, 2020
In a standard 75-minute class period, we recommend using a schedule that allows groups to perform tasks and to regularly
report back and discuss results with the other class members. In order to provide adequate time to complete the case in class, the
instructor might choose to provide significant guidance to students on portions of the case study if students appear to be getting
behind schedule. While a variety of approaches could be used, we provide a sample itinerary for completing the case as an in-
class and out-of-class hybrid activity in Figure 1.
Teaching Notes to this case include an Excel file provided to students with necessary data, suggested solutions to Parts 1,
2, and 3, and a set of instructor PowerPoint slides to facilitate in-class discussion of the case.
TEACHING NOTES AND STUDENT VERSION OF THE CASE
Teaching Notes and the Student Version of the Case are available only to non-student-member subscribers to Issues in
Accounting Education through the American Accounting Association’s electronic publications system at http://aaapubs.org/.
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can be reviewed and printed. The ‘‘Student Version of the Case’’ is available as a supplemental file that is posted with the
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If you are a non-student-member of AAA with a subscription to Issues in Accounting Education and have any trouble
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REFERENCES
Bagley, P., and N. Harp. 2012. Shoe Zoo, Inc.: A practice in electronic work papers, tick mark preparation, and client communication
through the audit of property, plant, and equipment. Issues in Accounting Education 27 (4): 1131–1151. https://doi.org/10.2308/
iace-50251
Beasley, M., F. Buckless, S. Glover, and D. Prawitt. 2015. Auditing Cases: An Interactive Learning Approach. 6th edition. New York,
NY: Pearson Education, Inc.
D’Aquila, J. M., and K. Capriotti. 2011. The SEC’s case against California micro devices: A lesson in using professional skepticism and
obtaining sufficient appropriate evidence. Issues in Accounting Education 26 (1): 145–154. https://doi.org/10.2308/iace.2011.26.1.
145
24 Smith and Stephens
Issues in Accounting Education
Volume 35, Number 1, 2020
The Reel Wheel
Using Analytical Procedures as Substantive Tests of Account Balances
The Reel Wheel
Coliseum Entertainment Corporation is one of the world’s largest hotel and gaming entertainment companies
One of Coliseum’s strategies to increase revenue and income has been to expand entertainment offerings and to encourage increased traffic to the company’s existing hotel and gaming properties
With that strategy in mind, Coliseum constructed a new attraction, the Reel Wheel, which opened on April 1st, 20X4
Case Background
The Reel Wheel is an observation wheel located at a new outdoor mall on the Las Vegas Strip.
The Reel Wheel operates daily, year-round (less 4 service days), from 11:00 a.m. to 2:00 a.m. Operations between 11:00am and 5:00pm are considered “day-time” rides; those between 5:00pm and 2:00am are considered “night-time” rides.
The client’s unaudited reported Ticket Sales Revenue balance for the year 20X5 is $73,468,219.
The amount of tolerable difference allocated to this account is $675,000.
Audit Focus
The engagement audit partner has asked you, a second-year associate with the firm, to oversee the audit of Ticket Sales Revenue generated by the Reel Wheel during the 20X5 calendar year.
The audit partner encourages you to consider using substantive analytical procedures to develop an independent expectation of Ticket Sales Revenue.
Use that estimate as evidence in evaluating the reasonableness of Coliseum’s reported Ticket Sales Revenue for the Reel Wheel’s operations during the year.
Part 1.1: Using Substantive Analytical Procedures
Respond to the following questions, citing relevant standards:
How and in what contexts may substantive analytical procedures be used during the course of the financial statement audit?
Are substantive analytical procedures allowed to be used as audit evidence?
What specific assertions related to the Ticket Sales Revenue account balance could a substantive analytical procedure be used to test?
Does the Ticket Sales Revenue account include “predictable relationships” required to develop an independent expectation?
Why do you think a substantive analytical procedure might be more effective and efficient than tests of details for the Ticket Sales Revenue account?
Part 1.2: Using Substantive Analytical Procedures
What do the auditing standards mean when they refer to the “precision” of an expectation developed with a substantive analytical procedure?
What do the standards suggest that you could do to improve the “precision” of your expectation for Ticket Sales Revenue?
Part 1.3: Using Substantive Analytical Procedures
Does the data provided to you for the purpose of conducting the audit of Reel Wheel’s Ticket Sales Revenue meet the requirements regarding the reliability of underlying data?
How does the source of the information impact its reliability?
Are there external sources that might be used to validate portions of the data provided by the client?
Part 1.4: Using Substantive Analytical Procedures
As indicated in the standards, briefly describe the required steps for documentation of substantive analytical procedures
Part 2.1: Attendance Expectations
Before developing and evaluating a precise analytic, consider a quick “reasonableness test” you could perform.
Develop a quick estimate of the maximum number of passengers possible during 20X5. In other words, how many passengers could ride on the Reel Wheel if every passenger car was filled to capacity for the entire year?
Part 2.1: Attendance Expectations
Note that this represents maximum capacity.
How many passengers would have experienced the Reel Wheel if it ran at 75%, 50%, and 25% of maximum capacity?
Part 2.1: Attendance Expectations
Part 2.2: Ticket Sales Expectation
Using highly aggregated ticket sales data (e.g., total passengers, average ticket price), develop an independent estimate of Ticket Sales Revenue in 20X5 and compare it to the client’s reported balance.
Part 2.2: Ticket Sales Expectation
Using this analytic, one would conclude that the Ticket Sales Revenue account is materially misstated.
What’s wrong with using a highly aggregated analytic like this?
What type of disaggregated information would help the auditor develop a more precise estimate?
Part 2.3: Using Disaggregated Data
Part 2.3: Using Disaggregated Data
Using this analytic with disaggregated data, one would conclude that the Ticket Sales Revenue account is fairly stated.
Parts 3.1-3.2: Reflect on the Engagement
Is the estimate developed in Part 2.3 (the disaggregated estimate) precise enough, or is more precision needed? Explain.
Given that much of the data was provided by the client, what additional audit procedures could you supplement this substantive analytic with to provide additional corroborating evidence that these ticket sales actually occurred?
Consider how your approach to auditing the Ticket Sales Revenue account would be different if a third-party ticket provider with a SOC 1 Type II report were providing these services for the client and was therefore the provider of ticket sales data (e.g. number of passengers, ticket prices, seasonality, daytime vs. nighttime rides, etc.).
Part 3.3: Reflect on the Engagement
Assuming the client’s controls are effective, how might the auditor use data analytics tools to audit the ticket sales revenue account?
How would the evidence obtained using data analytics (i.e., ability to effectively analyze every sales transaction during the year) compare with the evidence from both substantive analytical procedures and tests of details in terms of effectiveness and efficiency?
What additional insights might the auditor be able to identify using data analytics?
Part 3.4: Reflect on the Engagement
Research the AICPA’s website and briefly explain what a SOC 1 Type II report is.
Consider how your approach to auditing the Ticket Sales Revenue account might be different if a third-party ticket provider with a SOC 1 Type II report were providing these services for the client and was therefore the source of the ticket sales data you requested (e.g. number of passengers, ticket prices, seasonality, daytime vs. nighttime rides).
Lessons Learned
Substantive analytical procedures can provide efficient and effective substantive tests when properly designed and when incorporating reliable data.
Analytics developed using disaggregated data provide a more precise expectation compared to analytics that use aggregated data.
RW Ticket Revenue A.01
Coliseum Entertainment | Workpaper (WP) ID: | A.01 | |||||||
Substantive Analytical Procedure – Ticket Sales Revenue: The Reel Wheel | Date: | ||||||||
Year-end Audit: December 31, 20X5 | Prepared By: | ||||||||
20X5 Unaudited Account Balance ( | Ticket Sales Revenue | ) | |||||||
Account | Data Point | Unit Label | Tickmark | WP Reference | |||||
Ticket Sales Revenue (unaudited) | $ 73,468,219.00 | dollars | PBC | from Trial Balance | |||||
Allocated tolerable difference | 675,000.00 | dollars | AA.09 | ||||||
20X5 Summary Information & Data for “The Reel Wheel” | |||||||||
Description | Data Point | Unit Label | Tickmark | WP Reference | |||||
Observation Wheel Height | 550 | feet | PBC, RW | ||||||
Number of Passenger Cars | 28 | cars | PBC, RW | ||||||
Interior Space per Car | 225 | square feet | PBC, RW | ||||||
Maximum Capacity per Car | 40 | passengers | PBC, RW | ||||||
Time Required for Car Revolution | 30 | minutes | PBC, RW | ||||||
Hours of Operation (Open) | 11:00am | . | PBC, RW | ||||||
Hours of Operation (Close) | 2:00am | . | PBC, RW | ||||||
Description (20X5 calendar year) | Data Point | Unit Label | Tickmark | WP Reference | |||||
Days in Operation | 361 | days | PBC | ||||||
Total Passengers | 3,058,452 | passengers | PBC | from A.02 | |||||
Total Children Passengers | 250,389 | passengers | PBC | A.02, A.03 | |||||
Description (20X5 calendar year) | Data Point | Unit Label | Tickmark | WP Reference | |||||
Regular Ticket Price (Child; Age 0 – 12) | $ – 0 | dollars | RW | ||||||
Regular Ticket Price – Day (Adult; Age 13+) | 24.95 | dollars | RW | ||||||
Regular Ticket Price – Night (Adult; Age 13+) | 34.95 | dollars | RW | ||||||
Summer Ticket Price – Day (Adult; Age 13+) | 19.95 | dollars | RW | ||||||
Summer Ticket Price – Night (Adult; Age 13+) | 29.95 | dollars | RW | ||||||
WholesaleTicket Price | 12.95 | dollars | PBC | ||||||
Notes | |||||||||
• Where noted, data is verified at multiple sources (e.g., PBC, RW). | |||||||||
• The Reel Wheel sells some tickets to wholesalers – such as third-party travel websites – if booked as part of a travel package that includes a stay at a Coliseum hotel. | |||||||||
• Although not specifically listed on the RW website, prices for Las Vegas locals (Photo ID required) are 40% off of Regular Adult (Day, Night) prices. No summer discount for locals. | |||||||||
Tickmark Legend | |||||||||
PBC | Provided by client (Coliseum Entertainment) | ||||||||
RW | Sourced from Reel Wheel public website | ||||||||
RW Ticket Revenue A.02
Coliseum Entertainment | Workpaper (WP) ID: | A.02 | |||||
Substantive Analytical Procedure – Ticket Sales Revenue: The Reel Wheel | Date: | ||||||
Year-end Audit: December 31, 20X5 | Prepared By: | ||||||
20X5 Ticket Sales Data for “The Reel Wheel” | [Provided by Client] | ||||||
Total Passengers | Unit Label | Tickmark | WP Reference | ||||
January | 245,163 | people | PBC | ||||
February | 228,455 | people | |||||
March | 261,996 | people | |||||
Q1 20X5 | 735,614 | people | |||||
April | 255,898 | people | |||||
May | 270,268 | people | |||||
June | 256,758 | people | |||||
Q2 20X5 | 782,924 | people | |||||
July | 270,000 | people | |||||
August | 260,209 | people | |||||
September | 256,207 | people | |||||
Q3 20X5 | 786,416 | people | |||||
October | 273,523 | people | |||||
November | 246,589 | people | |||||
December | 233,385 | people | |||||
Q4 20X5 | 753,497 | people | |||||
20X5 Total | 3,058,451 | people | PBC | to A.01 | |||
Tickmark Legend | |||||||
PBC | Provided by client (Coliseum Entertainment) |
RW Ticket Revenue A.03
Colisum Entertainment | Workpaper (WP) ID: | A.03 | |||||||||
Substantive Analytical Procedure – Ticket Sales Revenue: The Reel Wheel | Date: | ||||||||||
Year-end Audit: December 31, 20X5 | Prepared By: | ||||||||||
20X5 Ticket Sales Mix (%) for “The Reel Wheel” | [Provided by Client] | Tickmark | |||||||||
PBC | |||||||||||
Children (0 – 12) | Adults (13+) | Locals | Wholesale | ||||||||
Day | Night | Day | Night | Day | Night | Day | Night | ||||
January | 4.2% | 3.3% | 22.4% | 43.8% | 4.5% | 8.7% | 5.2% | 7.9% | |||
February | 4.7% | 3.1% | 22.8% | 41.6% | 4.9% | 9.4% | 5.0% | 8.5% | |||
March | 4.1% | 3.3% | 23.1% | 43.6% | 4.0% | 7.8% | 5.8% | 8.3% | |||
Q1 | 4.3% | 3.2% | 22.8% | 43.0% | 4.5% | 8.6% | 5.3% | 8.2% | 100.0% | ||
April | 4.3% | 3.8% | 23.9% | 41.2% | 4.7% | 9.0% | 5.1% | 8.0% | |||
May | 4.6% | 3.0% | 24.1% | 44.2% | 4.3% | 8.9% | 4.2% | 6.7% | |||
June | 4.9% | 4.3% | 23.6% | 44.7% | 4.6% | 9.3% | 3.7% | 4.9% | |||
Q2 | 4.6% | 3.7% | 23.9% | 43.4% | 4.5% | 9.1% | 4.3% | 6.5% | 100.0% | ||
July | 4.9% | 4.0% | 22.2% | 41.2% | 5.2% | 10.4% | 4.9% | 7.2% | |||
August | 4.9% | 4.1% | 21.6% | 43.3% | 4.8% | 11.0% | 4.4% | 5.9% | |||
September | 4.1% | 3.4% | 22.9% | 42.6% | 4.6% | 10.4% | 5.3% | 6.7% | |||
Q3 | 4.6% | 3.8% | 22.2% | 42.4% | 4.9% | 10.6% | 4.9% | 6.6% | 100.0% | ||
October | 4.5% | 3.7% | 23.1% | 43.2% | 4.1% | 9.7% | 4.9% | 6.8% | |||
November | 4.5% | 4.1% | 23.7% | 42.9% | 4.0% | 8.8% | 5.0% | 7.0% | |||
December | 4.3% | 4.1% | 23.0% | 42.5% | 4.2% | 8.4% | 5.4% | 8.1% | |||
Q4 | 4.4% | 4.0% | 23.3% | 42.9% | 4.1% | 9.0% | 5.1% | 7.3% | 100.0% | PBC | |
Tickmark Legend | |||||||||||
PBC | Provided by client (Coliseum Entertainment) |
RW Ticket Revenue A.01
Coliseum Entertainment | Workpaper (WP) ID: | A.01 | |||||||
Substantive Analytical Procedure – Ticket Sales Revenue: The Reel Wheel | Date: | 1/25/16 | |||||||
Year-end Audit: December 31, 2015 | Prepared By: | Stephen Schmidt | |||||||
2015 Unaudited Account Balance (Ticket Sales Revenue) | |||||||||
Account | Data Point | Unit Label | Tickmark | WP Reference | |||||
Ticket Sales Revenue (unaudited) | $ 73,468,219.00 | dollars | PBC | from Trial Balance | |||||
Allocated tolerable difference | 675,000.00 | dollars | AA.09 | ||||||
2015 Summary Information & Data for “The Reel Wheel” | |||||||||
Description | Data Point | Unit Label | Tickmark | WP Reference | |||||
Observation Wheel Height | 550 | feet | PBC, RW | ||||||
Number of Passenger Cars | 28 | cars | PBC, RW | ||||||
Interior Space per Car | 225 | square feet | PBC, RW | ||||||
Maximum Capacity per Car | 40 | passengers | PBC, RW | ||||||
Time Required for Car Revolution | 30 | minutes | PBC, RW | ||||||
Hours of Operation (Open) | 11:00am | . | PBC, RW | ||||||
Hours of Operation (Close) | 2:00am | . | PBC, RW | ||||||
Description (2015 calendar year) | Data Point | Unit Label | Tickmark | WP Reference | |||||
Days in Operation | 361 | days | PBC, TT | ||||||
Total Passengers | 3,058,452 | passengers | TT | from A.02 | |||||
Total Children Passengers | 250,389 | passengers | TT | A.02, A.03 | |||||
Description (2015 calendar year) | Data Point | Unit Label | Tickmark | WP Reference | |||||
Regular Ticket Price (Child; Age 0 – 12) | $ – 0 | dollars | TT, RW | ||||||
Regular Ticket Price – Day (Adult; Age 13+) | 24.95 | dollars | TT, RW | ||||||
Regular Ticket Price – Night (Adult; Age 13+) | 34.95 | dollars | TT, RW | ||||||
Summer Ticket Price – Day (Adult; Age 13+) | 19.95 | dollars | TT, RW | ||||||
Summer Ticket Price – Night (Adult; Age 13+) | 29.95 | dollars | TT, RW | ||||||
WholesaleTicket Price | 12.95 | dollars | TT | ||||||
Notes | |||||||||
• Where noted, data is verified at multiple sources (e.g., PBC, RW). | |||||||||
• The Reel Wheel sells some tickets to wholesalers – such as third-party travel websites – if booked as part of a travel package that includes a stay at a Coliseum hotel. | |||||||||
• Although not specifically listed on the RW website, prices for Las Vegas locals (Photo ID required) are 40% off of Regular Adult (Day, Night) prices. No summer discount for locals. | |||||||||
Tickmark Legend | |||||||||
PBC | Provided by client (Coliseum Entertainment) | ||||||||
RW | Sourced from Reel Wheel public website | ||||||||
TT | Sourced from Trusted Tickets |
RW Ticket Revenue A.02
Coliseum Entertainment | Workpaper (WP) ID: | A.02 | |||||
Substantive Analytical Procedure – Ticket Sales Revenue: The Reel Wheel | Date: | 1/25/16 | |||||
Year-end Audit: December 31, 2015 | Prepared By: | Stephen Schmidt | |||||
2015 Ticket Sales Data for “The Reel Wheel” | [Provided by Trusted Tickets] | ||||||
Total Passengers | Unit Label | Tickmark | WP Reference | ||||
January | 245,163 | people | TT | ||||
February | 228,455 | people | |||||
March | 261,996 | people | |||||
Q1 2015 | 735,614 | people | |||||
April | 255,898 | people | |||||
May | 270,268 | people | |||||
June | 256,758 | people | |||||
Q2 2015 | 782,924 | people | |||||
July | 270,000 | people | |||||
August | 260,209 | people | |||||
September | 256,207 | people | |||||
Q3 2015 | 786,416 | people | |||||
October | 273,523 | people | |||||
November | 246,589 | people | |||||
December | 233,385 | people | |||||
Q4 2015 | 753,497 | people | |||||
2015 Total | 3,058,451 | people | TT | to A.01 | |||
Tickmark Legend | |||||||
TT | Sourced from Trusted Tickets |
RW Ticket Revenue A.03
Colisum Entertainment | Workpaper (WP) ID: | A.03 | |||||||||
Substantive Analytical Procedure – Ticket Sales Revenue: The Reel Wheel | Date: | ||||||||||
Year-end Audit: December 31, 20X5 | Prepared By: | ||||||||||
20X5 Ticket Sales Mix (%) for “The Reel Wheel” | [Provided by Client] | Tickmark | |||||||||
PBC | |||||||||||
Children (0 – 12) | Adults (13+) | Locals | Wholesale | ||||||||
Day | Night | Day | Night | Day | Night | Day | Night | ||||
January | 4.2% | 3.3% | 22.4% | 43.8% | 4.5% | 8.7% | 5.2% | 7.9% | |||
February | 4.7% | 3.1% | 22.8% | 41.6% | 4.9% | 9.4% | 5.0% | 8.5% | |||
March | 4.1% | 3.3% | 23.1% | 43.6% | 4.0% | 7.8% | 5.8% | 8.3% | |||
Q1 | 4.3% | 3.2% | 22.8% | 43.0% | 4.5% | 8.6% | 5.3% | 8.2% | 100.0% | ||
April | 4.3% | 3.8% | 23.9% | 41.2% | 4.7% | 9.0% | 5.1% | 8.0% | |||
May | 4.6% | 3.0% | 24.1% | 44.2% | 4.3% | 8.9% | 4.2% | 6.7% | |||
June | 4.9% | 4.3% | 23.6% | 44.7% | 4.6% | 9.3% | 3.7% | 4.9% | |||
Q2 | 4.6% | 3.7% | 23.9% | 43.4% | 4.5% | 9.1% | 4.3% | 6.5% | 100.0% | ||
July | 4.9% | 4.0% | 22.2% | 41.2% | 5.2% | 10.4% | 4.9% | 7.2% | |||
August | 4.9% | 4.1% | 21.6% | 43.3% | 4.8% | 11.0% | 4.4% | 5.9% | |||
September | 4.1% | 3.4% | 22.9% | 42.6% | 4.6% | 10.4% | 5.3% | 6.7% | |||
Q3 | 4.6% | 3.8% | 22.2% | 42.4% | 4.9% | 10.6% | 4.9% | 6.6% | 100.0% | ||
October | 4.5% | 3.7% | 23.1% | 43.2% | 4.1% | 9.7% | 4.9% | 6.8% | |||
November | 4.5% | 4.1% | 23.7% | 42.9% | 4.0% | 8.8% | 5.0% | 7.0% | |||
December | 4.3% | 4.1% | 23.0% | 42.5% | 4.2% | 8.4% | 5.4% | 8.1% | |||
Q4 | 4.4% | 4.0% | 23.3% | 42.9% | 4.1% | 9.0% | 5.1% | 7.3% | 100.0% | PBC | |
Tickmark Legend | |||||||||||
PBC | Provided by Client |
Part 2.1 Solution
Part 2.1 | In order to better understand whether the reported number of total passengers in 20X5 (as advertised by Coliseum) is reasonable, develop a quick estimate of the maximum number of passengers possible during 20X5. In other words, how many passengers could ride on the Reel Wheel if every passenger car was filled to capacity for the entire year? Given that not every car will be filled to capacity, develop a rough estimate for a “reasonable” number of reported passengers during the year. Does the number of reported passengers seem reasonable? | ||||
Data Point | Description | Workpaper Reference | |||
15 | hours / day | A.01 | |||
28 | cars available | A.01 | |||
0.5 | hours to revolve / car | A.01 | |||
840 | total car revolutions / day | ||||
361 | days in operation / year | ||||
303,240 | total car revolutions / year | ||||
40 | maximum passengers / car | A.01 | |||
12,129,600 | maximum passengers / year | ||||
Notes: | |||||
Although more than 12 million passengers could – in theory – ride on the Reel Wheel during a calendar year, the actual number of riders is most likely a small fraction of that number (as shown below using arbitrary estimates). | |||||
Data Point | Description | Workpaper Reference | |||
75% | percent of cars w/ passengers | ||||
35% | average car capacity | ||||
3,184,020 | estimated number of passengers | ||||
Note: | |||||
The esimated number of passengers is conditional on the arbitrary estimates of the percentage of cars with passengers and the average car capacity. As these variables change, the estimated number of passengers may change significantly. | |||||
Part 2.2 Solution
Part 2.2 | Develop an independent estimate of Ticket Sales Revenue using highly-aggregated data (e.g., Total Number of Paying Passengers, Average Ticket Price). Evaluate this independent estimate by comparing it to the client’s reported account balance. Determine if the reported balance is within a tolerable range of your independent estimate using this aggregated data approach. | |||||
Data Point | Description | Workpaper Reference | ||||
3,058,452 | Total number of passengers | A.01 | ||||
(250,389) | Total children passengers | A.01 | ||||
2,808,063 | Total paying passengers | |||||
Data Point | Description | Workpaper Reference | ||||
$ 24.95 | Regular Ticket – Day / Adult | A.01 | ||||
$ 34.95 | Regular Ticket – Night / Adult | A.01 | ||||
$ 19.95 | Summer Ticket – Day / Adult | A.01 | ||||
$ 29.95 | Summer Ticket – Night / Adult | A.01 | ||||
$ 12.95 | Wholesale Ticket | A.01 | ||||
$ 24.55 | Average Ticket Price | |||||
$ 68,937,946.65 | Total (Paying Passengers * Avg. Ticket Price) | |||||
73,468,219.00 | Unaudited Account Balance ( | PBC | ) | A.01 | ||
(4,530,272.35) | Observed Difference | |||||
675,000.00 | Tolerable Differences | A.01 | ||||
No | Is |Observed Difference| < Tolerable Difference? | |||||
Notes: | ||||||
Based on this independent estimate, which is based on highly-aggregated passenger data and with a rudimentary average of available ticket prices, the client’s unaudited Ticket Sales Revenue appers to be overstated by an amount greater than the tolerable difference. Based on this analytic, it appears that the account is materially overstated. Recommend substantive tests of transaction details by sampling daily sales receipts, deposits, and ledger entries. | ||||||
Part 2.3 Solution
Part 2.3 | Using the disaggregated data available to you, develop an audit work paper to report a more precise estimate for Ticket Sales Revenue in 20X5 at the Reel Wheel. Compare your revised estimate using disaggregated data with the client’s reported account balance and determine (1) whether or not the client’s amount appears to be materially misstated and (2) what, if any, additional audit work is required to test the account balance. | ||||||||||||||||||||||||
Colisum Entertainment | Workpaper (WP) ID: | A.04 | |||||||||||||||||||||||
Substantive Analytical Procedure – Ticket Sales Revenue: The Reel Wheel | Date: | ||||||||||||||||||||||||
Year-end Audit: December 31, 20X5 | Prepared By: | ||||||||||||||||||||||||
Stage 1: Documentation of Independent Expectation (PCAOB AS 2305.22.a) | |||||||||||||||||||||||||
Children (0 – 12) | Adults (13+) | Locals (40% Off of Regular) | Wholesale | Quarterly Totals | |||||||||||||||||||||
Number of Passengers | Day | Price | Night | Price | Revenue | Day | Price | Night | Price | Revenue | Day | Price | Night | Price | Revenue | Day | Price | Night | Price | Revenue | |||||
January | 245,163 | 4.2% | $0 | 3.3% | $0 | $ – 0 | 22.4% | $ 24.95 | 43.8% | $ 34.95 | $ 5,123,146.69 | 4.5% | $ 14.97 | 8.7% | $ 20.97 | $ 612,426.98 | 5.2% | $ 12.95 | 7.9% | $ 12.95 | $ 415,906.77 | ||||
February | 228,455 | 4.7% | $0 | 3.1% | $0 | – 0 | 22.8% | 24.95 | 41.6% | 34.95 | 4,621,142.05 | 4.9% | 14.97 | 9.4% | 20.97 | 617,904.52 | 5.0% | 12.95 | 8.5% | 12.95 | 399,396.45 | ||||
March | 261,996 | 4.1% | $0 | 3.3% | $0 | – 0 | 23.1% | 24.95 | 43.6% | 34.95 | 5,502,348.29 | 4.0% | 14.97 | 7.8% | 20.97 | 585,419.58 | 5.8% | 12.95 | 8.3% | 12.95 | 478,391.60 | ||||
Q1 | 735,614 | – 0 | 15,246,637.04 | 1,815,751.09 | 1,293,694.82 | $ 18,356,082.94 | |||||||||||||||||||
April | 255,898 | 4.3% | $0 | 3.8% | $0 | – 0 | 23.9% | 24.95 | 41.2% | 34.95 | 5,210,710.23 | 4.7% | 14.97 | 9.0% | 20.97 | 663,003.57 | 5.1% | 12.95 | 8.0% | 12.95 | 434,118.16 | ||||
May | 270,268 | 4.6% | $0 | 3.0% | $0 | – 0 | 24.1% | 24.95 | 44.2% | 34.95 | 5,800,181.01 | 4.3% | 14.97 | 8.9% | 20.97 | 678,383.49 | 4.2% | 12.95 | 6.7% | 12.95 | 381,496.80 | ||||
June | 256,758 | 4.9% | $0 | 4.3% | $0 | – 0 | 23.6% | 24.95 | 44.7% | 34.95 | 5,523,082.82 | 4.6% | 14.97 | 9.3% | 20.97 | 677,540.71 | 3.7% | 12.95 | 4.9% | 12.95 | 285,951.38 | ||||
Q2 | 782,924 | – 0 | 16,533,974.06 | 2,018,927.77 | 1,101,566.34 | 19,654,468.18 | |||||||||||||||||||
July | 270,000 | 4.9% | $0 | 4.0% | $0 | – 0 | 22.2% | 19.95 | 41.2% | 29.95 | 4,527,441.00 | 5.2% | 14.97 | 10.4% | 20.97 | 799,016.40 | 4.9% | 12.95 | 7.2% | 12.95 | 423,076.50 | ||||
August | 260,209 | 4.9% | $0 | 4.1% | $0 | – 0 | 21.6% | 19.95 | 43.3% | 29.95 | 4,495,774.01 | 4.8% | 14.97 | 11.0% | 20.97 | 787,199.88 | 4.4% | 12.95 | 5.9% | 12.95 | 347,079.77 | ||||
September | 256,207 | 4.1% | $0 | 3.4% | $0 | – 0 | 22.9% | 19.95 | 42.6% | 29.95 | 4,439,362.74 | 4.6% | 14.97 | 10.4% | 20.97 | 735,185.99 | 5.3% | 12.95 | 6.7% | 12.95 | 398,145.68 | ||||
Q3 | 786,416 | – 0 | 13,462,577.75 | 2,321,402.27 | 1,168,301.95 | 16,952,281.97 | |||||||||||||||||||
October | 273,523 | 4.5% | $0 | 3.7% | $0 | – 0 | 23.1% | 24.95 | 43.2% | 34.95 | 5,706,195.80 | 4.1% | 14.97 | 9.7% | 20.97 | 724,250.61 | 4.9% | 12.95 | 6.8% | 12.95 | 414,428.37 | ||||
November | 246,589 | 4.5% | $0 | 4.1% | $0 | – 0 | 23.7% | 24.95 | 42.9% | 34.95 | 5,155,362.25 | 4.0% | 14.97 | 8.8% | 20.97 | 602,702.97 | 5.0% | 12.95 | 7.0% | 12.95 | 383,199.31 | ||||
December | 233,385 | 4.3% | $0 | 4.1% | $0 | – 0 | 23.0% | 24.95 | 42.5% | 34.95 | 4,805,922.27 | 4.2% | 14.97 | 8.4% | 20.97 | 557,841.49 | 5.4% | 12.95 | 8.1% | 12.95 | 408,015.33 | ||||
Q4 | 753,497 | – 0 | 15,667,480.31 | 1,884,795.08 | 1,205,643.01 | 18,757,918.39 | |||||||||||||||||||
20X5 Annual Totals | 3,058,451 | – 0 | $ 60,910,669.16 | $ 8,040,876.20 | $ 4,769,206.12 | $ 73,720,751.48 | |||||||||||||||||||
A.02 | A.03 | A.01 | A.03 | A.01 | A.03 | A.01 | A.03 | A.01 | A.03 | A.01 | A.03 | A.01 | A.03 | A.01 | A.03 | A.01 | |||||||||
Stage 2: Compare Expectation to Unaudited Account Balance (PCAOB AS 2305.22.b) | |||||||||||||||||||||||||
Unaudited Account Balance ( | PBC | ) | A.01 | 73,468,219.00 | |||||||||||||||||||||
Observed Difference | 252,532.48 | ||||||||||||||||||||||||
Tolerable Difference | A.01 | 675,000.00 | |||||||||||||||||||||||
Is |Observed Difference| < Tolerable Difference? | Yes | ||||||||||||||||||||||||
If Observed Difference is less than Tolerable Difference, then analytic supports unaudited amount. | |||||||||||||||||||||||||
Stage 3: Prescribe Additional Audit Procedures (PCAOB AS 2305.22.c) | |||||||||||||||||||||||||
The independent estimated developed from the analytical procedure – which was designed with sufficient precision to provide reasonable assurance regarding this estimate – supports the client’s reported Ticket Sales Revenue account balance. Because much of the data underlying the analytic was provided by the client, recommend additional substantive testing of cash/credit-card receipts to provide additional corroborative evidence regarding the occurrence of transactions. | |||||||||||||||||||||||||
RW Ticket Revenue A.01
Coliseum Entertainment | Workpaper (WP) ID: | A.01 | |||||||
Substantive Analytical Procedure – Ticket Sales Revenue: The Reel Wheel | Date: | ||||||||
Year-end Audit: December 31, 20X5 | Prepared By: | ||||||||
20X5 Unaudited Account Balance (Ticket Sales Revenue) | |||||||||
Account | Data Point | Unit Label | Tickmark | WP Reference | |||||
Ticket Sales Revenue (unaudited) | $ 73,468,219.00 | dollars | PBC | from Trial Balance | |||||
Allocated tolerable difference (i.e., tolerable error) | 675,000.00 | dollars | AA.09 | ||||||
20X5 Summary Information & Data for “The Reel Wheel” | |||||||||
Description | Data Point | Unit Label | Tickmark | WP Reference | |||||
Observation Wheel Height | 550 | feet | PBC, RW | ||||||
Number of Passenger Cars | 28 | cars | PBC, RW | ||||||
Interior Space per Car | 225 | square feet | PBC, RW | ||||||
Maximum Capacity per Car | 40 | passengers | PBC, RW | ||||||
Time Required for Car Revolution | 30 | minutes | PBC, RW | ||||||
Hours of Operation (Open) | 11:00am | . | PBC, RW | ||||||
Hours of Operation (Close) | 2:00am | . | PBC, RW | ||||||
Description (20X5 calendar year) | Data Point | Unit Label | Tickmark | WP Reference | |||||
Days in Operation | 361 | days | PBC | ||||||
Total Passengers | 3,058,452 | passengers | PBC | from A.02 | |||||
Total Children Passengers | 250,389 | passengers | PBC | A.02, A.03 | |||||
Description (20X5 calendar year) | Data Point | Unit Label | Tickmark | WP Reference | |||||
Regular Ticket Price (Child; Age 0 – 12) | $ – 0 | dollars | RW | ||||||
Regular Ticket Price – Day (Adult; Age 13+) | 24.95 | dollars | RW | ||||||
Regular Ticket Price – Night (Adult; Age 13+) | 34.95 | dollars | RW | ||||||
Summer Ticket Price – Day (Adult; Age 13+) | 19.95 | dollars | RW | ||||||
Summer Ticket Price – Night (Adult; Age 13+) | 29.95 | dollars | RW | ||||||
WholesaleTicket Price | 12.95 | dollars | PBC | ||||||
Notes | |||||||||
• Where noted, data is verified at multiple sources (e.g., PBC, RW). | |||||||||
• The Reel Wheel sells some tickets to wholesalers – such as third-party travel websites – if booked as part of a travel package that includes a stay at a Coliseum hotel. | |||||||||
• Although not specifically listed on the RW website, prices for Las Vegas locals (Photo ID required) are 40% off of Regular Adult (Day, Night) prices. No additional summer discount apply for locals. | |||||||||
Tickmark Legend | |||||||||
PBC | Provided by client (Coliseum Entertainment) | ||||||||
RW | Sourced from Reel Wheel public website | ||||||||
RW Ticket Revenue A.02
Coliseum Entertainment | Workpaper (WP) ID: | A.02 | |||||
Substantive Analytical Procedure – Ticket Sales Revenue: The Reel Wheel | Date: | ||||||
Year-end Audit: December 31, 20X5 | Prepared By: | ||||||
20X5 Ticket Sales Data for “The Reel Wheel” | [Provided by Client] | ||||||
Total Passengers | Unit Label | Tickmark | WP Reference | ||||
January | 245,163 | people | PBC | ||||
February | 228,455 | people | |||||
March | 261,996 | people | |||||
Q1 20X5 | 735,614 | people | |||||
April | 255,898 | people | |||||
May | 270,268 | people | |||||
June | 256,758 | people | |||||
Q2 20X5 | 782,924 | people | |||||
July | 270,000 | people | |||||
August | 260,209 | people | |||||
September | 256,207 | people | |||||
Q3 20X5 | 786,416 | people | |||||
October | 273,523 | people | |||||
November | 246,589 | people | |||||
December | 233,385 | people | |||||
Q4 20X5 | 753,497 | people | |||||
20X5 Total | 3,058,451 | people | PBC | to A.01 | |||
Tickmark Legend | |||||||
PBC | Provided by client (Coliseum Entertainment) |
RW Ticket Revenue A.03
Colisum Entertainment | Workpaper (WP) ID: | A.03 | |||||||||
Substantive Analytical Procedure – Ticket Sales Revenue: The Reel Wheel | Date: | ||||||||||
Year-end Audit: December 31, 20X5 | Prepared By: | ||||||||||
20X5 Ticket Sales Mix (%) for “The Reel Wheel” | [Provided by Client] | Tickmark | |||||||||
PBC | |||||||||||
Children (0 – 12) | Adults (13+) | Locals | Wholesale | ||||||||
Day | Night | Day | Night | Day | Night | Day | Night | ||||
January | 4.2% | 3.3% | 22.4% | 43.8% | 4.5% | 8.7% | 5.2% | 7.9% | |||
February | 4.7% | 3.1% | 22.8% | 41.6% | 4.9% | 9.4% | 5.0% | 8.5% | |||
March | 4.1% | 3.3% | 23.1% | 43.6% | 4.0% | 7.8% | 5.8% | 8.3% | |||
Q1 | 4.3% | 3.2% | 22.8% | 43.0% | 4.5% | 8.6% | 5.3% | 8.2% | 100.0% | ||
April | 4.3% | 3.8% | 23.9% | 41.2% | 4.7% | 9.0% | 5.1% | 8.0% | |||
May | 4.6% | 3.0% | 24.1% | 44.2% | 4.3% | 8.9% | 4.2% | 6.7% | |||
June | 4.9% | 4.3% | 23.6% | 44.7% | 4.6% | 9.3% | 3.7% | 4.9% | |||
Q2 | 4.6% | 3.7% | 23.9% | 43.4% | 4.5% | 9.1% | 4.3% | 6.5% | 100.0% | ||
July | 4.9% | 4.0% | 22.2% | 41.2% | 5.2% | 10.4% | 4.9% | 7.2% | |||
August | 4.9% | 4.1% | 21.6% | 43.3% | 4.8% | 11.0% | 4.4% | 5.9% | |||
September | 4.1% | 3.4% | 22.9% | 42.6% | 4.6% | 10.4% | 5.3% | 6.7% | |||
Q3 | 4.6% | 3.8% | 22.2% | 42.4% | 4.9% | 10.6% | 4.9% | 6.6% | 100.0% | ||
October | 4.5% | 3.7% | 23.1% | 43.2% | 4.1% | 9.7% | 4.9% | 6.8% | |||
November | 4.5% | 4.1% | 23.7% | 42.9% | 4.0% | 8.8% | 5.0% | 7.0% | |||
December | 4.3% | 4.1% | 23.0% | 42.5% | 4.2% | 8.4% | 5.4% | 8.1% | |||
Q4 | 4.4% | 4.0% | 23.3% | 42.9% | 4.1% | 9.0% | 5.1% | 7.3% | 100.0% | PBC | |
Tickmark Legend | |||||||||||
PBC | Provided by client (Coliseum Entertainment) |