| Course | AC312 Fundamentals of Accounting Analytics |
|---|---|
| Unit | Unit 2 |
| Paper type | Data question framing exercise |
| Length | About 640 words, 5 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | BS in Accounting |
| Updated | October 2026 |
Free sample paper for AC312 Unit 2
From a Hunch to a Test: A Unit 2 Data Question Framing Exercise for a Grain Cooperative
[Student Name]
Purdue University Global
AC312: Fundamentals of Accounting Analytics
Unit 2 Data Question Framing Exercise
[Instructor Name]
[Date]
Plainsmark Cooperative, its elevators and every figure are composite; the guide and textbooks cited are real.
Why Framing Comes First
A vague concern invites a search through the data until something looks odd, and in a file of tens of thousands of rows something always does (Vasarhelyi et al., 2015). A framed question fixes in advance what will count as a finding, which keeps the analysis honest and makes its result usable as evidence (American Institute of Certified Public Accountants, 2017). Each table below uses the same nine rows.
Framing Table 1: "Drying income seems light this fall"
1. Remark as given: drying income seems light for the fall harvest.
2. Hidden assumption: drying charges were not billed on some wet corn, or were billed at an old rate.
3. Measurable question: for corn loads received September through December 2024, does drying revenue billed differ from the rate card amount, 4.2 cents per bushel for each point of moisture above 15.5 percent, by more than 5 percent at any elevator in any month?
4. Population: every corn scale ticket in those four months, not a sample.
5. Fields: ticket number, elevator, date, bushels, moisture reading, drying charge billed.
6. Test: compute the rate card charge for each load, total by elevator and month, and compare with billed charges.
7. Expected result if the worry is unfounded: billed and computed charges agree within 5 percent for every elevator and month.
8. Threshold for a finding: any elevator-month more than 5 percent below the rate card.
9. Accounts affected: drying revenue, and settlements payable or cost of grain purchased, because the drying charge is deducted from what the member is paid.
The framed question names the rate card, the months and the threshold before anyone opens the file, so whatever the test finds can be reported as a measured shortfall rather than a feeling confirmed after the fact.
Framing Table 2: "The north elevator grades generously"
1. Remark as given: the north elevator gives better grades than the others.
2. Hidden assumption: North records fewer discounts for damage, foreign material or low test weight than the grain warrants.
3. Measurable question: during the 2024-2025 marketing year, was the share of soybean loads at North with no quality discount more than 10 percentage points above the average of the other five elevators?
4. Population: every soybean settlement for the year.
5. Fields: elevator, member, ticket, grade factors, discount amount, operator.
6. Test: compute the no-discount share for each elevator and compare North with the others; repeat by operator within North.
7. Expected result if the worry is unfounded: North's share falls within 10 points of the others' average.
8. Threshold for a finding: more than 10 points above, or one operator well above North's other operators.
9. Accounts affected: cost of grain purchased and grain inventory, which would be carried above the value of the grain actually received.
What the Framing Leaves Out
The second question cannot by itself show that grading is wrong. North's members might simply deliver cleaner beans, since soils and storage differ by area. If the test finds a gap, the next step is evidence outside the ledger, such as retained samples or a second grader's results (Richardson et al., 2021).
Which to Test First
The drying question comes first. It has an objective rate, a complete population and a direct dollar effect, so a result will either close the concern or measure it. The grading question needs the drying test's experience with the data and a plan for evidence beyond the file before its result can be interpreted.
References
American Institute of Certified Public Accountants. (2017). Guide to audit data analytics. AICPA.
Richardson, V. J., Teeter, R. A., & Terrell, K. L. (2021). Data analytics for accounting (2nd ed.). McGraw Hill.
Vasarhelyi, M. A., Kogan, A., & Tuttle, B. M. (2015). Big data in accounting: An overview. Accounting Horizons, 29(2), 381-396. https://doi.org/10.2308/acch-51071
The Purdue Global AC312 Unit 2 instructions
The second unit of AC312 asks students to convert loose concerns into questions data can answer. Start by quoting the concern as it was raised. Identify the assumption hidden inside it. Write one measurable question naming the period, the population and the comparison. List the population and say whether it is complete or a sample. Name the fields the test needs. Describe the test in a sentence. State what result you would expect if the concern were unfounded, so the test can fail. Set a threshold for a finding and justify it from something outside your preference, such as a rate card or a tolerance. Name the account an answer would move. Note what the framing cannot establish. Finish by choosing which question to test first and why. Cite the AICPA guide and an analytics text in APA 7.
Inside the AC312 Unit 2 example
The sample explains in a short opening section why framing comes first, citing Vasarhelyi and colleagues on the risk of searching large files for oddities. Framing Table 1 turns the drying remark into a question about corn loads from September through December 2024, compares billed charges with the rate card of 4.2 cents per bushel per point above 15.5 percent, and sets a 5 percent threshold by elevator and month. The highlighted sentence explains why every element is fixed beforehand. Framing Table 2 turns the grading remark into a comparison of no-discount soybean shares at North against the other five elevators, with a 10-point threshold and a repeat by operator. A section notes that cleaner beans could explain a gap, so retained samples would be needed. The closing section chooses the drying question first because it has an objective rate.
Where the points sit in the AC312 Unit 2 rubric
AC312 graders read each framing table for completeness, so all nine elements must appear for each concern. The measurable question is the most important row: it must name a period, a population and a comparison that one test can answer. An expected result if the concern is unfounded earns credit because it gives the test a way to fail. A threshold justified by an outside standard scores better than an arbitrary one. Naming the affected accounts connects the analytics to accounting. Acknowledging what the framing cannot establish shows judgment. A reasoned choice of which question to test first demonstrates practical sense. Clean tables with labeled rows make grading straightforward. Purdue Global instructors in this course also look for references in APA 7 to the AICPA analytics guide and the course text.
Common AC312 Unit 2 mistakes, and how to avoid them
Framing exercises go wrong when the measurable question is still vague, such as asking whether drying charges are too low without a period or a comparison. Students skip the hidden assumption, so the test aims at the wrong thing. Populations are described as samples when the full file is available. Thresholds appear without a basis. The expected result if the concern is unfounded is missing, which leaves the test unable to fail. Accounts are not named, so the work floats free of the statements. Some students start analyzing data inside the framing, which belongs to later units. Others frame only one concern. If your section's concerns involve expense reports, payroll overtime or inventory counts, a writer can build the framing tables for them in the same nine rows.
Get an AC312 Unit 2 example written to your instructions
Send the scenario the Unit 2 prompt sets out, or a concern from your own work, together with the rubric and a list of the fields your data holds. Framing tables built on that setting arrive within 24-48h, each question tied to an account and a stated threshold. A first custom sample costs nothing. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.
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AC312 Unit 2 questions, answered
Where can I find a free AC312 Unit 2 sample paper?
This page offers a complete AC312 Unit 2 data question framing exercise turning two concerns at a composite grain cooperative into testable questions with nine-row framing tables and APA 7 references.
Why does the AC312 Unit 2 sample state an expected result before testing?
Without it, any result could be read as confirming the worry. Saying that billed and computed drying charges should agree within 5 percent gives the test a clear way to clear the concern.
Where does the 5 percent threshold in AC312 Unit 2 come from?
It is a tolerance set against the published rate card, wide enough to absorb rounding and timing between scale and settlement, and narrow enough that a real billing gap at one elevator would stand out.
Why test the drying question first in the AC312 Unit 2 sample?
It has an objective rate, a complete population and a direct dollar effect. The grading question depends on factors like soil and storage, so it needs outside evidence before any result means much.
Can the AC312 Unit 2 framing show the north elevator grades wrongly?
No. It can show that North records fewer discounts than the other elevators. Cleaner beans could explain that, so retained samples or a second grader's results would be needed.