AC312 Unit 4 Descriptive Analysis Exercise Example

Course	AC312 Fundamentals of Accounting Analytics
Unit	Unit 4
Paper type	Descriptive analysis exercise
Length	About 560 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 4

A Mean of $6,719.91 and a Median of $4,180.50: A Unit 4 Descriptive Analysis Exercise for a Grain Cooperative

[Student Name]

Purdue University Global

AC312: Fundamentals of Accounting Analytics

Unit 4 Descriptive Analysis Exercise

[Instructor Name]

[Date]

Plainsmark Cooperative and every figure are composite; the textbooks and guide cited are real.

What this part is doingOpening on the gap between mean and median tells the reader the distribution is skewed before any table appears.

Summary Table

1. Rows in the cleaned file: 28,640.

2. Settlements: 27,912 rows totaling $187,566,210.30.

3. Adjustments, discount corrections credited back to members: 728 rows totaling negative $1,164,091.75.

4. Net, agreeing with the general ledger control total: $186,402,118.55.

For settlements only:

5. Mean: $6,719.91.

6. Median: $4,180.50.

7. Standard deviation: $7,944.12.

8. Smallest: $18.40, a load of screenings.

9. Largest: $212,600.00, one deferred-payment corn contract settled in January.

The mean sits about $2,500 above the median because a few hundred large checks pull it up, so the median is the better answer to what a typical member's check looks like, and the mean is the better figure for budgeting total cash.

What this part is doingThe highlighted sentence explains what the skew means for each statistic's use, the interpretation graders look for.

The standard deviation of $7,944.12 is larger than the mean itself, another sign of a long right tail. In a population shaped like this one, a rule such as flagging every check more than two standard deviations above the mean would catch mostly ordinary large farms rather than errors, so later exception tests will set thresholds from the business, such as the approval limit, instead of from the spread alone.

Panel 1: Settlements by Size

1. Under $1,000: 4,920 checks, $2,612,480.15, 1.4 percent of dollars.

2. $1,000 to $9,999.99: 15,804 checks, $68,940,317.60, 36.8 percent.

3. $10,000 to $24,999.99: 6,412 checks, $93,046,201.35, 49.6 percent.

4. $25,000 and above: 776 checks, $22,967,211.20, 12.2 percent.

Most checks are small; most dollars are in the middle and upper bands. Any test aimed at dollar risk should concentrate on the third and fourth bands, while a test aimed at processing errors will find most of its cases among the smaller checks simply because there are so many.

Panel 2: Members and Crops

The 40 largest members received 31.2 percent of settlement dollars. At the other end, 380 members received less than $20,000 each for the whole year. By crop, corn accounts for 58.4 percent of dollars, soybeans 33.1 percent and wheat 8.5 percent.

Concentration matters for the later tests. A duplicate or pricing error for one of the 40 large members is worth more in dollars, while a pattern among small members can only show up across many checks.

Definitions

Every figure above counts only the cleaned file, after the eight log entries in Unit 3. Settlement statistics exclude the 728 adjustment rows, because mixing negative credits with checks would pull the mean and median down and describe no real payment (Richardson et al., 2021). The six rows flagged for unknown member numbers are included in all totals but excluded from the member concentration figures. Dollars are amounts paid, after drying and quality discounts. Crops are classified by the trimmed commodity code.

Why Definitions Matter

Two analysts can both report "average settlement" and disagree by thousands of dollars if one includes adjustments and the other does not. Descriptive statistics are evidence only when a reader can tell what was counted (American Institute of Certified Public Accountants, 2017). The definitions also guard against summarizing a skewed population with a single mean, a common error in presenting accounting data (Janvrin et al., 2014).

What this part is doingEnding with why definitions matter shows the student treats descriptive work as evidence, not decoration.

References

American Institute of Certified Public Accountants. (2017). Guide to audit data analytics. AICPA.

Janvrin, D. J., Raschke, R. L., & Dilla, W. N. (2014). Making sense of complex data using interactive data visualization. Journal of Accounting Education, 32(4), 31-48. https://doi.org/10.1016/j.jaccedu.2014.09.003

Richardson, V. J., Teeter, R. A., & Terrell, K. L. (2021). Data analytics for accounting (2nd ed.). McGraw Hill.

What the AC312 Unit 4 assignment asks for

AC312's fourth unit asks for descriptive statistics on the cleaned population, with interpretation. Begin with a summary table: rows, totals by transaction type, and the net that ties to the ledger. For the main transactions, report the mean, median, standard deviation, minimum and maximum. Explain what the gap between mean and median says about skew, and which statistic suits which purpose. Add a panel showing distribution by size band, with counts and dollars. Add a panel on concentration, such as the share of dollars going to the largest customers, vendors or members, and a breakdown by category. Interpret each panel for later testing. Close with a definitions section stating exactly which rows each figure counts and why some are excluded. Explain why definitions matter. Cite the course text and a visualization or analytics source in APA 7.

Inside the AC312 Unit 4 example

The sample's summary table lists rows, settlements, adjustments and the net of $186,402,118.55, then five statistics for settlements alone, including a $212,600 deferred-payment check. The highlighted sentence explains why the median describes a typical check and the mean suits cash budgeting. A paragraph interprets a standard deviation larger than the mean and warns against thresholds based only on spread. Panel 1 shows four size bands, with 4,920 checks under $1,000 holding 1.4 percent of dollars and 6,412 checks between $10,000 and $25,000 holding 49.6 percent. Panel 2 reports member concentration and the crop split of corn, soybeans and wheat, and explains what each means for later tests. The definitions section excludes adjustments from statistics and flagged rows from concentration. A closing section cites Janvrin and colleagues on presenting skewed data.

Where the points sit in the AC312 Unit 4 rubric

The AC312 grader checks that the statistics are correct and that each one counts the right rows, so the definitions section carries real weight. Reporting both mean and median, with a sentence explaining the gap, earns interpretation credit. Size bands should show both counts and dollars, since each tells a different story. A concentration measure is expected, along with a sentence on what it means for testing. Excluding credits or adjustments from averages, while keeping them in totals, shows understanding of what statistics describe. Tying the net total to the control total proves the descriptive work rests on the cleaned population. Linking the panels to later exception tests shows forward thinking. Purdue Global instructors in this course look for an analytics text cited in APA 7 behind the choices made.

AC312 Unit 4 help from the desk

Descriptive exercises often report a mean alone, which misdescribes skewed accounting data. Students mix credits with payments in averages, producing a figure that describes no real transaction. Size bands show counts but not dollars, hiding where the money is. Concentration is described in words without a figure. Statistics are given without any sentence on what they mean. The definitions are missing, so two readers could interpret the same figure differently. Totals do not tie to the control total from the cleaning step. Standard deviation is used to set thresholds for skewed data. If your population is a sales ledger, payroll or expense file, our team can prepare the statistics, panels and definitions from your cleaned data.

Get an AC312 Unit 4 example written to your instructions

Attach the cleaned file from your earlier unit, or the dataset supplied for Unit 4, with the brief and rubric. The summary table, both panels and the definitions page come back within 24-48h, along with the workbook or query behind each figure, so every count can be rerun. There is no charge for a first custom sample. 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.

More AC312 papers and BS in Accounting samples

AC312 Unit 4 questions, answered

Where can I find a free AC312 Unit 4 sample paper?

This page holds a complete AC312 Unit 4 descriptive analysis exercise for a composite grain cooperative, with a summary table, size and concentration panels, definitions and APA 7 references.

Why is the median lower than the mean in AC312 Unit 4?

A few hundred large checks, including one of $212,600, pull the mean up. Half of Plainsmark's settlements are $4,180.50 or less, so the median better describes a typical check.

Why are adjustments left out of the AC312 Unit 4 averages?

They are negative credits for discount corrections. Averaging them with checks would pull the mean down and describe no real payment, though they stay in the totals that tie to the ledger.

What does the size panel show in the AC312 Unit 4 sample?

Most checks are under $10,000, but nearly half of all dollars sit in checks between $10,000 and $25,000. Dollar-risk tests should focus there, while processing errors will show up among the many small checks.

Why does the AC312 Unit 4 sample avoid thresholds based on standard deviation?

The spread of $7,944.12 exceeds the mean, so flagging checks two deviations above it would catch ordinary large farms. Later tests set thresholds from business rules, such as the approval limit.