Benford

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School

Central Michigan University *

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Course

370S

Subject

Accounting

Date

Jan 9, 2024

Type

docx

Pages

2

Uploaded by ChiefSardine894

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Question 1: Make a snip of the first digit test chart and paste it into your Word document. From looking at the chart, does the salary data fit the Benford frequencies? Are there any digits that deviate from the Benford distribution? What level of risk do you see in the data—high, medium or low? - For the most part I think the chart demonstrates Benfords law pretty well. The digit 9, is the one that kind of throws off the data. I would say that the risk is low to medium in this case. Question 2: Now delete any previous values in sheet 1 and enter 50 made-up numbers by keying in numbers from the keypad (numbers must be at least two digits). If you prefer, you may use a function to generate random numbers. Run the Benford analysis macro again and paste a snip of sheet 2 (the first digit test) into your word document. Can you tell the numbers are made up? Do they match a Benford distribution? If you were an auditor and you received these numbers from a client, how would you rate the inherent risk that these numbers are invalid? Do you think Benford’s law can help auditors spot risk in accounting data? 1
You can definitely tell the numbers are made up in this case as they do not follow the distribution at all. I would say the risk is pretty high that these numbers are not valid. I think Benford’s law can be super helpful in spotting risk in accounting data as long as the fraudulent actions were not strategically done to avoid suspicion. 2
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