ADA Fraud Detection Analytics 1 — Questions and Answers
Question 1: What is Benford's Law primarily used for in fraud detection analytics?
- To test the statistical significance of audit samples
- To identify unusual digit frequency distributions in numerical data (Correct answer)
- To calculate the expected error rate in financial statements
- To measure the correlation between financial ratios
Correct answer: To identify unusual digit frequency distributions in numerical data
Benford's Law states that in naturally occurring numerical data, leading digits follow a predictable logarithmic distribution, and deviations from this pattern can indicate data manipulation or fraud.
Question 2: Which statistical technique is most effective for identifying transactions that fall outside normal patterns and may indicate fraud?
- Regression analysis
- Chi-square testing
- Outlier detection (Correct answer)
- Stratification
Correct answer: Outlier detection
Outlier detection identifies data points that deviate significantly from the expected distribution, making it effective for flagging potentially fraudulent transactions that fall outside normal patterns.
Question 3: What does a 'ghost employee' scheme in payroll fraud typically involve?
- Employees clocking in for absent coworkers
- Payroll payments made to fictitious or terminated employees (Correct answer)
- Employees receiving unauthorized overtime pay
- Managers approving their own expense reports
Correct answer: Payroll payments made to fictitious or terminated employees
Ghost employee schemes involve creating fictitious employees or retaining terminated employees in the payroll system to divert unauthorized payments to the fraudster.
Question 4: Which analytical technique compares actual financial results against established expectations to identify potential fraud indicators?
- Horizontal analysis
- Variance analysis
- Expectation-based analysis (Correct answer)
- Ratio analysis
Correct answer: Expectation-based analysis
Expectation-based analysis establishes what results should look like based on historical trends, budgets, or industry benchmarks, and flags deviations that may indicate fraudulent activity.
Question 5: In fraud detection analytics, what does 'transaction velocity' testing examine?
- The speed at which financial reports are produced
- The frequency and volume of transactions within a given time period (Correct answer)
- How quickly auditors can process large data sets
- The rate of change in account balances quarter-over-quarter
Correct answer: The frequency and volume of transactions within a given time period
Transaction velocity testing examines the frequency and volume of transactions over time, helping detect unusual spikes or patterns that may indicate fraudulent activity such as credit card fraud or expense abuse.
Question 6: Which type of financial statement fraud involves recording revenues before the earnings process is complete?
- Premature revenue recognition (Correct answer)
- Round-tripping
- Accounts payable manipulation
- Inventory write-down fraud
Correct answer: Premature revenue recognition
Premature revenue recognition is a form of financial statement fraud where revenues are recorded before they are earned, artificially inflating reported income in the current period.
Question 7: What is the primary purpose of duplicate payment analysis in accounts payable fraud detection?
- To identify payments made to unauthorized vendors
- To detect instances where the same invoice or payment was processed more than once (Correct answer)
- To verify that payment amounts match original purchase orders
- To confirm that vendor banking details are current and accurate
Correct answer: To detect instances where the same invoice or payment was processed more than once
Duplicate payment analysis examines accounts payable records to identify cases where the same invoice has been paid multiple times, which may indicate error or intentional fraud to divert funds.
ADA Fraud Detection Analytics 1
What is Benford's Law primarily used for in fraud detection analytics?