Multiple Choice Questions:
1. Which of these must apply to fraud indicators?
a. Be defined in terms of one factor.
b. Be defined in terms of at least one factor.
c. Be defined in risk terms rather in terms of factors.
d. None of the above.

2. Discovery sampling is a statistical technique that does which of these?
a. Always detects fraud.
b. Sometimes detects errors.
c. Always detects errors or fraud.
d. None of the above.

3. What general source of data does not apply to data-driven fraud detection?
a. Reconciliation figures.
b. Batch control totals.
c. Missing invoices.
d. All of the above apply.

4. Which of the following statements is true with respect to data mining?
a. Exploration comes before sampling.
b. Sampling comes before modeling.
c. Assessment comes before exploration.
d. None of the above.

5. Which of the following types of data would not be useful for social networking? Analysis?
a. Phone records.
b. Membership records for boards of directors for various companies.
c. Employment records containing lists of past employers.
d. None of the above.

6. Which of the following techniques/approaches would likely be most useful in determining whether a particular invoice is fraudulent?
a. Benford’s law.
b. Text analysis.
c. Social networking.
d. None of the above.