Easy2 marksMultiple Choice
Audit EvidenceAudit SamplingStratificationISA 530Syllabus Area D

ACCA · Question 13 · Audit Evidence

SECTION A - CASE 3: AQUAPURE UTILITIES

AquaPure Utilities is a highly regulated public utility company managing water and waste services. You are auditing the financial statements for the year ended 31 March 20X6.

During the audit, you note the following:

  1. AquaPure has a large internal audit (IA) department that recently completed a review of the procurement controls.
  2. The billing system is highly automated, generating millions of micro-invoices based on smart meter readings.
  3. The company owns a vast network of underground water pipes, which are difficult to physically verify.
  4. You plan to use substantive analytical procedures to audit water revenue.

Question:
When sampling the underground water pipes for impairment testing, the auditor divides the pipes into groups based on their age (e.g., 0-10 years, 11-20 years, 20+ years). What is this sampling technique called, and what is its main benefit?

Answer options:

A.

Systematic sampling; it ensures every nth pipe is selected.

B.

Random sampling; it eliminates all audit risk.

C.

Stratified sampling; it reduces variability within subpopulations, potentially reducing sample size.

D.

Block sampling; it allows the auditor to test pipes in the same geographic location.

How to approach this question

Identify the technique of dividing a population into sub-groups based on a characteristic (age). This is stratification. Its purpose is to focus testing on higher-risk areas (older pipes) and reduce overall sample size.

Full Answer

C.Stratified sampling; it reduces variability within subpopulations, potentially reducing sample size.✓ Correct
Stratified sampling involves dividing a population into discrete sub-populations (strata) which have an identifying characteristic (in this case, age). The main benefit is that it reduces the variability of items within each stratum, which can allow the auditor to reduce the sample size without increasing sampling risk.

Common mistakes

Confusing stratification with block sampling or systematic sampling.

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