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Microlesson · 5-min read

SA 530 – Sample Selection Methods: Stratified, Block, Systematic/Interval

## SA 530: Sample Selection Methods

Once the auditor decides to use audit sampling, they must choose a method to select items. Different methods suit different audit objectives.

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### 1. Stratified Sampling

How it works:

  • Divide the population into separate groups ('strata') based on a common characteristic (e.g., value range)
  • Treat each stratum as a separate sub-population
  • Select a sample from each stratum (often at different rates)

When to use: When the population is heterogeneous and higher-value items need more scrutiny.

Example: Trade receivables split into: >₹20L | ₹10–20L | <₹10L → different sample % from each group.

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### 2. Block (Cluster) Sampling

How it works:

  • Select a contiguous block of items from the population
  • E.g., first 200 invoices of the month, or 50 consecutive cheques

Limitation: Items within a block usually share similar characteristics; unusual or diverse transactions in other parts of the population are excluded. Provides a poor basis for opinion on the overall population.

When to use: Generally discouraged as a standalone method; acceptable only when the auditor has a specific reason to examine a particular period or sequence.

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### 3. Systematic (Interval) Sampling

How it works:

  • Divide population size by sample size → sampling interval
  • Select every n-th item starting from a random starting point

Formula: Sampling Interval = Population ÷ Sample Size

Example: 1,000 records ÷ 100 = interval of 10 → select records 1, 11, 21, 31…

Key precaution: Ensure the population is not structured so that the interval coincides with a recurring pattern (e.g., if every 10th transaction is a month-end journal, all selected items would be journal entries).

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### Comparison Table

MethodPopulationAdvantageLimitation
StratifiedHeterogeneous, value-basedFocus on risky strataRequires classification effort
BlockAnySimple, fastNot representative of whole population
Systematic/IntervalLarge, homogeneousScientific, easy to applyRisk of pattern coincidence

Worked example

### Example 1

Stratified Sampling: Auditor divides trade receivables: >₹20L, ₹10–20L, <₹10L and selects 30%, 20%, 5% respectively from each group. The higher-value stratum gets proportionally more testing without requiring 100% check of all items.

Block Sampling: Auditor selects 50 consecutive cheques to test authorised signatories. This is block sampling — while convenient, those 50 cheques all come from one period and may miss anomalies from other months.

Systematic Sampling (Software Example): Software fields show: Records to select = 100, Starting record = 1, Ending record = 1000. Interval = 1000 ÷ 100 = 10. Software picks records: 1, 11, 21, 31… every 10th record. Precaution: ensure records are not organised so that every 10th entry is always a salary payment or month-end entry.

⚠️ Common exam mistakes

  • Confusing stratified sampling with systematic sampling — stratified divides by characteristic (value bands), systematic divides by interval.
  • Using block sampling and projecting results to the whole population — block samples are not representative and cannot support broad population conclusions.
  • Forgetting the pattern-coincidence risk in systematic sampling — if the population has a periodic structure matching the interval, the sample will be biased.
  • Thinking stratification changes the total sample size — it changes the distribution across sub-groups, not necessarily the overall count.
Reference: Sample Selection Methods — SA 530 – Audit Sampling
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