We use cookies to understand which pages and tools are useful, nothing more — no ad tracking across other sites. You can change this later from the footer.

Skip to content
Lekhya.in

Guide3 min readPublished

SA 530: what the audit sampling standard actually requires

SA 530's own requirements for designing a sample, choosing statistical or non-statistical methods, and projecting misstatements found in the sample to the population.

SA 530 requires that when audit sampling is used, the sample is designed, selected and evaluated so that every sampling unit in the population has a chance of selection and the results can be projected to the whole population — a requirement that applies equally whether the method chosen is statistical or non-statistical. The standard does not require statistical sampling; it requires that whichever method is used, the auditor can reach a valid conclusion about the population from the items actually tested.

Statistical vs non-statistical — what SA 530 actually distinguishes

Both are permitted; the difference is in how selection and evaluation work
AspectStatistical samplingNon-statistical sampling
SelectionRandom, using probability theoryJudgmental, based on auditor knowledge of the population
EvaluationQuantifies sampling risk mathematicallyRelies on auditor judgment to assess sampling risk qualitatively
When SA 530 favours itLarger, more homogeneous populations where a defensible, reproducible result mattersSmaller or stratified populations where judgment about which items carry risk adds more value than randomisation
Both are permitted; the difference is in how selection and evaluation work

Designing the sample — the required steps

  1. 01Define the population correctlyThe population must be appropriate to the specific audit objective — testing for understatement of payables from a population of recorded payables will not detect unrecorded ones; a different population (e.g. subsequent payments) is needed.
  2. 02Consider stratification or value-weighted selectionDividing a population into subpopulations with similar characteristics, or selecting in proportion to monetary value, increases the efficiency of the sample without abandoning the population-wide conclusion.
  3. 03Determine an appropriate sample sizeDriven by sampling risk the auditor is willing to accept, tolerable misstatement, and the expected misstatement in the population — not a fixed percentage applied regardless of risk.
  4. 04Select items so every unit has a chance of selectionRandom selection, systematic selection, or monetary unit sampling all satisfy this; convenience selection of whatever is easiest to pull does not.

Regulatory requirement

SA 530 requires projecting the misstatements found in the sample to the population, to get the best estimate of misstatement in the population as a whole, and comparing that projected misstatement to tolerable misstatement — the raw amount found in the sample, un-projected, is not the figure the standard requires you to evaluate.

Replacing a sample item that looks awkward to test — a missing invoice, an unusual vendor — with the next convenient item breaks the basis for projection. SA 530 requires investigating the nature and cause of items that can't be examined as originally selected, not substituting around them.

This is practical guidance written for audit teams, not an authoritative statement of any standard or statute. Standards, forms and timelines change. Check the current text issued by the ICAI and the relevant authority before relying on anything here in an audit file.

Free tools, no signup

Each one reads a file entirely in your browser — or, for two of them, just answers a few questions — and nothing is ever uploaded.