
Practical Sampling Techniques for Reliable and Evidence-Based Audits
Created by SF Trainings Team
This course provides a practical understanding of audit sampling methods in accordance with ISO 19011:2018 and explains how auditors can select appropriate samples when reviewing large volumes of records, transactions, processes, activities, or locations.
Learners will explore different sampling approaches, including judgement-based and statistical sampling, and understand how each method can be applied depending on the audit objectives, scope, criteria, available resources, and level of risk.
The course also explains how factors such as population size, process complexity, previous audit findings, identified risks, and available audit time can influence sample selection and sample size. Learners will understand how to choose representative samples while minimizing bias.
Practical guidance is provided on how auditors should respond when sampled evidence reveals inconsistencies, deviations, or nonconformities. Learners will understand when it may be necessary to expand the sample or investigate additional records and activities.
The course emphasizes objectivity, professional judgement, evidence-based decision-making, and documentation of sampling methods. It also highlights the limitations and uncertainty associated with audit sampling.
By the end of the course, learners will be able to apply appropriate sampling techniques to collect sufficient and reliable audit evidence and support accurate, consistent, and defensible audit findings and conclusions.
You will learn to:
Audit Sampling Fundamentals
Understand why sampling is used to collect reliable audit evidence efficiently.
Sampling Methods
Differentiate between judgement-based and statistical sampling approaches.
Sample Selection
Learn how to select representative records, activities, processes, transactions, and locations.
Risk-Based Sampling
Apply risk-based thinking to focus sampling on significant and higher-risk areas.
Sample Size Decisions
Understand how population size, complexity, risk, and audit objectives influence sample size.
Avoiding Sampling Bias
Recognize and reduce bias when selecting audit samples.
Evidence Evaluation
Assess whether sampled information provides sufficient and appropriate audit evidence.
Expanding the Sample
Identify when inconsistencies or nonconformities require additional sampling.
Audit Trail Sampling
Use sampling techniques effectively while following audit trails across processes and records.
Sampling Documentation
Record sampling methods, selected samples, and relevant evidence clearly and consistently.
Professional Judgement
Apply auditor judgement when selecting and evaluating audit samples.
Reliable Audit Conclusions
Use sampling results to support accurate, objective, and defensible audit findings and conclusions.
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