Free Online Audit Sampling Tool


Inherent Risk Factors and Confidence Levels

FS \ Assertion LevelLMH
L1.21.41.6
M1.41.82.1
H1.62.12.5
Table of Inherent Risk Factor extracted from the Audit Practice Manual 2024 issued by HKICPA
Lambda (λ)1.21.41.61.82.12.53.0
Confidence Level (%)69.88175.34079.81083.47087.75491.79295.021
Lambda Mean in Poisson Distribution and Confidence Level for Monetary Unit Sampling
Z-score1.21.41.61.82.12.53.0
Confidence Level (%)88.49391.92494.52096.40798.21499.37999.865
Z-score in Normal Distribution and Confidence Level for Random Sampling

Guidelines

Simply paste ledger data from Excel to automate Monetary Unit Sampling (MUS) and Random Sampling. Calculate performance materiality, calculate sample sizes, select items, and evaluate misstatements instantly based on HKICPA Audit Practice Manual (APM) sampling requirements.

NOTE THAT this statistical sampling tool is designed for Variable Sampling (Values) purposes. Users are responsible for ensuring the appropriateness of sampling parameters for their specific audit engagement. All data processing runs exclusively within your local browser environment. We do not collect or store any of your client information.



Best for Directional Testing of Overstatement (Existence/Occurrence). MUS automatically stratifies the population by giving larger dollar items a higher chance of selection. It is highly effective for testing assets and expenses.


Best for Directional Testing of Understatement (Completeness) or when the population has many zero/negative balances. Use this when you need to ensure every physical transaction has an equal chance of selection, regardless of its monetary value (e.g., testing liabilities and revenue).


For TOC, use Attribute Sampling. Sample sizes for TOC are generally fixed based on control frequency (e.g., Daily = 25-40, Monthly = 2-5). If a single deviation is found, the control is usually considered ineffective unless the sample is expanded.


Best for Quantity Count of Physical Inventory. Systematic sampling involves selecting a starting point and then picking every n-th item (e.g., every 10th pallet or every 5th row).

  • Step 1: Determine the sampling interval (Total Inventory Items / Desired Sample Size);
  • Step 2: Select a random starting point within the first interval; and
  • Step 3: Select every n-th item thereafter to ensure the entire stock list is covered.


Performance Materiality = Overall Materiality / Inherent Risk Factor


  • Test of Details Only
  • Sampling Risk Factor = Inherent Risk Factor

  • Test of Details + Substantive Analytical Procedures OR Test of Controls
  • Sampling Risk Factor = Inherent Risk Factor x 2 / 3

  • Test of Details + Substantive Analytical Procedures + Test of Controls
  • Sampling Risk Factor = Inherent Risk Factor / 2


Sample Size = Book Value / Performance Materiality x Sampling Risk Factor

Actual Sample Size = Sample Size + No of Items Above Performance Materiality


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Audit Sampling Tool | Version 26.1.1