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Auditing: The Art and Science of Assurance Engagements
Chapter 13: Audit Sampling Concepts
Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Chapter 13 Learning Objectives
1. Define sampling. State when an auditor would use statistical rather than non-statistical sampling.
2. Explain the three different ways that an auditor can select a statistical sample.
3. Describe the 14 steps in planning and selecting a sample, performing the tests, and evaluating the sample.
13-2Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Importance of Sampling to Auditors
• The auditor doesn’t look at everything… just pieces.• The auditor CANNOT look at everything.
13-3Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Purpose of Sampling
• Sampling is a method of obtaining information that will permit an estimate of the value or quality of a population by examining only a portion of the population.
13-4Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Use of Sampling
• The nature and materiality of the balance or class of transactions does not demand a 100% audit.
• A decision must be made about the balance or class of transactions.
• The time and cost to audit 100% of the population would be too great.
13-5Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Sampling is Used to Conduct
• Walk through tests (to understand internal controls)• Tests of controls• Tests of details
13-6Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Representative Sampling
• Definition: The characteristics in the sample of audit interest are approximately the same as those of the population.
(Continued)
13-7Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Representative Sampling (Continued)
• Non-representativeness can occur due to:-Non-sampling risk: Audit test do not uncover the exceptions in the sample due to failure to recognize them, or due to ineffective procedures-Sampling risk: Results from testing less than the entire population
13-8Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Statistical Sampling
• Sampling that uses the laws of probability for selecting and evaluating a sample from a population for the purposes of reaching a conclusion about the population– selected at random– statistical calculations are used to measure and
express the results
13-9Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Statistical vs. Non-Statistical
Similarities• Both require a
structured process involving planning, selection, conducting, evaluating
• Any type can be stratified
Differences• Sampling risk can be
quantified in statistical sampling using mathematical formulae
13-10Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Non-Probabilistic (Judgmental) Sample Selection Methods
• Directed sample selection, useful for:– Items likely to contain errors– Items containing selected characteristics (e.g. old amounts– Large dollar item coverage
• Block sample selection (e.g. sequences)• Haphazard sample selection
13-11Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Probabilistic Sample Selection Methods
• Simple random sample selection• Systematic sample selection• Probability proportionate-to-size sample selection
(also known as MUS monetary unit sampling)
13-12Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Advantages of Statistical Sampling
• Provides for quantitative evaluation of the sample results.
• Provides a more defensible expression of the test results.
• Provides for more objective recommendations for management.
13-13Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Disadvantagesof Statistical Sampling
• Requires random sample selection which may be more costly and time consuming.
• Might require additional training costs for staff members to use statistics or specialized software.
13-14Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Advantages of Non-statistical Sampling
• Allows the auditor to inject his or her subjective judgment in determining the sample size and selection process to audit items of greatest value and highest risk.
• May be designed so that it is equally effective and efficient as statistical sampling while being less costly.
13-15Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Disadvantages of Non-Statistical Sampling
Disadvantages• Cannot draw objectively valid statistical inferences
from the sample results.• Cannot quantitatively measure and express sampling
risk.
13-16Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Professional Judgment Problem 13-25, p. 440
• Making decisions about sampling• Does the implementation method matter?
13-17Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Sampling Process
For both statistical and non-statistical methods, the four main parts are:
1. Planning the sample
2. Selecting the sample
3. Performing the tests
4. Evaluating the results
13-18Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
Steps in Sampling Process
• We are going to look at the fourteen steps in the sampling process, comparing the process for tests of controls versus tests of details.
13-19Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
1. State the Objectives of the Test
Test of controls:• Are the controls
applied?• Are there monetary
errors or fraud or other irregularities
Test of detail:• Auditor wants to
determine the maximum amount of overstatement and understatement that could exist based on the sample
13-20Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
2. Decide if Audit Sampling Applies
• Some controls can be sampled (e.g. is a shipping document attached?) while others cannot be (e.g. separation of duties)
• Ability to sample for test of details depends on the nature of the population (e.g. capital assets may not be sampled, depending upon volume, while A/R confirmations will be
13-21Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
3. Define Attributes and Exception or Error Conditions
Term related to planning:
Test of control (e.g. attribute sample)
Test of detail (e.g. for MUS sample)
Define the item of interest
Identify the characteristic or attribute of interest
Individual dollars
Define exceptions or errors
Define the control deviation (an exception)
Normally, any monetary difference (error)
13-22Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
3. Define Attributes and Exception or Error Conditions- Sales and A/R
Term related to planning:
Test of controls (e.g. attribute sample) Sales
Test of details (e.g. for MUS sample) Accounts Rec’bl
Define the item of interest
Are sales approved for credit?
Individual dollars
Define exceptions or errors
Sale made that causes customer balance to exceed credit limit
Confirmed amount different from amount in customer account
13-23Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
4. Define the Population
• Population can be defined in a way to suit the audit
tests.
• Must sample from the entire population as defined.
• In testing controls over sales population is likely
recorded sales invoices.
• In testing details in accounts receivable it is the
recorded dollar population.
• Most populations can be stratified, if needed.
13-24Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
5. Define the Sampling Unit
Test of controls:• Usually a physical unit,
e.g. invoice, shipping document, purchase order
Test of details:• If MUS, would be the
individual dollar• For non-statistical
sampling, it is likely the unit making up the balance, e.g. an unpaid invoice
13-25Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
6. Specify Tolerable Exception Rate (TER) or Specify Materiality
Test of controls• TER is the exception
rate the auditor will permit in the population and still be willing to use the assessed control risk
• As TER increases, the sample size decreases
Test of details• Materiality is used to
determine the tolerable misstatement amount for the audit of each account
These decisions require the use of professional judgment.
13-26Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
7. Specify ARACR or ARIA
Test of controls• Acceptable Risk of
Assessing Control Risk Too Low (ARACR) is the risk that the auditor will take of accepting controls as effective when population error rates are actually greater
Test of details• Acceptable Risk of
Incorrect Acceptance (ARIA) is the risk the auditor will take of accepting a balance as correct when the true misstatement is greater than materiality
(Continued)
13-27Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
7. Specify ARACR or ARIA (Continued)
Test of controls• Assumes TER 6%,
ARACR 10%, true error rate 8%
• True error rate exceeds TER, so population is NOT acceptable, but auditor does not know!
Test of details• If ARIA changes from
10% to 5%, sample size increases, since assurance required increases
• When controls are good (control risk is low), ARIA can be increased
13-28Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
8. Estimate Population Exception Rate or Misstatements
Test of controls• Estimated population
error rate (EPER) is an advance estimate of the percentage of exceptions in the population
• The lower the EPER, the smaller the sample size
Test of details• Provide an advance
estimate of the total dollar error (misstatements) in the population
• Use prior year data and professional judgment.
13-29Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
9. Determine the Initial Sample Size
• For non-statistical (also called judgmental) sampling,
professional judgment is used to calculate the sample
size.
• For statistical sampling, mathematical formulae are
used, either in specially prepared tables or using
software designed for audit sampling.
• For stratified sampling, the sample is allocated
among the strata.
13-30Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
10. Select the Sample
• Using the number of items determined in Step #9,
choose the items from the population using the
sampling unit defined in Step #5.
• Use probabilistic or non-probabilistic methods.
• To enable quantification of sampling risk, probabilistic
(statistical) methods must be used.
13-31Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
11. Perform the Audit Procedures
• For test of controls, examine each item for the attribute defined in Step #3, recording all exceptions found (e.g. all sales approved for credit).
• For test of details, apply the audit procedures to each item to determine whether it is correct or contains a misstatement (e.g. send and reconcile confirmations, conduct alternative procedures).
13-32Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
12. Generalize from the Sample to the Population
• For test of controls the sample error rate (SER) equals actual number of exceptions divided by actual sample size– But that is not necessarily equal to the actual
population rate: a potential range must be calculated
• In practice, auditors tend to test controls when they expect no exceptions
• Method of generalization depends on the sampling methodology used
(Continued)
13-33Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
12. Generalize from the Sample to the Population (Continued)
• When generalizing tests of details, auditors deal with
dollar amounts rather than with exceptions
• Misstatements found are projected from the sample
results to the population
• Need to consider sampling error and sampling risk
(ARIA)
13-34Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
13. Analyze Exceptions or Misstatements
Test of controls• What breakdown in
internal controls caused the exceptions? (does it affect control risk?)
• Should additional substantive testing be conducted because of these results?
Test of details• Were the misstatements
caused by control exceptions? (need to reassess control risk?
• Is additional substantive testing required?
13-35Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
14. Decide the Acceptability of the Population
Test of controls• If TER (Tolerable Error
Rate) is sufficiently larger than SER (sample error rate) will normally accept the population
Test of details• Compare the difference
between the projection to the population and materiality
• Use decision rule for statistical sampling
(Continued)
13-36Copyright © 2011 Pearson Canada Inc.
Auditing, Canadian Eleventh Edition
14. Decide the Acceptability of the Population (Continued)
What if the auditor decides the population is NOT acceptable? What to do?– 1. Revise TER (tolerable error rate), ARACR, or
ARIA (the risks of accepting incorrect populations) - not easily defensible
– 2. Expand the sample size. Will decrease the sampling error OR you could end up with
the same result.– 3. Revise assessed control risk. This will likely
mean an increase in tests of detail.– 4. Report weaknesses in management letter.
13-37Copyright © 2011 Pearson Canada Inc.