1. Completing the Tests in the Sales and Collection Cycle: Accounts Receivable

2. Designing Tests of Details of Balances
Audit Risk Model
Thus need to consider
Inherent risk
Control risk
Detection risk
Audit risk

3. Types of Audit Tests and Audit Risk Model
Sufficient Appropriate Audit Evidence
Audit Risk = =
Risk Assessment Procedures
Inherent Risk + x
Procedures to understand internal control +
Control Risk
Test of control + x
Analytical Procedures +
Detection Risk
Test of details

4. The Audit of Accounts Receivable
Set materiality.
Assess Audit Risk for A/R.
Conduct analytical procedures for planning purposes
Assess Control Risk for sales and collections cycle
Identify assertions where substantive testing is insufficient, and/or there is risk of material misstatement
Design and perform test of control. Assess control risk
Design and perform analytical procedures as substantive tests for accounts receivable balance.
The type of audit procedures?
What is the sample size?
Items to be selected?
Timing – when to do the procedures?
Design tests of accounts receivable balance to satisfy balance-related audit objectives.

5. Effects of Inherent and Control Risks
High Inherent or Control Risk
Greater chance of missing material misstatement
Thus a lot of substantive
testing
Low Inherent or Control Risk
Material misstatement will be caught by the system
Thus substantive
testing can be reduced, but not eliminated

6. Materiality Considerations
Accounts receivable may be one of the largest amounts on the balance sheet.
Sales and accounts receivable balances are normally significant.

7. Inherent Risk Considerations
Inherent risk tends to be moderate to low for all assertions
What are the risk associated with Accounts Receivable?
High risk areas:

8. Balance-Related Audit Objectives
Help auditor decide appropriate audit evidence
Accounts receivable exist
Accounts receivable are owned and have not been sold or discounted
There are no unrecorded accounts receivables
Stated at NRV
Accounts receivable are appropriately recorded and disclosed
Properly classified
Aged trial balance agrees with the general ledger
Accounts receivable are recorded in the correct period

9. Disclosure-Related Audit Objectives
Presentation and disclosure in the financial statements
Accounts receivable transactions actually occurred
Accounts receivable are amounts collectible by the client
Disclosures for accounts receivables are fully included
Accounts receivable in the financial statements are materially correct
Shown at amounts that are collectible
Correctly shown as current and long-term
Both financial and non-financial is clearly disclosed

10. Accounts Receivable Balance-Related Audit Objectives
Relationship Between Transaction-Related and Balance-Related Audit Objectives
Accounts Receivable Balance-Related Audit Objectives
Class of Transactions
Transaction-Related Audit Objectives
Existence
and Obligations
Rights
Completeness
Accuracy
Valuation
Classification
Detail Tie-in
Cut-off
Sales
Occurrence x
Posting and summarization
Timing
Cash Receipts

11. Occurrence transaction-related audit objective for sales and the Existence balance-related audit objective
For sales, the audit objective occurrence shows that
For accounts receivable, the audit object of existence shows that
From the point of control risk
If auditor concludes that control risk over sales is low
Also, by performing accounts receivable confirmations

12. Completeness transaction-related audit objective for cash receipts and the Existence balance-related audit objective
For cash receipts the audit objective completeness shows that
For accounts receivable the audit object shows that
From the point of control risk
If auditor concludes that control risk over cash receipts is low
Thus by performing subsequent payments

13. Analytical Procedures
Analytical procedures are important
But remember that analytical procedures are used during three main phases of the audit:
Planning
As part of substantive testing
As part of completing the audit engagement

14. Using Analytical Review to Target Detailed Tests
Helpful analyses could include comparing:
Sales by month
Sales returns and allowances
Individual customer balances
Bad debt expense to gross sales
Number of days in A/R
Aging categories
Allowance for uncollectible accounts
To what would these items be compared?
What is the auditor looking for?

15. The Audit Objective and the Audit Procedure
Existence and accuracy:
Confirm accounts receivable balances
performing alternative procedures for discrepancies and non-replies.

16. Rights and obligations:
Could also say the ownership of the asset
But what is done about pledged or factored accounts receivable?

17. Valuation:
What is the important valuation account in relation to accounts receivable?
Thus pertinent procedures for valuation?

18. Completeness:
Classification:

19. Presentation and disclosure:
Cut-off:
Select the last 40 sales transactions from the current year’s sales journal and the first 40 from the subsequent year’s
Detail tie-in:
Foot the customer master file
Presentation and disclosure:
Ensure full and complete disclosure in the financial statements

20. The Power of Confirmations
A very important audit procedure
McKesson & Robbins 1937
Useful for existence
A/R confirmations come in two forms:
Negative
Positive

21. Positive vs. Negative Confirmations
Positive confirmations
A more reliable form of evidence for A/R
if not answered
When are they used?
Individual balances are
And/or .

22. ABC Company Letterhead
1234 Main Street
Winnipeg, Manitoba
R3R 3R3
15 January, 201Y
To Whom it May Concern:
Please examine the accompanying statement carefully and either confirm its correctness or report any differences directly to our auditors
Black & White, LLP
P.O. Box 789
Hamilton, Ontario
L8C 2H5
Your prompt attention to this request will be appreciated. An stamped envelope is enclosed for your reply.
Sincerely,
…………………………………… Jean Fellows, Controller
Confirmation
The balance receivable from us for $2, as of December 31, 201X is correct except as noted below:
___________________________________________________________________________________________________________
Date ………………………………………. By …………………………………………..

23. Negative confirmations Failure to reply
Negative confirmation requires a response only if there is a discrepancy.
When are they used?

24. ABC Company Letterhead
1234 Main Street
Winnipeg, Manitoba
R3R 3R3
15 January, 201Y
To Whom it May Concern:
Please examine the accompanying statement. If it does NOT agree with your records, please report any differences directly to our auditors
Black & White, LLP
P.O. Box 789
Hamilton, Ontario
L8C 2H5
Your prompt attention to this request will be appreciated. An stamped envelope is enclosed for your reply. Please do not send your payments to the auditors.
Sincerely,
…………………………………… Jean Fellows, Controller
Differences
___________________________________________________________________________________________________________
Date ………………………………………. By …………………………………………..

25. Controlling and Managing the Confirmation Process
Look at the following points:
Controlling the sending of confirmations
Procedures for those accounts the client does not want confirmed
Handling returned confirmations
Timing of alternative procedures and second requests

26. 1. Controlling the Sending of Confirmations
The client may assist in preparing the confirmations
If the client stuffs and stamps the envelopes
Return envelopes

27. 2. Procedures for those Accounts the Client does not want Confirmed
If it has been selected by the auditor

28. 3. Handling Returned Confirmations
Confirmations should be returned directly
Differences between the client’s records and the confirmation reply

29. Types of differences between client and customer
Differences between the client records and the confirmation could be due to:
Payment already made by the client
Goods were not received
Goods were returned
Amounts are in dispute

30. 4. Timing of alternative procedures and second requests
Second requests can be sent
Control of such follow-up requests
Alternative procedures

31. Nature of Alternative Procedures
Review of subsequent cash receipts
Examination of duplicate sales invoices
Examination of shipping documentation
Review of correspondence between the client and the customer

32. Sampling and Accounts Receivable
Sampling is always used to determine which accounts receivable will be selected
Statistical sampling could be used to select accounts receivable for confirmation
Or directed sampling

33. How Does Monetary Unit Sampling Work?
Auditors use monetary unit sampling, also called probability-proportional-to-size or dollar-unit sampling, to determine the accuracy of financial accounts. With monetary unit sampling, each dollar in a transaction is a separate sampling unit. A transaction for $40, for example, contains 40 sampling units. Auditors usually use monetary unit sampling to sample and test accounts receivable.
Here’s an example of how monetary unit sampling works The audit client’s accounts receivable book value is $300,000, and the sample size is set at 96 records.
Figure the sampling interval by dividing book value by sample size
(300,000/96) = 3125
Arrange the client’s accounts receivable in an ordered list using some sort of ordering sequence.
For example, you can arrange them alphabetically by customer name or numerically by customer number.
Pick a random number between 1 and 3,125.
For this method to work correctly, the random number has to be less than the sampling interval and greater than the smallest sampling unit. Auditors usually use a random-number-generator computer program to pick the random number. The sampling unit and sampling interval limits are programmed into the software before the task is run. In this case, say the software selects the random number 556.
Monetary Unit Sampling Table
Customer Name
Customer Balance
Cumulative Balance
Sampling Item
ABC Electric
$435
Best Friend Cat Care
$785
$1,220
(1) $556
Brandy’s Grill
$1,510
$2,730
Buddy’s Gas Station
$5,000
$7,730
(2) $556 + $3,125 = $3,681

34. First, pick the records to test: Take the alphabetically ordered list shown in the Customer Name column, which lists every customer balance by dollar amount, and count each dollar until getting to $556. The random number generator gives the number 556 in Step 3 in the previous slide. The cumulative dollar amount for ABC Electric is under $556.
That shows that the first sampling item is Best Friend Cat Care, which at a cumulative total of $1,220 is the first customer in the list with a cumulative balance over $556. Best Friend Cat Care becomes the first customer in the sample.
Secondly, select the next invoice to sample: Add the sampling interval of $3,125 to the random number of $556. This equals $3,681, which is the next sampled item dollar amount. Brandy’s Grill at $2,730 cumulatively is under $3,681, thus Brandy’s is skipped. Buddy’s Gas Station has the 3,681st dollar.
To pick the next sampling item: Add the sampling interval of $3,125 to the prior sampling item of $3,681, which equals $6,806, and so on until the last name in the customer list is reached. This will give the total sample size of 96.
When sampling, misstatements are being looked for. If a selected customers invoice should have been entered for $986, for example, and it was entered as $896, there is a misstatement. If the total misstatements exceed the tolerable level, there may be a material misstatement.

35. Problem 13-25, p. 446
You have been assigned to the confirmation of aged accounts receivable for the audit of Blank Paper Company Ltd. You have tested the trial balance and selected the accounts for confirmation. Before the confirmation requests are mailed, the controller asks to look at the accounts you intend to confirm in order to determine whether she will permit you to send them.
She reviews the list and informs you that she does not want you to confirm six of the accounts on your list. Two of them have credit balances, one has a zero balance, two of the other three have a fairly small balance, and the remaining balance is highly material. The reason she gives is that she feels the confirmations will upset these customers because they are “kind of hard to get along with.” She does not want the credit balances confirmed because it may encourage the customers to ask for a refund.
In addition, the controller asks you to send an additional 20 confirmations to customers she has listed for you. She does this as a means of credit collection for “those who won’t know the difference between a public accountant and a credit collection agency.”
REQUIRED:
Is it acceptable for the controller to review the list of account you intend to confirm? Discuss.
Discuss the appropriateness of sending 20 additional confirmations to the customers.
If the auditor complies with the controller’s request, what additional audit work is required?
Assuming the auditor complies with all of the controller’s requests, what is the effect on the auditor’s opinion?

36. Problem 13-28, p. 447
You intend to use MUS as a part of the audit of several accounts for Roynpower Manufacturing Inc. You have done the audit for the past several years, and there has rarely been an adjusting entry of any kind. Your audit tests of all tests of controls for the transaction cycles were completed at an interim date, and control risk has been assessed as low. You therefore decide to use an ARIA of 10 percent for all tests of details of balances. You intend to use MUS in the audit of three of the most material asset balances: accounts receivable, inventory, and marketable securities. You feel justified in using the same ARIA for each audit area because of the low assessed control risk. The recorded balances and related information for the three accounts are as follows:
Recorded Value
Accounts receivable
$3,600,000
Inventory
4,800,000
Marketable securities
1,600,000
$10,000,000
Net earnings before taxes for Roynpower are $2,000,000. You decide that materiality will be $100,000 for the client

37. The audit approach will be to determine the total sample size needed for all three accounts. A sample will be selected from all $10 million, and the appropriate testing for a sample item will depend on whether the item is a receivable, inventory, or marketable security. The audit conclusions will pertain to the entire $10 million, and no conclusion will be made about the three individual accounts unless significant misstatements are found in the sample.
REQUIRED
Evaluate the audit approach of testing all three account balances in one sample.
Calculate the required sample size for each of the three accounts assuming you decide that the tolerable misstatement in each account is $100,000. (Recall that tolerable misstatement equals preliminary judgement about materiality for MUS.)
How would you identify which sample item in the population to the audit for the number 4,627,817? What audit procedures would you perform?
Assume you select a sample of 100 sample items for testing and you find one misstatement in inventory. The recorded value is $987.12, and the audit value is $ Calculate the misstatement bounds for the three combined accounts, and reach the appropriate audit conclusions.

38. Some Key Terms for Testing Balances
Estimated Population Error
Expected Population Error Rate
A judgmental estimate based on knowledge of client.
Used to determine appropriate sample size.
Low Error => low sample size
As Expected Error approaches Tolerable misstatement, more precision is needed and larger sample size is needed.
Acceptable Risk of Incorrect Acceptance
ARIA
The risk that the auditor is willing to take of accepting a balance as correct when the true misstatement is greater than the tolerable misstatement.
In other words it could be materially misstated
ARIA is equivalent to ARACR
ARACR is the risk the auditor is willing to take of accepting a control as effective (or monetary amount as tolerable) when the true population exception rate is greater than TER.
Again, materially misstated
ARIA is inversely related to sample size
Tolerable Misstatement
TER on the tables
The misstatement that the auditor will permit in the population before concluding that the balance is materially misstated.
Result of auditor judgment.

39. Tolerable Exception Rate / Tolerable Misstatement
Estimated Population Deviation Rate (EPDR)
(in percentage)
Tolerable Exception Rate / Tolerable Misstatement 2 3 4 5 6 7 8 9 10 15 20
5-Percent ARIA
0.00
149 99 74 59 49 42 36 32 29 19 14
0.25
236
157
117 93 78 66 58 51 46 30 22
0.50 .
0.75
208
1.00
156
1.25
124
1.50
192
103
1.75
227
153 88 77
2.00
181
127 68
2.25 61
2.50
150
109
2.75
173 95
3.00
195
129 84
3.25
148
112
3.50
167 76 40
3.75
185
100
4.00
146 89
5.00
158
116
6.00
179 50
7.00 37

40. EPDR 2 3 4 5 6 7 8 9 10 15 20
10–Percent ARIA
0.00
114 76 57 45 38 32 28 25 22 11
0.25
194
129 96 77 64 55 48 42 18
0.50
0.75
265
1.00 .
176
1.25
221
132
1.50
105
1.75
166 88
2.00
198 75
2.25 65
2.50
158
110 58
2.75
209 94 52
3.00
3.25
153
113 82
3.50 73
3.75
131 98
4.00
149
4.50
218
130 87 34
5.00
160
115 78
5.50
142
103
6.00
182
116
7.00
199
7.50
8.00 60
8.50 68
Tolerable Misstatement

41. Misstatement / Recorded Amount (c/a)
Solution The audit approach of testing all three account balances is acceptable. This approach is also desirable when the following conditions are present:
The auditor can obtain valid, reliable information to perform the required tests in all of the areas.
Internal control for each of the three areas is comparable.
Misstatements are expected to occur evenly over the entire population. For instance, the auditor does not expect a large number of misstatements in accounts receivable and very few, if any, in inventory.
The required sample sizes if each account is tested separately are:
Account
Tolerable Misstatement as a %
Approximate Sample Size (Table 14-9)
Accounts receivable
n = 100,000 / 3,600,000 = 0.028 76
Inventory
n = 100,000 / 4,800,000 = 0.021
114
Marketable securities
n = 100,000 / 1,600,000 = 0.063 38
The population would be arranged so that all accounts receivable would be first, followed by inventory and marketable securities. The items would be identified by the cumulative totals. In the example, the number 4,627,871 would relate to an inventory item since it is between the cumulative totals of $3,600,000 and $8,400,000. Accordingly, for this number the inventory audit procedures would be performed.
The misstatement data are as follows:
Recorded Amount
(a)
Audited Amount
(b)
Difference
(c)
Misstatement / Recorded Amount (c/a)
$987.12
$887.12
$100.00
10.1%
Now need to extend the misstatement to the population.
Do this by calculating the Upper and Lower limits, not a point estimate.

42. Generalizing Misstatements to the Population
The auditor wants to determine the maximum amount of overstatements and understatements
While still providing a sample with no misstatements
In other words, the auditor did not miss any misstatements in the sample
These are the upper misstatement bound and the lower misstatement bound
Use the Upper & Lower Misstatement Limits tables for 5% or 10% ARIA and the number of misstatements
In this example there is one misstatement and the sample size is 114
From the table at an ARIA of 10% on slide 46
The percentage is between 3.8% (Note for future = 3.8) and 3.2% ( )
See next slide for the calculation. Calculated percentage = 3.38%
This percentage represents both upper and lower bounds as a percentage
Based on this:
At a 10% sampling risk, there are no more than 3.38% of the dollar units in the population that are misstated.
The auditor must make an assumption about the average percent of misstatement for population dollars that contain a misstatement, but which the auditor has not examined.
i.e. what is the average misstatement rate for those items that contain a misstatement
This called the Percent of Misstatement Assumption, see Slide 46
In our example the misstatement rate for one misstatement in 10.1% - see previous page.
The auditor is trying to estimate it for those misstatements not found.
This estimate significantly affects the misstatement bounds

43. Generalizing from the Sample to the Population
Calculating Misstatement Percentage
Sample size for inventory was 114
Actual number of deviations was 1
ARACR is 10%
From table on page 45, Misstatement Percentage = between 3.8 an 3.2
Sample size of 100 = % of 3.8
Sample size of 120 = % of 3.2
Thus a sample size of 114:
100 = 3.8
114 = x
120 = 3.2
Thus (114 – 100)/(120 – 100) = (x – 3.8)/3.2 – 3.8
x = 3.38
This percentage can be used in calculating the upper and lower bounds (i.e. $ balances)
But note in our example, Part d, we are using a sample size of 100. Thus we will use 3.8%

44. ACTUAL NUMBER OF DEVIATIONS FOUND 1 2 3 4 5 6 7 8 9 10
SAMPLE SIZE
ACTUAL NUMBER OF DEVIATIONS FOUND 1 2 3 4 5 6 7 8 9 10
5 PERCENT RISK OF OVER RELIANCE 25
11.3
17.6 . 30
9.5
14.9
19.5 35
8.2
12.9
16.9 40
7.2
18.3 45
6.4
10.1
13.3
16.3
19.2 50
5.8
9.1
12.1
14.8
17.4
19.9 55
5.3
8.3
11.0
13.5
15.9
18.1 60
4.9
7.7
12.4
14.6
16.7
18.8 65
4.5
7.1
9.4
11.5
15.5
19.3 70
4.2
6.6
8.7
10.7
12.6
14.4
16.2
18.0
19.7 75
3.9
6.2
10.0
11.8
15.2
18.4
20.0 80
3.7
11.1
12.7
14.3
15.8
17.3 90
3.3
5.2
6.8
8.4
9.9
14.1
16.8
100
3.0
4.7
7.6
8.9
10.2
14.0
16.4
125
2.4
6.1
9.3
10.3
12.2
13.2
150
2.0
3.1
4.1
5.1
6.0
6.9
8.6
200
1.5
2.3
3.8
6.5

45. 1 2 3 4 5 6 7 8 9 10 Sample size ACTUAL NUMBER OF DEVIATIONS FOUND .1 2 3 4 5 6 7 8 9 10
10 PERCENT RISK OF OVER RELIANCE 20
10.9
18.1 . 25
8.8
14.7
19.9 30
7.4
12.4
16.8 35
6.4
10.7
14.5 40
5.6
9.4
12.8
15.9
19.0 45
5.0
8.4
11.4
14.2
17.0
19.6 50
4.5
7.6
10.3
12.9
15.4
17.8 55
4.1
6.9
11.7
14.0
16.2
18.4 60
3.8
6.3
8.6
10.8
14.9
16.9
18.8 70
3.2
5.4
9.3
11.1
14.6
17.9
19.5 80
2.8
4.8
6.5
8.3
9.7
11.3
14.3
15.7
17.2
18.6 90
2.5
4.3
5.8
7.3
8.7
10.1
12.7
15.3
16.6
100
2.3
5.2
6.6
7.8
9.1
11.5
13.8
15.0
120
1.9
4.4
5.5
9.6
10.6
11.6
12.5
160
1.4
2.4
3.3
4.9
5.7
7.2
8.0
9.5
200
1.1
2.6
4.0
4.6
7.0

46. Appropriate Percent of Misstatement Assumption
This is an auditor decision
Most auditors assume that it is desirable to assume 100% for both overstatements and understatements
Using MUS, upper and lower misstatement bounds are used rather than maximum likely misstatement attached to a confidence level
In other words, the misstatement is likely somewhere in between the max and the min
The following example uses 50% instead of 100%
The single overstatement percentage amount for this problem is 10.% as calculated below
Recorded Amount
Audited Amount
Difference
Misstatement / Recorded Amount
$987.12
$887.12
$100.00
10.1%

47. Note that there may be both overstatements and understatements in the population. Thus the following tables look at the Precision Limits for both over and understatements. Also remember that there was only one misstatement found, and this was an overstatement.
Number of Misstatements
(1)
Upper Precision Limit Portion
(2)
Recorded
Value
(3)
Misstatement Unit Error Assumption (4)
Bound Portion
2x3x4
Overstatements
0.023
10,000,000
0.50
115,000 1
0.015
0.101
15,150
Upper Precision Limit
0.038
Initial Misstatement Bound
130,150
Number of Misstatements
(1)
Upper Precision Limit Portion
(2)
Recorded
Value
(3)
Misstatement Unit Error Assumption (4)
Bound Portion
2x3x4
Understatements
0.023
10,000,000
0.50
115,000
Upper Precision Limit
Initial Misstatement Bound
Also remember in this example the auditor makes the assumption that the average percent of misstatement for population dollars that contain a misstatement is a 50% misstatement unit error. These will be items that the auditor has not examined.

48. There must be adjustments made to the over and understatement bounds because an understatement offsets and over statement, and vice-versa
Number of Misstatements
Misstatement Unit Error Assumption
(a)
Sample Size
(b)
Recorded Population
(c)
Point Estimate
a(c/b)
Bounds
Initial Overstatement Bound
130,150
Understatement Misstatements
Adjusted Overstatement Bound
Initial Understatement Bound
115,000
Overstatement Misstatements 1
0.101
100
10,000,000
10,100
(10,100)
Adjusted Understatement Bound
105,000
Thus the likely misstatement is between $105,000 and $130,050. Since materiality is $100,000, more work needs to be done

49. Misstatement Percentage
Another example
Assume that there are the following misstatements with a sample size of 100 and an ARIA of 10%
Recorded Amount
(a)
Audited Amount
(b)
Misstatement
(c)
Misstatement Percentage
c/a
100.00
1.0%
10.00
0.3%
(100.00)
4.6%
65.43
64.53
0.90
1.4%
775.45
757.45
18.00
2.3%

50. Note in the following table, the conservative approach is to associate the lowest misstatement limit (2) portion with the highest misstatement unit error (4) .The amount of error is thus maximized
Overstatements
Number of Misstatements
(1)
Upper Precision Limit Portion
(2)
Recorded
Value
(3)
Misstatement Unit Error Assumption (4)
Bound Portion
2x3x4
Overstatements
0.023
10,000,000
0.500
115,000 1
0.015
3,450 2
0.014
1,960 3
0.010
1,400 4
0.012
0.003
360
Upper Precision Limit
0.078
Initial Misstatement Bound
122,170 *
* These amounts come from the previous slide. Only overstatements.

51. 1 2 3 4 5 6 7 8 9 10 Sample size ACTUAL NUMBER OF DEVIATIONS FOUND .1 2 3 4 5 6 7 8 9 10
10 PERCENT RISK OF OVER RELIANCE 20
10.9
18.1 . 25
8.8
14.7
19.9 30
7.4
12.4
16.8 35
6.4
10.7
14.5 40
5.6
9.4
12.8
15.9
19.0 45
5.0
8.4
11.4
14.2
17.0
19.6 50
4.5
7.6
10.3
12.9
15.4
17.8 55
4.1
6.9
11.7
14.0
16.2
18.4 60
3.8
6.3
8.6
10.8
14.9
16.9
18.8 70
3.2
5.4
9.3
11.1
14.6
17.9
19.5 80
2.8
4.8
6.5
8.3
9.7
11.3
14.3
15.7
17.2
18.6 90
2.5
4.3
5.8
7.3
8.7
10.1
12.7
15.3
16.6
100
2.3
5.2
6.6
7.8
9.1
11.5
13.8
15.0
120
1.9
4.4
5.5
9.6
10.6
11.6
12.5
160
1.4
2.4
3.3
4.9
5.7
7.2
8.0
9.5
200
1.1
2.6
4.0
4.6
7.0

52. Understatements Number of Misstatements (1)
Upper Precision Limit Portion
(2)
Recorded
Value
(3)
Misstatement Unit Error Assumption (4)
Bound Portion
2x3x4
Understatements
0.023
10,000,000
0.500
115,000 1
0.015
0.046
6,900
Upper Precision Limit
0.038
Initial Misstatement Bound
121,900

53. Offsetting Adjustments
Number of Misstatements
Misstatement Unit Error Assumption
(a)
Sample Size
(b)
Recorded Population
(c)
Point Estimate
a(c/b)
Bounds
Initial Overstatement Bound
122,170
Understatement Misstatements 1
0.046
100
10,000,000
4,600
(4,600)
Adjusted Overstatement Bound
117,570
Initial Understatement Bound
Overstatement Misstatements
0.023
2,300
(2,300) 2
0.014
1,400
(1,400) 3
0.010
1,000
(1,000) 4
0.003
300
(300)
Adjusted Understatement Bound
116,900
Thus the likely misstatement is between $116,900 and 117,570. Since materiality is $100,000, more work needs to be performed.

54. Problem 13-19, p. 443
During his interim audit visit, Charles Ai determined that one of the subsidiary companies of Mega Big Limited had experienced some very serious problems with respect to the credit management and collection of trade accounts receivable. During the first six months of the year, the accounts receivable of this subsidiary had almost doubled, the number of days’ sales in accounts receivable had increased from 39 to 64 days, and bad-debt expense had risen sharply. REQUIRED Prepare an outline of the steps that should be taken to investigate the nature and causes of the credit and collection problems. (Do not consider the possibility of fraud.)