
a.
Indicate the factors DM should consider while ascertaining
a.

Explanation of Solution
Sample size: The number of individual samples or items that an auditor examines to make a decision regarding the population, is referred to as sample size.
The sample size is determined on the basis of the following factors:
- Sampling risk or risk of incorrect acceptance.
- Tolerable misstatement.
- Expected misstatement.
- Population size.
The following are the factors DM should consider while ascertaining sample size:
- Balance of accounts receivable recorded in the customer accounts.
- Acceptable level of risk of incorrect acceptance.
- Tolerable misstatement.
- Expected misstatement.
These factors would be evaluated in the following ways:
- Balance of accounts receivable recorded in the customer accounts: The balances of accounts receivable would be evaluated by referring the accounting records of Company C.
- Acceptable level of risk of incorrect acceptance: The risk of incorrect acceptance is evaluated by application of audit risk models, evaluation of audit risk, evaluation of risk of material misstatement, and evaluation of audit risk by applying the analytical procedures.
- Tolerable misstatement: The tolerable misstatements would be evaluated by taking into account the recorded balances, class of transactions, relationship between the balances in accounts and class of transactions like total assets, or total sales.
- Expected misstatement: The expected misstatements would be evaluated by considering the previous engagements of DM with Company C, or considering the pilot samples, in case the engagement with the client is for the first time.
b.
Compute the sample size and sampling interval that would be used by DM for auditing Company C.
b.

Explanation of Solution
Sampling interval: This is the frequency at which the auditor selects the samples or items from the population, based on the size of the population.
Compute the sample size.
Step 1: Compute the risk of incorrect acceptance.
In the give case, risk of incorrect acceptance is given as 5%.
Step 2: Compute the ratio of expected misstatement to tolerable misstatement.
Step 3: Compute the ratio of tolerable misstatement to the size of population.
Step 4: Ascertain the sample size from Exhibit GA-1 by selecting the sample size at the intersection of ratios computed in Step 2 and Step 3.
The ratio of expected misstatement to tolerable misstatement, 0.20, intersects the ratio of tolerable misstatement to the size of population, 6%, for a risk of incorrect acceptance of 5%, at 78. Hence, the sample size is 78.
Compute the sampling interval.
c.
Explain the way in which DM would select the accounts receivable sample while auditing Company C’s accounts receivable ledger.
c.

Explanation of Solution
DM would select the accounts receivable sample by identifying a random amount between $0 and $25,641, the sampling interval, and selecting an accounts receivable ledger corresponding to the identified random sample. This process continues for every interval of 25,641, until 78 samples are selected.
d.
Ascertain the projected misstatement.
d.

Explanation of Solution
Projected misstatement: This is an assumption that a similar percentage of misstatement can be projected for whole sampling interval.
Ascertain the projected misstatement.
Step 1: Compute difference between the recorded balance and the audited value for the given misstatements.
Recorded Balance | ˗ | Audited Value | = | Difference |
$45,000 | ˗ | $40,000 | = | $5,000 |
8,000 | ˗ | 6,000 | = | 2,000 |
12,000 | ˗ | 9,000 | = | 3,000 |
Table (1)
Step 2: Compute the tainting percentage (Refer to Table (1) for the difference values).
Difference | ÷ | Recorded Balance | = | Tainting Percentage |
$5,000 | ÷ | $45,000 | = | 11% |
2,000 | ÷ | 8,000 | = | 25% |
3,000 | ÷ | 12,000 | = | 25% |
Table (2)
Step 3: Compute the projected misstatement (Refer to Table (2) for the tainting percentage values).
Tainting Percentage | × | Sampling Interval | = | Projected Misstatement |
× | $5,000 | = | $5,000 | |
25% | × | 13,000 | = | 3,250 |
25% | × | 13,000 | = | 3,250 |
$11,500 |
Table (3)
Note: Since the recorded balance of $45,000 is higher than the sampling interval of $13,000, the misstatement is not projected.
e.
Compute the upper limit on misstatements assuming a 5% risk of incorrect acceptance.
e.

Explanation of Solution
Upper limit on misstatements (ULM): ULM is the total of projected misstatement, incremental allowance for sampling risk, and basic allowance for sampling risk. ULM is the amount that has a probability of risk of incorrect acceptance percentage to exceed or equal the true amount of misstatement.
Compute the upper limit on misstatements assuming a 5% risk of incorrect acceptance.
Step 1: Compute the incremental allowance for sampling risk.
Projected Misstatement | × | Incremental Coincidence Factor | = | Incremental Allowance For Sampling Risk |
3,250 | × | 0.75 ((4.75–3.00)–1.00) | = | $2,438 |
3,250 | × | 0.55 ((6.30–4.75)–1.00) | = | 1,788 |
$4,226 |
Table (4)
Note: Refer to Exhibit-GA-2 for confidence factors at a risk of incorrect acceptance level of 5%.
Step 2: Compute the basic allowance for sampling risk.
Step 3: Compute the ULM (Refer to the previous computations for all the values).
Components of ULM | Amount ($) |
Projected Misstatement | $11,500 |
Incremental Allowance For Sampling Risk | 4,226 |
Basic Allowance For Sampling Risk | 39,000 |
Upper limit on misstatements | $54,726 |
Table (5)
f.
Provide concluding statements from the computations of part (e), regarding Company C’s accounts receivable.
f.

Explanation of Solution
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