Biltrite Practice Case
Module III: Control Testing – Sales Processing
The sampling plan in the design of controls does not provide tests about revenues and accounts receivables. The weakness that I could see is the fact that goods that were delivered to customers were not billed which result in bill of lading not being pre-numbered. Because of this, bills of lading do not count as an effective sampling unit. For a successful audit, auditors need to evaluate orders randomly and check to see if the goods were shipped and the customers received invoices prior to the receipt of the product, Therefore in this case, existence/occurrence is the course of action for the auditors. 2 and 3 are attached under “2009 attribu”
4. The sampling plan shows that there is an effective control of the company by the people in charge since the price of the products, the quantity of the footing and the credit limits offered to customers are not above the limitation. However the bills of ladings that were missing keep the auditors skeptical and make them look further for material information. Also, the other thing that looks suspicious is the inflated earnings showed. The analytical procedures and attribute testing performed will the auditors to look further in regards of the sales recorded during the year, the customer balanced and the accounts receivable. Therefore, I believe that aggregate materiality threshold shouldn’t be lowered since both accounts receivable and sales tests show earning’s inflation. Module IV: MUS Sampling- Factory Equipment Additions
The objective of performing this test is to test if the factory equipment accounts are materially overstated from the errors found in the capitalization of ordinary repairs. The sampling unit is the debit posting to the factory equipment account and the population is $12,600,000 which is the difference between the total debits of $89,860,000 and the equipment additions of $77,260,000 2.
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In setting these parameters, Derick focused on his assessment of inherent risk and control in regards of the acquisition cycle and the level of the overall audit risk. To explain the parameters further, because the risk of incorrect acceptance is 5% percent, this means that Derick is 95% sure about the results that he will get only 5% percent of errors in the population. Anticipated errors of $100,000 is usually based on previous year’s audit and the $640,000 of tolerable misstatement are errors Derick think exists in the population in regards of the factory equipment account. 4.
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“Tainting percentage” appear on a column when the book value of a unit is less than the sampling interval of 160000. And its purpose is to develop a projected error for all the sampling interval. 5.
And 6 can be found in the excel document “2009 MUS” for WP 11.3 C 7. a. Basic precision is the amount of uncertainty associated with testing only a part of the population and it is calculated by multiplying the sampling interval by the confidence factor to measure sampling errors. b. Incremental allowance for sampling error increases when there is an increase in the sampling error. c. Allowance for sampling risk is a factor used in planning statistical samples to keep sampling risk at the desired level. d. Upper misstatement limit is determined by adding the misstatement (basic precision) and incremental allowance for sampling error. It measures the maximum overstatement at the 95% confidence level set. 8. The sampling results do not support Derick’s concerns regarding possible material misstatement since the result of the upper misstatement limit is $3,720,833 which is more than the tolerable misstatement of $640,000. Also the proportion of the projected error is 85% which is calculated by dividing $2,503,060 by $2,936,338. These errors should bring the population within the...
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