Audit 5 - Audit Sampling Flashcards
Sample Size
Sample Size - Although various factors affect sample size, population size does not siginificantly affect sample size and doubling the size of the population would not cause the sample size to double.
Sample Size
Sample Size - The larger the expected deviation rate in the population, the larger the sample size, a direct relationship.
Sample Size
Sample Size - The tolerable deviation rate has an inverse relationship with sample size, which increases as the tolerable deviation rate decreases.
Nonsampling Risk
Nonsampling Risk - Nonsampling risk is the risk that an auditor will draw an incorrect conclusion from an audit procedure due to a flaw in the procedure or the auditor’s interpretation of results, such as selecting inappropriate audit procedures.
Sampling Risk
Sampling Risk - Sampling risk is the risk that there is a flaw with the sample, a nonrepresentative sample, causing the auditor to draw the wrong conclusion.
Sampling Risk
Sampling Risk - Sampling risk would cause the auditor to conclude that internal controls are more or less effective than they actually are or concluding that a misstated balance is failry stated or that a fairly stated balance is misstated.
Sample Size -
Sample Size - Population size has little to no effect on the sample size and therefore sample size does not increase if population size doubles.
Sample Size -
Sample Size - DIRECT RELATIONSHIP - the higher the EXPECTED ERROR RATE, the higher the SS
Sample Size
Sample Size - INVERSE RELATIONSHIP - the higher the TOLERABLE ERROR RATE, the SMALLER the SS
Incorrect Rejection -
Incorrect Rejection - Rejecting a population because of a projected error that is based on a sample exceeding the tolerable misstatement despite the fact that the error in the population is below the tolerable misstatement.
Incorrect Rejection -
Incorrect Rejection - Indicates that the exception or error rate in the sample exceeds the tolerable even though the actual error in the population is at an acceptable level.
Incorrect Acceptance
Incorrect Acceptance - When a projected error that is based on a sample is lower than the tolerable misstatement when the actual error in the population is higher.
Incorrect Acceptance
Incorrect Acceptance - When an auditor concludes that an error or devaition rate in a population is acceptable based on a sample even though it is not true of the population, it represents a sampling error that results in incorrect acceptance.
Type I Efficiency Error -
Type I Efficiency Error - Incorrectly reject account balance based on sample = SAMPLE IS BAD / POPULATION IS GOOD = Risk of underreliance on I/C, RMM (up)
Type II Effectiveness Error -
Type II Effectiveness Error - Incorrectly accept account balance based on sample = SAMPLE IS GOOD / POPULATION IS BAD = Risk of overreliance on I/C, RMM (down)
Type I Efficiency Error Example -
Type I Efficiency Error Example - When the sample results indicate an intolerable error rate even though the error rate of the population is actually acceptable.
Allowable Risk of Assessing CR -
Allowable Risk of Assessing CR - When the auditor’s allowable risk of assessing control risk is very low, the auditor wil perform tests of controls to determine if the control is working effectively.
Allowable Risk of Assessing CR
Allowable Risk of Assessing CR - If the auditor’s allowable risk of assessing control risk is too high, the auditor is unlikely to rely on the control and would not test controls.
Allowable Risk of Assessing CR
Allowable Risk of Assessing CR - The auditor’s allowable risk of assessing control being too low is a consideration in planning an auditor’s sample for a test of controls.
Allowable Risk of Assessing CR -
Allowable Risk of Assessing CR - Materiality is relevent to substantive tests, not tests of controls.
Voided Voucher
Voided Voucher - In selecting a sample for a test of internal controls, a voided transaction cannot provide evidence as to whether or not the control is effective and the item would be replaced with another. If an item cannot be located or indicates a deviatino, it hsould be kept in the sample and treated as an exception.
Voided Voucher
Voided Voucher - If a random number in a voucher sample matches a voided voucher, the voucher ordinarily would be replaced by another voucher in the random sample if the voided voucher has been properly voided.
Inspecting Purchase Orders
Inspecting Purchase Orders - Inspecting purchase orders for proper approval involves determining whether or not the transactions, purchase orders, have a paticular attribute (approval), calling for attribute sampling.
Inspecting Purchase Orders -
Inspecting Purchase Orders - Tests involving the amount of an expense, the valuation of an account, or account balances would employ variable estimation sampling since the auditor would be trying to evaluate the appropriateness of an amount.
Example of PPS -
Example - Under PPS sampling, an interval is determined by dividing the total value of the poplation by the sample size. When an item is selected from an internal that has a value lower than the interval amount, any error is measured as a percentage of the items value and that percentage is applied to the interval resulting in a larger error measure.
Example of PPS
Example - With an interval of $10,000 and a sample item with a greater recorded amount of $12,000 compared to the audited amount of $11,000, a $1000 error would be considered the projected misstatement.
Example of PPS -
Example - A risk of incorrect acceptance of 20% with 1 expected misstatement results in a factor of 3.0, which is divided into the tolerrable misstatement of $24,000, resultin in an interval of $8,000. This is divided into the total value of the poplatin to give a sample size equal to $240,000/$8,000, o r30.