EBK AUDITING: A RISK BASED-APPROACH
11th Edition
ISBN: 9781337670203
Author: RITTENBERG
Publisher: YUZU
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Question
Chapter 8, Problem 12RQSC
To determine
Introduction:
Determine the assumptions to justify the sample sizes.
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Students have asked these similar questions
1a) Briefly discuss the advantages of using statistical sampling in auditing.
1b) Discuss three types of statistical sampling techniques.
Suppose you're given a data set that classifies each sample unit into one of four categories: A, B, C,
the data as A = 1, B=2, C = 3, and D=4. Are the data consisting of the classifications A, B, C, and D
or quantitative?
Are the data consisting of the classifications A, B, C, and D qualitiative or quantitative?
OA. Qualitative, because they are measured on a naturally occuring numerical scale.
B. Quantitative, because they are measured on a naturally occuring numerical scale.
C. Quantitative, because they can only be classified into categories.
D. Qualitative, because they can only be classified into categories.
***
After the data are input as 1, 2, 3, or 4, are they qualitative or quantitative?
OA. Qualitative, because they cannot be meaningfully added, subtracted, multiplied, or divided.
B. Qualitative, because they are measured on a naturally occurring numerical scale.
OC. Quantitative, because they are measured on a naturally occurring numerical scale.
OD. Quantitative, because…
When the auditor goes through a population and selects items for the sample without regard to their size, source, or other distinguishing characteristics, it is called
Block selection\
Haphazard selection
Random selection
Systematic selection
Chapter 8 Solutions
EBK AUDITING: A RISK BASED-APPROACH
Ch. 8 - Prob. 1CYBKCh. 8 - Prob. 2CYBKCh. 8 - Prob. 3CYBKCh. 8 - Prob. 4CYBKCh. 8 - Prob. 5CYBKCh. 8 - Prob. 6CYBKCh. 8 - Prob. 7CYBKCh. 8 - Prob. 8CYBKCh. 8 - Prob. 9CYBKCh. 8 - Prob. 10CYBK
Ch. 8 - Prob. 11CYBKCh. 8 - Prob. 12CYBKCh. 8 - Prob. 13CYBKCh. 8 - Prob. 14CYBKCh. 8 - Prob. 15CYBKCh. 8 - Prob. 16CYBKCh. 8 - Prob. 17CYBKCh. 8 - Prob. 18CYBKCh. 8 - Refer to Exhibit 8.6. Assume a 5% risk of...Ch. 8 - Prob. 21CYBKCh. 8 - Prob. 22CYBKCh. 8 - Prob. 23CYBKCh. 8 - Prob. 24CYBKCh. 8 - Prob. 25CYBKCh. 8 - Prob. 26CYBKCh. 8 - Prob. 27CYBKCh. 8 - Prob. 28CYBKCh. 8 - Prob. 29CYBKCh. 8 - Prob. 30CYBKCh. 8 - Prob. 31CYBKCh. 8 - Prob. 32CYBKCh. 8 - Prob. 33CYBKCh. 8 - Prob. 34CYBKCh. 8 - Prob. 35CYBKCh. 8 - Prob. 36CYBKCh. 8 - Prob. 37CYBKCh. 8 - Prob. 38CYBKCh. 8 - Prob. 39CYBKCh. 8 - Prob. 1RQSCCh. 8 - Prob. 3RQSCCh. 8 - Prob. 4RQSCCh. 8 - Prob. 5RQSCCh. 8 - Prob. 6RQSCCh. 8 - Prob. 7RQSCCh. 8 - Prob. 8RQSCCh. 8 - Prob. 9RQSCCh. 8 - Prob. 10RQSCCh. 8 - Prob. 11RQSCCh. 8 - Prob. 12RQSCCh. 8 - Prob. 13RQSCCh. 8 - Prob. 14RQSCCh. 8 - Prob. 15RQSCCh. 8 - Prob. 16RQSCCh. 8 - Prob. 17RQSCCh. 8 - Prob. 18RQSCCh. 8 - Prob. 19RQSCCh. 8 - What is stratification? Distinguish between...Ch. 8 - Prob. 21RQSCCh. 8 - Prob. 22RQSCCh. 8 - Prob. 23RQSCCh. 8 - Prob. 24RQSCCh. 8 - Prob. 25RQSCCh. 8 - Prob. 26RQSCCh. 8 - Prob. 27RQSCCh. 8 - Prob. 28RQSCCh. 8 - Prob. 29RQSCCh. 8 - Prob. 30RQSCCh. 8 - Prob. 31RQSCCh. 8 - Prob. 32RQSCCh. 8 - Prob. 33RQSCCh. 8 - Prob. 36RQSCCh. 8 - Prob. 37RQSC
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Similar questions
- Consider a sample with data values of 10, 20, 12, 17, and 16. a. Compute the mean and median. b. Consider a sample with data values 10, 20, 12, 17, 16, and 12. How would you expect the mean and median for these sample data to compare to the mean and median for part a (higher, lower, or the same)? Compute the mean and median for the sample data 10, 20, 12, 17, 16, and 12.arrow_forwardWhich of the following components of the audit risk model is most closely associated with attributes sampling?a. Audit risk.b. Control risk.c. Detection risk.d. Inherent risk.arrow_forwardSubject: Auditing & Assurance Principles PAS 530 defines methods of selecting samples. Describe briefly each method:a) Random number selectionb) Systematic selectionc) Haphazard selectiond) Sequential samplinge) Discovery samplingf) Stratified samplingg) Value-weighted selectionarrow_forward
- The upper precision limit (CUER) in statistical sampling is(1) the percentage of items in a sample that possess a particular attribute.(2) the percentage of items in a population that possess a particular attribute.(3) a statistical measure, at a specified confidence level, of the maximum rate ofoccurrence of an attribute.(4) the maximum rate of exception that the auditor would be willing to accept inthe population without altering the planned reliance on the attribute.arrow_forwardSubject: Auditing & Assurance Principles Differentiate the following: a) Statistical vs Non-statistical sampling b) Attribute vs Variables samplingarrow_forward1.1.Sampling is important in an audit process. Briefly explain the value of sampling in the audit process. 1.2. Identify and explain the two types of sampling risks?arrow_forward
- Which of the following steps involved with determining the upper limit on misstatements is ordinarily performed earliest?a. Multiply the sampling interval by the tainting percentage.b. Determine the audited value of the item and compare it to the recorded balance.c. Calculate the basic allowance for sampling risk.d. Calculate the incremental allowance for sampling risk.arrow_forwardWhich of the following best describes the method of determining the ULRD?a. Expected population deviation rate + Allowance for sampling risk.b. Risk of underreliance + Allowance for sampling risk.c. Sample rate of deviation + Allowance for sampling risk.d. Tolerable rate of deviation + Allowance for sampling risk.arrow_forwardWhat is stratification? What are the benefits to the audit team of stratifying the sample?arrow_forward
- A principal advantage of statistical methods of attribute sampling over nonstatistical methods is that they provide a scientific basis for planning the A. risk of overreliance B. tolerable rate C. expected population deviation rate D. Sample sizearrow_forwardState the relationship between the following:a. ARO and sample sizeb. Population size and sample sizec. TER and sample sized. EPER and sample sizearrow_forwardWhat is a one-sample t test? When would it be used?arrow_forward
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