Auditing and Assurance Services (16th Edition)
Auditing and Assurance Services (16th Edition)
16th Edition
ISBN: 9780134065823
Author: Alvin A. Arens, Randal J. Elder, Mark S. Beasley, Chris E. Hogan
Publisher: PEARSON
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Chapter 15, Problem 23.1MCQ
To determine

Determine the upper precision limit (CUER) in statistical sampling.

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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.
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 size
S1: Mean per unit estimation is a classical variable sampling technique that projects the sample average to the total population by multiplying the sample average by the number of items in the population. S2: The more the auditor is relying on other substantive procedures to reduce to an acceptable level the detection risk regarding a particular population, the less assurance the auditor will require from sampling, and the smaller the sample size can be.   a. BOTH STATEMENTS ARE TRUE b. BOTH STATEMENTS ARE FALSE c. ONLY S1 IS TRUE d. ONLY S2 IS TRUE
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