Auditing: A Risk Based-Approach (MindTap Course List)
11th Edition
ISBN: 9781337619455
Author: Karla M Johnstone, Audrey A. Gramling, Larry E. Rittenberg
Publisher: Cengage Learning
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Question
Chapter 8, Problem 7RQSC
To determine
Introduction: Statistical sampling is a process to select the samples from the population and assemble data from those samples. Non-statistical sampling is sampling where samples are chosen by the auditor.
Compare the statistical sampling and non-statistical sampling on the basis of given parameters.
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Understand how to use sequential sampling,discovery sampling, and nonstatisticalsampling in attributes testing.
Construct a sample problem of External Rate of Return (ERR).
Define the terms precision (allowance for sampling risk), reliability (confidence), and precisioninterval.
Chapter 8 Solutions
Auditing: A Risk Based-Approach (MindTap Course List)
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 pairs of selection methods could appropriately be used in statistical sampling applications?a. Unrestricted random selection, block selection.b. Block selection, haphazard selection.c. Systematic random selection, haphazard selection.d. Unrestricted random selection, systematic random selection.arrow_forwardA 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_forward
- An advantage of statistical sampling over nonstatistical sampling methods is that statistical methodsa. Afford more assurance than a nonstatistical sample of equal size.b. Provide an objective basis for quantitatively evaluating sampling risk.c. Can more easily convert the sample into a dual-purpose test useful for substantive procedures.d. Eliminate the need to use judgment in determining appropriate sample sizesarrow_forwardSuppose 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…arrow_forwardWhat is the primary use of a p-value in statistics? a) To measure the central tendency b) To assess the strength of evidence against the null hypothesis c) To calculate the mean d) To measure the spread of dataarrow_forward
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