ACL PROBLEM 38 (OBJECTIVE 15-n) this problem requires the use of ACL software, which can be Passed through the textbook Web site. Information about downloading and using " and the commands used in this problem can also be found on the textbook Web "you should read all of the reference material, especially the material on sampling Sewer questions a. through f. For this problem, use the "Invoices" file in the "Sales ""Collection" subfolder under tables in the ACL_Rockwood project. This file contains "formation on sales invoices generated during calendar year 2014, including those that inve been paid versus those still outstanding. Suggested commands, where applicable, are indicated at the end of the problem requirements. How many records are included in the Invoices file as noted at the bottom of the Required screen? Using the Invoices file, calculate the sample size and sampling interval for a record sample to be used for tests of transactions. Use a confidence level of 90%, upper error limit of 6% (tolerable error rate or precision), and expected error rate of zero. (Sampling/Calculate Sample Size; select "Record" radio button.) What is the sample size if you increase the confidence level to 95% and do not change the other sampling parameters? What is the sample size if you increase the upper er- ror limit to 8%, with a confidence level of 90% and expected error rate of zero? d. Select the sample based on the sample size determined in part b. (Sampling /Sample; select the "Record" radio button under "Sample type." For "Sample Parameters" select the "Random" radio button and sample size you determined in part b., use a seed of 5.) Save the file using a naming convention such as invoice_sample. e. What is the invoice number of the largest invoice selected for testing? Does your sam- pling plan consider invoice amount? (Quick Sort) f. Assume you found one error in the sample. Without using ACL, will your results be acceptable? Explain. Now use ACL to calculate the upper error limit frequency. (Sampling/Evaluate Error; input the confidence level, sample size, and one error.) las ons