IDEA is able to generate a random sample. With the Roger Company Accounts Receivable file open (see Chapter 5 for instructions on importing the Roger Company database if you have not done so yet), select Random in the Sample grouping of the Analysis tab. Enter 25 for the Number of records to select. Enter 7 for the Random number seed. Rename the File name to "AR Rand Sample" or something similar, leave the other settings as they are, and click OK. IDEA will generate a new tab displaying your random sample. Assuming that the electronic data were difficult to obtain and that the client compiled the electronic data only for the sample you selected, evaluate the effectiveness of the control that is designed to ensure that the invoice date always precedes the due date. Hint: Click on Criteria under Properties to create filters. a. How many exceptions did you observe in your sample of 25 (Recall the AR file has a population of 454 records)? Evaluate the sample at 90% confidence. Record the sample deviation rate and the 1-sided upper limit as provided by IDEA (see instructions in problem 4 if you have forgotten how to do this). If you can tolerate a deviation rate of 7% would you accept this control as effective? Note: Round your "1-Sided Upper Limit" to 2 decimal places. Number exceptions 1-Sided upper limit b. Would you accept this control as effective? Yes No