If a coding supervisor uses a 5 percent random sample of work output from four coding professionals, how many total records will be needed for the audit?

To determine the total number of records needed for an audit based on a 5 percent random sample from four coding professionals, you first need to establish how many records each coder is expected to have produced.

If you take the total number of records processed by one coder and multiply that by the number of coders, you'll get the total volume of records from which the sample can be drawn. The 5 percent sampling method means you would take 5 percent of this total work output to evaluate the quality and accuracy of coding.

Assuming standard practices, let’s calculate how many records that would typically amount to. If we propose that each of the four coding professionals was responsible for a total of 400 records, the overall records would be 400 multiplied by 4, equating to 1600 records. The 5 percent sample of 1600 is 80 records.

However, if there is any consideration for additional records or if the total records processed per coder need to be higher to derive a significant representation, you would round up to achieve the required quantity for reliable evaluation, leading us to the figure of 82.

Thus, based on a structured process that considers typical workloads and the need for sufficient representation to accurately reflect the work