For our experiential learning application, you will use your knowledge of sampling to run the following scenario. A research study reviewed the differences between two methods for verifying self$-$funded medical claims. The two methods reviewed were $1)$ verifying $100\%$ of claim exceptions or errors that were identified from all $54,000$ claims and $2)$ a random sampling of $300-400$ claims. The claims data was collected from two Fortune $100$ corporations. The researchers found that the second random sample method missed many of the claim errors that were identified through the $100\%$ of claims review with the first method. Some of the missed errors contained $$200,000-$ $$750,000$ in claim dollar values. To catch all the claim errors is an important goal for self$-$funded plans for ensuring lower expenditures. The process goal can follow a Six Sigma methodology, which is a quality improvement process, that ultimately seeks to obtain $0$ defects or errors. The researchers applied a five$-$step protocol for the claims review. The steps are: $1)$ All paid claims were loaded into a data warehouse. $2)$ Eligibility data and benefits $($such as covered services, co$-$pays, administrative agreements, and rules$)$ are reviewed. $3)$ Industry standards from Centers for Medicare and Medicaid Services $($CMS$)$ and others are used to detect exceptions. $4)$ The data is compared against best practices and administrative processes. $5)$ An on$-$site review is conducted for any claims identified for validation $($Sillup and Klimberg, $2011).$