This in turn, significantly reduces the 'cost per test', yet at the same time increases the overall accuracy required in a 'real-world' environment. Because the law of large numbers will create a convergence of results, it means that repeatability, predictability, and accuracy are enhanced, while simultaneously reducing the overall cost of the testing.
The decrease in test costs leads to increased efficiency, which in turn raises the need for greater precision in actual-world settings. As a result, the benefits of repeatability, predictability, and accuracy are enhanced, while simultaneously reducing overall testing expenses.