What is the ideal outcome for sampling quantity?

The ideal outcome for sampling quantity is to exceed the minimum sample size. This ensures that the sample collected is representative of the material being tested, which allows for more accurate analysis and reliable results. A larger sample size generally leads to improved statistical confidence in the findings, as it reduces the variability that might come from sampling a smaller quantity. With a sufficient quantity of material, inspectors can identify variations and make more valid conclusions regarding the properties of the soil or aggregate, which is crucial for quality assurance in construction and material management.

In terms of the other outcomes, minimizing testing costs can sometimes conflict with the necessity of collecting an adequate sample size. A sample that is less than optimal can lead to inconclusive results or potentially inaccurate assessments. Moreover, avoiding splitting samples is important in some contexts, but does not address the fundamental need to ensure that the sample size is sufficient to represent the overall material. Hence, prioritizing the collection of a quantity that exceeds the minimum requirements facilitates better decision-making based on the test results.