composite samples

简明释义

混合取样

英英释义

例句

1.For nutritional analysis, composite samples of food items were created to represent the average nutrient content.

为了营养分析，创建了食品项目的复合样本以代表平均营养成分。

2.In environmental studies, researchers often analyze composite samples to get a better understanding of soil contamination levels.

在环境研究中，研究人员通常分析复合样本以更好地了解土壤污染水平。

3.The laboratory prepared composite samples from various water sources to test for pollutants.

实验室从多个水源准备了复合样本以测试污染物。

4.The quality control team used composite samples to evaluate the consistency of the product batch.

质量控制团队使用复合样本来评估产品批次的一致性。

5.When conducting a survey, we collected composite samples from different locations to ensure accuracy in our findings.

在进行调查时，我们从不同地点收集了复合样本以确保结果的准确性。

作文

In the field of scientific research, particularly in environmental studies and material science, the term composite samples refers to a collection of individual samples that are combined to form a single representative sample. This method is often used to obtain a more accurate representation of a larger population or area by averaging out the variability found in individual samples. For instance, when studying soil quality across a large agricultural field, researchers might take several small soil samples from different locations within the field and combine them into composite samples. By analyzing these combined samples, scientists can gain insights into the overall health and nutrient levels of the soil, which would be much harder to determine by examining each individual sample separately.The use of composite samples has several advantages. Firstly, it helps minimize the effects of random variability. Individual samples can vary significantly due to localized conditions, such as moisture content or nutrient distribution. By creating composite samples, researchers can smooth out these variations and achieve a more reliable result. Secondly, collecting and analyzing composite samples can be more time-efficient and cost-effective. Instead of running numerous tests on multiple individual samples, scientists can conduct fewer analyses on the combined sample, saving both time and resources.However, it is crucial to ensure that the process of creating composite samples is done correctly. The individual samples must be collected systematically and representatively to avoid bias. If certain areas are overrepresented or underrepresented in the sampling process, the resulting composite samples may not accurately reflect the true characteristics of the entire population. Therefore, careful planning and execution are essential to ensure the validity of the results.Moreover, the interpretation of data derived from composite samples requires a thorough understanding of the underlying principles of sampling and statistical analysis. Researchers must consider factors such as sample size, the method of combination, and the statistical techniques used to analyze the data. Misinterpretation can lead to incorrect conclusions, which can have significant implications, especially in fields like public health, environmental policy, and agriculture.In conclusion, composite samples play a vital role in various scientific disciplines by providing a means to aggregate data and derive meaningful conclusions from complex datasets. While they offer several benefits, including reduced variability and increased efficiency, researchers must approach their use with caution and rigor. By understanding the principles behind composite samples and adhering to best practices in sampling and analysis, scientists can enhance the reliability of their findings and contribute to more informed decision-making in their respective fields.

在科学研究领域，特别是在环境研究和材料科学中，术语复合样本指的是将多个单独样本组合在一起形成的一个代表性样本。这种方法通常用于通过平均个别样本中的变异性来获得对更大群体或区域的更准确的表示。例如，在研究一个大型农业田地的土壤质量时，研究人员可能会从田地的不同位置采集几个小土壤样本，并将它们合并为复合样本。通过分析这些组合样本，科学家可以深入了解土壤的整体健康状况和养分水平，这要比单独检查每个样本要困难得多。使用复合样本有几个优点。首先，它有助于最小化随机变异的影响。由于局部条件（如水分含量或养分分布），个别样本可能会显著不同。通过创建复合样本，研究人员可以平滑这些变异，从而获得更可靠的结果。其次，收集和分析复合样本可能更节省时间和成本。科学家可以对组合样本进行较少的分析，而不是对多个单独样本进行大量测试，从而节省时间和资源。然而，确保正确创建复合样本的过程至关重要。必须系统且具有代表性地收集个别样本，以避免偏差。如果某些区域在取样过程中被过度代表或不足代表，最终得到的复合样本可能无法准确反映整个群体的真实特征。因此，仔细的规划和执行对于确保结果的有效性至关重要。此外，从复合样本中得出的数据解释需要对采样和统计分析的基本原理有透彻的理解。研究人员必须考虑样本大小、组合方法以及用于分析数据的统计技术等因素。误解可能导致错误的结论，这可能会产生重大影响，尤其是在公共卫生、环境政策和农业等领域。总之，复合样本在各种科学学科中发挥着重要作用，通过提供一种聚合数据的方法，从复杂的数据集中得出有意义的结论。虽然它们提供了几个好处，包括减少变异性和提高效率，但研究人员必须谨慎和严谨地使用它们。通过理解复合样本背后的原理并遵循最佳的采样和分析实践，科学家可以提高其发现的可靠性，并为各自领域的更明智决策做出贡献。