bulk variability

简明释义

膨松不均度;

英英释义

例句

1.Manufacturers must account for bulk variability when predicting inventory needs.

制造商在预测库存需求时必须考虑大宗变异性。

2.Researchers studied the bulk variability in soil composition across different regions.

研究人员研究了不同地区土壤成分的大宗变异性。

3.In quality control, understanding bulk variability is crucial to ensure product consistency.

在质量控制中，理解大宗变异性对确保产品一致性至关重要。

4.The bulk variability of raw materials can lead to fluctuations in final product quality.

原材料的大宗变异性可能导致最终产品质量的波动。

5.The study revealed significant bulk variability in the product's weight, affecting packaging costs.

研究显示产品重量存在显著的大宗变异性，影响了包装成本。

作文

In the realm of scientific research, particularly in fields such as ecology, biology, and materials science, the concept of bulk variability plays a crucial role. Bulk variability refers to the inherent differences observed within a large group of entities, whether they are organisms, materials, or data points. Understanding this variability is essential for researchers as it can significantly influence experimental outcomes and interpretations.For instance, in ecological studies, scientists often examine populations of a particular species. Within any given population, there will be variations in size, age, health, and behavior. These differences, categorized under bulk variability, can affect the overall dynamics of the ecosystem. If a researcher fails to account for bulk variability, their conclusions about the health of the population or its interactions with other species could be misleading. Therefore, recognizing and quantifying bulk variability is vital for accurate ecological assessments.Similarly, in materials science, the properties of a bulk material can vary significantly due to factors such as impurities, manufacturing processes, and environmental conditions. For example, when testing the strength of a metal alloy, researchers must consider the bulk variability that may arise from uneven distribution of elements within the alloy. Such variability can lead to inconsistencies in performance, making it imperative for engineers and scientists to conduct thorough analyses and control for these differences.Moreover, in the field of statistics, bulk variability is a key consideration when analyzing data sets. Large data sets often exhibit variability that can skew results if not properly addressed. For instance, in clinical trials, patient responses to a treatment can vary widely due to genetic, environmental, and lifestyle factors. This bulk variability must be accounted for to ensure that the trial results are valid and applicable to the broader population.To manage bulk variability, researchers employ various statistical methods and experimental designs. Techniques such as stratification, randomization, and replication are commonly used to minimize the impact of variability on study results. By acknowledging and controlling for bulk variability, scientists can draw more reliable conclusions and contribute to the advancement of knowledge in their respective fields.In conclusion, bulk variability is a fundamental concept that underlies many aspects of scientific inquiry. Whether in ecology, materials science, or statistics, recognizing and addressing bulk variability is essential for obtaining accurate and meaningful results. As researchers continue to explore the complexities of the natural world, a deep understanding of bulk variability will undoubtedly enhance the validity and reliability of their findings, ultimately leading to better-informed decisions across various disciplines.

在科学研究领域，尤其是在生态学、生物学和材料科学等领域，bulk variability的概念发挥着至关重要的作用。Bulk variability指的是在一大群体中观察到的固有差异，无论这些实体是生物、有机材料还是数据点。理解这种变异性对研究人员至关重要，因为它可能会显著影响实验结果和解释。例如，在生态研究中，科学家经常研究特定物种的种群。在任何给定的种群中，都会存在大小、年龄、健康状况和行为等方面的差异。这些差异被归类为bulk variability，可以影响生态系统的整体动态。如果研究人员未能考虑bulk variability，他们关于种群健康或与其他物种相互作用的结论可能会产生误导。因此，识别和量化bulk variability对于准确的生态评估至关重要。同样，在材料科学中，块状材料的性质可能因杂质、制造过程和环境条件等因素而显著变化。例如，在测试金属合金的强度时，研究人员必须考虑由于合金内元素分布不均而可能出现的bulk variability。这种变异性可能导致性能不一致，因此工程师和科学家必须进行全面分析并控制这些差异。此外，在统计学领域，bulk variability是分析数据集时的关键考虑因素。大型数据集通常会显示出变异性，如果不加以处理，可能会扭曲结果。例如，在临床试验中，患者对治疗的反应可能因遗传、环境和生活方式因素而大相径庭。这种bulk variability必须加以考虑，以确保试验结果是有效的，并可适用于更广泛的人群。为了管理bulk variability，研究人员采用各种统计方法和实验设计。分层、随机化和重复等技术通常用于最小化变异性对研究结果的影响。通过承认和控制bulk variability，科学家们可以得出更可靠的结论，并推动各自领域的知识进步。总之，bulk variability是科学探究许多方面的基本概念。无论是在生态学、材料科学还是统计学中，认识并解决bulk variability对于获得准确和有意义的结果至关重要。随着研究人员继续探索自然世界的复杂性，对bulk variability的深入理解无疑将增强他们发现的有效性和可靠性，最终在各个学科中做出更明智的决策。