design of experiments; experimental design

简明释义

试验设计

英英释义

Design of experiments (DOE) is a systematic method used to plan, conduct, and analyze controlled tests to evaluate the factors that may influence a particular outcome.

实验设计(DOE)是一种系统的方法,用于规划、进行和分析受控测试,以评估可能影响特定结果的因素。

Experimental design refers to the process of organizing a study in a way that allows for the clear identification of cause-and-effect relationships through the manipulation of variables.

实验设计是指以一种方式组织研究,使得通过操纵变量能够清晰识别因果关系的过程。

例句

1.A proper design of experiments; experimental design can minimize variability and improve accuracy.

一个合适的实验设计可以最小化变异性并提高准确性。

2.The design of experiments; experimental design is crucial for obtaining reliable results in scientific research.

实验设计在科学研究中获取可靠结果至关重要。

3.The design of experiments; experimental design process involves randomization, replication, and blocking.

实验设计过程包括随机化、重复和分组。

4.Pharmaceutical companies use design of experiments; experimental design to test the efficacy of new drugs.

制药公司使用实验设计来测试新药的有效性。

5.In agriculture, the design of experiments; experimental design helps determine the best conditions for crop growth.

实验设计有助于确定作物生长的最佳条件。

作文

The concept of design of experiments; experimental design is fundamental in the field of research and statistics. It refers to the process of planning an experiment so that the data obtained can provide valid and objective conclusions. A well-structured design of experiments; experimental design allows researchers to systematically investigate the effects of different variables on a particular outcome. This methodology is critical in various fields, including agriculture, medicine, psychology, and engineering.One of the primary goals of design of experiments; experimental design is to minimize the impact of confounding variables—factors other than the independent variable that may influence the dependent variable. By controlling these variables, researchers can isolate the effect of the independent variable more accurately. For instance, in a clinical trial testing a new medication, it is crucial to control for factors such as age, gender, and pre-existing health conditions that could skew the results.Another important aspect of design of experiments; experimental design is randomization. Randomly assigning subjects to different treatment groups helps ensure that each group is comparable at the start of the experiment. This technique reduces bias and increases the reliability of the results. In agricultural studies, for example, farmers might randomly assign different fertilizers to various plots of land to determine which one yields the best crop production.Replication is also a key principle of design of experiments; experimental design. By repeating the experiment multiple times or using multiple subjects, researchers can assess the variability of the results and draw more robust conclusions. If an experiment is only conducted once, the findings may be due to chance rather than a true effect. Therefore, replication helps validate the findings and supports the generalizability of the results.Furthermore, the choice of experimental design is critical to achieving valid results. There are several types of designs, including completely randomized designs, randomized block designs, and factorial designs. Each type has its advantages and disadvantages, depending on the research question and the nature of the variables involved. For instance, factorial designs allow researchers to study the interaction effects between multiple independent variables, providing a more comprehensive understanding of the system under investigation.In conclusion, the design of experiments; experimental design is a crucial element in conducting scientific research. It encompasses various strategies and methodologies that help ensure the validity and reliability of the findings. By carefully planning experiments, controlling for confounding variables, randomizing treatments, and replicating studies, researchers can uncover meaningful insights that contribute to knowledge across various disciplines. Understanding the principles of design of experiments; experimental design not only enhances the quality of research but also fosters innovation and progress in science and technology.

实验设计的概念在研究和统计领域中是基础性的。它指的是计划实验的过程,以便获得的数据能够提供有效和客观的结论。一个结构良好的实验设计允许研究人员系统地调查不同变量对特定结果的影响。这种方法在农业、医学、心理学和工程等多个领域都至关重要。实验设计的主要目标之一是最小化混杂变量的影响——即除了自变量外,可能影响因变量的其他因素。通过控制这些变量,研究人员可以更准确地隔离自变量的影响。例如,在测试新药的临床试验中,控制年龄、性别和既往健康状况等因素对于确保结果的准确性至关重要。随机化是实验设计的另一个重要方面。随机将受试者分配到不同的处理组有助于确保每组在实验开始时是可比的。这一技术减少了偏差,提高了结果的可靠性。例如,在农业研究中,农民可能会随机将不同的肥料分配给不同的土地,以确定哪种肥料能产生最佳的作物产量。复制也是实验设计的关键原则。通过多次重复实验或使用多个受试者,研究人员可以评估结果的变异性并得出更稳健的结论。如果一个实验只进行一次,那么发现可能是由于偶然而不是实际效果。因此,复制有助于验证发现,并支持结果的普遍适用性。此外,实验设计的选择对于获得有效的结果至关重要。有几种设计类型,包括完全随机设计、随机区组设计和因子设计。每种类型都有其优缺点,具体取决于研究问题和涉及变量的性质。例如,因子设计允许研究人员研究多个自变量之间的交互效应,从而提供对所研究系统的更全面理解。总之,实验设计是进行科学研究的重要组成部分。它包含各种策略和方法,帮助确保研究结果的有效性和可靠性。通过仔细规划实验、控制混杂变量、随机化处理和复制研究,研究人员可以揭示有意义的见解,为各个学科的知识贡献力量。理解实验设计的原则不仅提高了研究质量,还促进了科学和技术的创新与进步。

相关单词

experimental

experimental详解:怎么读、什么意思、用法