predetermined variable; predetermined variate

简明释义

预定变量

英英释义

例句

1.The experiment was designed with a predetermined variate 预设变数 to ensure consistent results across trials.

实验设计中包含了一个预设变数 predetermined variate 以确保各次试验结果的一致性。

2.The results were influenced by several predetermined variates 预设变数, which needed to be accounted for in the final report.

结果受到几个预设变数 predetermined variates 的影响，这些需要在最终报告中考虑。

3.A predetermined variable 预设变量 can help researchers isolate the effects of specific interventions.

一个预设变量 predetermined variable 可以帮助研究人员隔离特定干预措施的效果。

4.In our study, we used a predetermined variable 预设变量 to measure the impact of social media on mental health.

在我们的研究中，我们使用了一个预设变量 predetermined variable 来衡量社交媒体对心理健康的影响。

5.Researchers often rely on a predetermined variable 预设变量 to control for external factors in their analysis.

研究人员通常依赖于一个预设变量 predetermined variable 来控制分析中的外部因素。

作文

In the realm of statistics and research, understanding the concept of a predetermined variable is crucial for designing experiments and analyzing data. A predetermined variable, or predetermined variate, refers to a factor that has been established prior to conducting an experiment or study. This means that the variable is set in advance and does not change during the course of the research. For instance, if a researcher is studying the effects of a new medication on blood pressure, the dosage of the medication can be considered a predetermined variable. By setting this variable ahead of time, the researcher can ensure that the results are consistent and reliable.The significance of using a predetermined variable lies in its ability to reduce bias and control for confounding factors. When variables are predetermined, researchers can isolate the effects of the treatment or intervention being studied. This is particularly important in fields such as clinical trials, where the integrity of the data is paramount. If researchers were to change the dosage of medication mid-study, it could introduce variability that complicates the analysis and interpretation of results.Moreover, establishing predetermined variates allows for clearer communication within the scientific community. When researchers publish their findings, they need to provide enough detail about their methodology so that others can replicate their studies. By clearly defining predetermined variables, other researchers can understand the conditions under which the study was conducted. This transparency is essential for validating results and building upon existing research.Another aspect worth considering is the ethical implications of using predetermined variables. In many cases, especially in medical research, the health and safety of participants are at stake. By carefully selecting and adhering to predetermined variates, researchers can minimize risks and ensure that participants are not subjected to unnecessary changes during the study. This careful planning reflects a commitment to ethical standards in research.In addition to ethics, the use of predetermined variables also impacts the statistical analysis of data. Many statistical tests rely on the assumption that certain variables are fixed and known. When conducting analyses, researchers often use models that incorporate these predetermined variates to draw conclusions about the population being studied. If the variables were not predetermined, it would undermine the validity of the statistical models used, leading to potentially erroneous conclusions.In summary, the concept of a predetermined variable or predetermined variate is fundamental to the integrity of research methodologies. It ensures consistency, reduces bias, enhances communication, addresses ethical concerns, and supports robust statistical analysis. Researchers must carefully consider which variables to predetermine in order to maintain the quality and reliability of their studies. Moving forward, the adherence to using predetermined variables will continue to play a vital role in advancing knowledge across various scientific disciplines.

在统计学和研究领域，理解预先确定变量的概念对于设计实验和分析数据至关重要。预先确定变量或预先确定变数是指在进行实验或研究之前已经建立的因素。这意味着该变量是在研究开始之前设定的，并且在研究过程中不会改变。例如，如果研究人员正在研究一种新药对血压的影响，则药物的剂量可以视为预先确定变量。通过提前设定这个变量，研究人员可以确保结果的一致性和可靠性。使用预先确定变量的重要性在于它能够减少偏见并控制混杂因素。当变量被预先确定时，研究人员可以孤立出所研究的治疗或干预的效果。这在临床试验等领域尤其重要，因为数据的完整性至关重要。如果研究人员在研究中途改变药物剂量，可能会引入复杂化分析和结果解释的变异性。此外，确立预先确定变数还可以使科学界之间的沟通更加清晰。当研究人员发布他们的发现时，他们需要提供足够的细节来描述他们的方法，以便其他人可以复制他们的研究。通过明确定义预先确定变量，其他研究人员可以理解研究进行的条件。这种透明度对于验证结果和在现有研究基础上进行进一步研究至关重要。另一个值得考虑的方面是使用预先确定变量的伦理影响。在许多情况下，特别是在医学研究中，参与者的健康和安全处于危险之中。通过仔细选择并遵循预先确定变数，研究人员可以将风险降到最低，并确保参与者在研究过程中不受到不必要的变化。这种周密的计划反映了对研究伦理标准的承诺。除了伦理问题，使用预先确定变量还会影响数据的统计分析。许多统计检验依赖于某些变量是固定且已知的假设。在进行分析时，研究人员通常使用包含这些预先确定变数的模型来得出关于所研究人群的结论。如果变量没有预先确定，将破坏所使用统计模型的有效性，从而导致潜在的错误结论。总之，预先确定变量或预先确定变数的概念是研究方法完整性的基础。它确保一致性，减少偏见，增强沟通，解决伦理问题，并支持稳健的统计分析。研究人员必须仔细考虑哪些变量需要预先确定，以保持研究的质量和可靠性。展望未来，遵循使用预先确定变量将继续在推动各科学科知识的发展中发挥重要作用。