manipulated variable

简明释义

操作变量

英英释义

例句

1.The researcher adjusted the manipulated variable (操控变量) to observe its impact on plant growth.

研究人员调整了操控变量以观察其对植物生长的影响。

2.In a controlled experiment, the temperature is the manipulated variable (操控变量) that affects the reaction rate.

在一个控制实验中，温度是影响反应速率的操控变量。

3.By changing the light intensity, the scientists identified the manipulated variable (操控变量) in their photosynthesis research.

通过改变光强度，科学家们确定了他们光合作用研究中的操控变量。

4.The manipulated variable (操控变量) in the experiment was the concentration of salt in the water.

实验中的操控变量是水中的盐浓度。

5.In this study, the amount of fertilizer used is the manipulated variable (操控变量) in testing crop yields.

在这项研究中，使用的肥料量是测试作物产量的操控变量。

作文

In the realm of scientific experimentation, understanding the components that influence the outcome of an experiment is crucial. One fundamental concept is the manipulated variable, which refers to the factor that a researcher intentionally changes in order to observe its effects on another variable. This variable is also known as the independent variable, and it plays a significant role in determining the relationship between different factors in an experiment.To illustrate the importance of the manipulated variable, let us consider a simple example involving plant growth. Suppose a scientist wants to investigate how different amounts of sunlight affect the growth rate of a particular plant species. In this case, the amount of sunlight the plants receive is the manipulated variable. The researcher can control this variable by placing the plants in various locations with differing light exposure.As the experiment progresses, the scientist will measure the growth of the plants, which constitutes the dependent variable or the responding variable. By systematically changing the amount of sunlight and observing the corresponding changes in plant growth, the researcher can draw conclusions about the relationship between sunlight exposure and plant growth. This process highlights the significance of the manipulated variable in experimental design, as it allows for the isolation of specific factors that may influence the outcome.Moreover, the careful selection and manipulation of variables are essential for ensuring the validity and reliability of experimental results. If a researcher fails to adequately control the manipulated variable, the results may be confounded by other external factors, leading to misleading conclusions. For instance, if the scientist in our example also varied the amount of water given to the plants without controlling for it, it would become difficult to determine whether changes in growth were due to sunlight or water availability.In addition to scientific research, the concept of the manipulated variable extends to various fields, including economics, psychology, and engineering. In economics, for example, policymakers might manipulate interest rates (the manipulated variable) to observe how it affects consumer spending and investment. Similarly, psychologists may change the level of stimulus presented to participants in a study to see how it impacts their responses.Understanding the manipulated variable is not only important for scientists but also for students and individuals engaged in analytical thinking. It encourages critical thinking skills, as one must consider how altering one aspect of a situation can lead to different outcomes. This principle can be applied in everyday life, from making decisions about personal finance to evaluating the effectiveness of new strategies in business.In conclusion, the manipulated variable serves as a cornerstone of experimental design across multiple disciplines. By recognizing and controlling this variable, researchers can better understand causal relationships and draw meaningful conclusions from their studies. Whether in a laboratory setting or in real-world applications, the concept of the manipulated variable fosters a deeper comprehension of the dynamics at play in various systems, ultimately enhancing our ability to make informed decisions based on empirical evidence.

在科学实验的领域中，理解影响实验结果的组成部分至关重要。一个基本概念是操纵变量，它指的是研究者故意改变的因素，以观察其对另一个变量的影响。这个变量也被称为独立变量，它在确定实验中不同因素之间的关系方面起着重要作用。为了说明操纵变量的重要性，让我们考虑一个简单的例子，涉及植物生长。假设一位科学家想要研究不同阳光照射量如何影响特定植物种类的生长速度。在这种情况下，植物接受的阳光量就是操纵变量。研究者可以通过将植物放置在不同光照条件下的位置来控制这个变量。随着实验的进行，科学家将测量植物的生长，这构成了依赖变量或响应变量。通过系统地改变阳光的量并观察植物生长的相应变化，研究者可以得出关于阳光照射与植物生长之间关系的结论。这个过程突显了操纵变量在实验设计中的重要性，因为它允许孤立出可能影响结果的特定因素。此外，仔细选择和操纵变量对于确保实验结果的有效性和可靠性至关重要。如果研究者未能充分控制操纵变量，结果可能会受到其他外部因素的干扰，从而导致误导性的结论。例如，如果我们例子中的科学家在不控制水量的情况下也改变了植物的水分供给，那么就很难确定生长变化是由于阳光还是水分的可用性。除了科学研究外，操纵变量的概念还扩展到多个领域，包括经济学、心理学和工程学。在经济学中，例如，政策制定者可能会操纵利率（操纵变量）以观察其如何影响消费者支出和投资。同样，心理学家可能会改变研究参与者所呈现的刺激水平，以查看其对他们反应的影响。理解操纵变量不仅对科学家重要，对学生和参与分析思维的人士也同样重要。它鼓励批判性思维技能，因为人们必须考虑改变一个情况的某个方面如何导致不同的结果。这个原则可以应用于日常生活，从个人理财决策到评估新商业策略的有效性。总之，操纵变量是跨多个学科的实验设计的基石。通过识别和控制这个变量，研究者可以更好地理解因果关系，并从他们的研究中得出有意义的结论。无论是在实验室环境中还是在现实世界的应用中，操纵变量的概念促进了我们对各种系统中动态的更深入理解，最终增强了我们基于实证证据做出明智决策的能力。