observed value

简明释义

观测值

英英释义

例句

1.The experiment yielded an observed value that was significantly higher than expected.

实验产生的观察值明显高于预期。

2.We compared the observed value with the theoretical value to assess the accuracy of our model.

我们将观察值与理论值进行比较，以评估模型的准确性。

3.In statistical analysis, the observed value is crucial for determining the validity of a hypothesis.

在统计分析中，观察值对于确定假设的有效性至关重要。

4.The observed value of temperature was recorded every hour during the experiment.

在实验过程中，每小时记录一次温度的观察值。

5.After several trials, the observed value stabilized around the expected range.

经过几次试验，观察值稳定在预期范围内。

作文

In the field of science and statistics, the term observed value refers to a measurement or data point that has been collected through observation or experimentation. It is a crucial concept because it represents the actual results obtained from an experiment or study, as opposed to theoretical predictions or expected values. Understanding observed value is essential for interpreting data accurately and making informed decisions based on empirical evidence.For instance, consider a simple experiment where a scientist measures the height of a plant over a period of time. The observed value in this case would be the actual height recorded at specific intervals, such as 10 cm, 15 cm, and so on. These measurements are vital because they provide concrete evidence of how the plant is growing under certain conditions. If the scientist had only relied on theoretical growth predictions without considering the observed value, they might draw incorrect conclusions about the plant's health or the effectiveness of the growth conditions.Moreover, in statistical analyses, observed value plays a significant role in hypothesis testing. Researchers often formulate a null hypothesis, which is a statement that there is no effect or no difference. By comparing the observed value to the expected value under the null hypothesis, researchers can determine whether to reject or fail to reject the null hypothesis. This process is fundamental in fields ranging from psychology to medicine, where understanding the significance of results can lead to breakthroughs in knowledge and practice.Another important aspect of observed value is its relationship with variability and error. When conducting experiments, it is common to encounter discrepancies between the observed value and what was expected. These differences can arise due to measurement errors, environmental factors, or inherent variability in the subject being studied. For example, if a researcher is measuring the temperature of a solution, the observed value may fluctuate due to slight changes in room temperature or equipment calibration. Recognizing these factors is crucial for scientists to refine their methods and improve the accuracy of their observed value.In conclusion, the concept of observed value is fundamental in scientific research and statistical analysis. It provides a basis for understanding real-world phenomena and making evidence-based conclusions. By focusing on observed value, researchers can bridge the gap between theory and practice, ensuring that their findings reflect true conditions rather than mere speculation. As we continue to advance in various fields of study, the importance of accurately measuring and interpreting observed value will remain a cornerstone of scientific inquiry.

在科学和统计学领域，术语observed value指的是通过观察或实验收集的测量值或数据点。这是一个至关重要的概念，因为它代表了通过实验或研究获得的实际结果，而不是理论预测或预期值。理解observed value对于准确解释数据和根据实证证据做出明智决策至关重要。例如，考虑一个简单的实验，其中科学家在一段时间内测量植物的高度。在这种情况下，observed value将是特定时间间隔内记录的实际高度，例如10厘米、15厘米等等。这些测量值至关重要，因为它们提供了植物在特定条件下生长的具体证据。如果科学家仅依赖理论生长预测而不考虑observed value，他们可能会对植物的健康或生长条件的有效性得出错误的结论。此外，在统计分析中，observed value在假设检验中发挥着重要作用。研究人员通常会制定零假设，即没有效果或没有差异的陈述。通过将observed value与零假设下的预期值进行比较，研究人员可以确定是否拒绝或未能拒绝零假设。这个过程在心理学到医学等领域是基础性的，理解结果的重要性可以导致知识和实践的突破。observed value的另一个重要方面是它与变异性和误差的关系。在进行实验时，常常会遇到observed value与预期之间的差异。这些差异可能由于测量误差、环境因素或被研究对象固有的变异性而产生。例如，如果研究人员正在测量溶液的温度，observed value可能会因室温或设备校准的轻微变化而波动。认识到这些因素对于科学家改进方法和提高observed value的准确性至关重要。总之，observed value的概念在科学研究和统计分析中是基础性的。它为理解现实世界现象和得出基于证据的结论提供了基础。通过关注observed value，研究人员可以弥合理论与实践之间的差距，确保他们的发现反映真实条件，而不仅仅是猜测。随着我们在各个研究领域的不断进步，准确测量和解释observed value的重要性将继续成为科学探究的基石。