coincidence adjustment

简明释义

重合平差

英英释义

例句

1.By applying a coincidence adjustment, the team was able to isolate the true effects of the treatment in their clinical trial.

通过应用巧合调整，团队能够在临床试验中隔离治疗的真实效果。

2.In our recent study, we found that a coincidence adjustment was necessary to account for unexpected correlations.

在我们最近的研究中，我们发现需要进行巧合调整以考虑意外的相关性。

3.The researchers implemented a coincidence adjustment to ensure that their statistical analysis accurately reflected the data trends.

研究人员实施了巧合调整以确保他们的统计分析准确反映数据趋势。

4.The financial analyst suggested a coincidence adjustment to improve the accuracy of the profit forecasts.

金融分析师建议进行巧合调整以提高利润预测的准确性。

5.The software includes a coincidence adjustment feature that helps users analyze large datasets more effectively.

该软件包括一个巧合调整功能，帮助用户更有效地分析大型数据集。

作文

In the realm of statistics and data analysis, the concept of coincidence adjustment plays a crucial role in ensuring the accuracy and reliability of results. This process involves modifying the data to account for the likelihood of coincidental occurrences, which can skew the interpretation of results. For instance, when analyzing patterns within large datasets, one might observe certain trends that appear significant at first glance. However, without proper coincidence adjustment, these trends may simply be random flukes rather than meaningful insights. To illustrate this point, consider a scenario in which a researcher is studying the correlation between two variables, such as weather patterns and the incidence of certain illnesses. Initially, the data might suggest a strong relationship; however, upon applying coincidence adjustment, the researcher discovers that the observed correlation was largely due to random chance. By adjusting for these coincidences, the researcher can arrive at more reliable conclusions that better reflect the underlying reality.Furthermore, coincidence adjustment is not limited to just statistical analysis. It is also applicable in various fields such as psychology, economics, and even machine learning. In psychology, for example, researchers often conduct experiments to test hypotheses about human behavior. Without coincidence adjustment, they might incorrectly attribute certain behaviors to specific causes, overlooking the possibility that those behaviors could have occurred by chance. Similarly, in economics, policymakers rely on data-driven decisions. If the data is not adjusted for coincidences, it can lead to misguided policies that do not address the actual issues at hand.The importance of coincidence adjustment cannot be overstated. As our world becomes increasingly data-driven, the need for accurate interpretations of data grows. With the advent of big data and advanced analytics, the potential for misinterpretation rises dramatically. Therefore, implementing coincidence adjustment methodologies is essential for researchers and analysts who seek to draw valid conclusions from their data.In conclusion, coincidence adjustment serves as a vital tool in the arsenal of statisticians and researchers. It ensures that findings are not merely products of chance but are instead reflective of genuine relationships within the data. By acknowledging and adjusting for coincidences, we can enhance the quality of our analyses and make more informed decisions based on the insights gleaned from our data. As we move forward in an era dominated by data, embracing coincidence adjustment will be key to unlocking the true potential of our analytical capabilities.

在统计学和数据分析领域，coincidence adjustment（巧合调整）这一概念在确保结果的准确性和可靠性方面发挥着至关重要的作用。这个过程涉及对数据进行修改，以考虑到巧合发生的可能性，这可能会扭曲结果的解释。例如，在分析大型数据集中的模式时，人们可能会观察到某些趋势，乍一看似乎是显著的。然而，如果不进行适当的coincidence adjustment，这些趋势可能仅仅是随机的偶然现象，而不是有意义的见解。为了说明这一点，考虑一个研究人员正在研究两个变量之间的相关性的场景，例如天气模式与某些疾病发生率之间的关系。最初，数据可能表明强烈的关系；然而，在应用coincidence adjustment后，研究人员发现观察到的相关性在很大程度上是由于随机机会造成的。通过调整这些巧合，研究人员可以得出更可靠的结论，更好地反映潜在的现实。此外，coincidence adjustment不仅限于统计分析。它也适用于心理学、经济学以及机器学习等各个领域。例如，在心理学中，研究人员经常进行实验以测试关于人类行为的假设。如果不进行coincidence adjustment，他们可能会错误地将某些行为归因于特定原因，而忽视这些行为可能是偶然发生的可能性。同样，在经济学中，政策制定者依赖于数据驱动的决策。如果数据没有经过巧合调整，可能会导致误导性的政策，未能解决实际问题。coincidence adjustment的重要性不容小觑。随着我们的世界变得越来越依赖数据，对数据的准确解释的需求也在增长。随着大数据和先进分析的出现，误解的潜力急剧上升。因此，实施coincidence adjustment方法对于寻求从数据中得出有效结论的研究人员和分析师来说是至关重要的。总之，coincidence adjustment在统计学家和研究人员的工具箱中作为一项重要工具。它确保发现不仅仅是偶然的产物，而是反映了数据中真实关系的结果。通过承认和调整巧合，我们可以提高分析的质量，并基于从数据中获得的见解做出更明智的决策。随着我们进入一个数据主导的时代，拥抱coincidence adjustment将是释放我们分析能力真正潜力的关键。