significant level

简明释义

有效电平

英英释义

例句

1.The environmental report indicated a significant level of pollution in the river that requires urgent attention.

环境报告指出，河流中存在需要紧急关注的显著水平的污染。

2.The survey revealed a significant level of dissatisfaction among employees regarding the new policy.

调查显示，员工对新政策的显著水平的不满。

3.The study found a significant level of improvement in patient recovery times after the new treatment was introduced.

研究发现，在新治疗方法引入后，患者恢复时间有了显著水平的改善。

4.Our team achieved a significant level of sales growth this quarter compared to last year.

与去年相比，我们团队本季度实现了显著水平的销售增长。

5.There is a significant level of correlation between exercise and mental health benefits, according to recent research.

根据最近的研究，锻炼与心理健康益处之间存在显著水平的相关性。

作文

In today's world, the term significant level (显著水平) is frequently used in various fields, including science, economics, and social studies. Understanding this concept is crucial for interpreting data and making informed decisions. A significant level is often associated with statistical analysis, where it indicates the threshold at which we can confidently reject the null hypothesis. In simpler terms, it helps researchers determine whether their findings are due to chance or if they reflect a true effect. For instance, in medical research, a study might find that a new drug reduces symptoms of a disease. Researchers will set a significant level (显著水平) before conducting their tests, commonly at 0.05. If the results yield a p-value lower than this threshold, they can conclude that the drug has a statistically significant effect. This process is vital because it ensures that the conclusions drawn from the research are reliable and can be trusted by the medical community and patients alike.In the realm of economics, the concept of significant level (显著水平) plays a similar role. Economists often analyze data to understand trends and make predictions about market behavior. By establishing a significant level, they can assess whether observed changes in economic indicators, such as unemployment rates or inflation, are meaningful or merely fluctuations that occur by chance. This is particularly important for policymakers who rely on accurate data to formulate effective economic policies.Moreover, in social sciences, the significant level (显著水平) is essential for understanding human behavior and societal trends. Researchers conduct surveys and experiments to gather data on various social phenomena. By applying a significant level, they can validate their findings, ensuring that their conclusions about social issues, such as education disparities or crime rates, are based on solid evidence rather than random occurrences.However, it is important to note that the significant level (显著水平) is not a one-size-fits-all measure. Different fields may adopt varying thresholds depending on the context of the research. For example, in some scientific disciplines, a more stringent significant level may be set, such as 0.01, to minimize the risk of false positives. Conversely, exploratory studies may use a more lenient threshold to generate hypotheses for further testing.In conclusion, the concept of significant level (显著水平) is foundational in research across multiple disciplines. It provides a framework for evaluating data and drawing conclusions that can influence real-world decisions. As we continue to navigate an increasingly complex world, understanding and applying the significant level will remain vital for researchers, policymakers, and anyone seeking to make sense of the vast amounts of information available today. By recognizing the importance of this concept, we can enhance our ability to interpret data accurately and make informed choices based on solid evidence.

在当今世界，术语significant level（显著水平）在科学、经济学和社会研究等各个领域中被频繁使用。理解这个概念对于解释数据和做出明智的决策至关重要。significant level通常与统计分析相关，它表示我们可以自信地拒绝零假设的阈值。简单来说，它帮助研究人员确定他们的发现是由于偶然还是反映了真实的效果。例如，在医学研究中，一项研究可能发现一种新药能减轻某种疾病的症状。研究人员会在进行测试之前设置一个significant level（显著水平），通常为0.05。如果结果的p值低于这一阈值，他们可以得出结论，认为该药物具有统计学上的显著效果。这个过程至关重要，因为它确保从研究中得出的结论是可靠的，可以被医学界和患者信任。在经济学领域，significant level（显著水平）的概念发挥着类似的作用。经济学家经常分析数据，以了解趋势并对市场行为做出预测。通过建立significant level，他们可以评估经济指标（如失业率或通货膨胀）观察到的变化是否有意义，还是仅仅是偶然发生的波动。这对于依赖准确数据制定有效经济政策的决策者尤为重要。此外，在社会科学中，significant level（显著水平）对于理解人类行为和社会趋势至关重要。研究人员进行调查和实验，以收集有关各种社会现象的数据。通过应用significant level，他们可以验证自己的发现，确保关于教育差距或犯罪率等社会问题的结论是基于坚实的证据，而不是随机事件。然而，重要的是要注意，significant level（显著水平）并不是一个适用于所有情况的测量标准。不同领域可能根据研究的背景采用不同的阈值。例如，在某些科学学科中，可能会设置更严格的significant level，如0.01，以最小化假阳性的风险。相反，探索性研究可能会使用更宽松的阈值，以生成进一步测试的假设。总之，significant level（显著水平）的概念在多个学科的研究中是基础性的。它为评估数据和得出结论提供了框架，这些结论可能会影响现实世界的决策。随着我们继续在日益复杂的世界中航行，理解和应用significant level将对研究人员、政策制定者以及任何寻求理解当今海量信息的人仍然至关重要。通过认识到这一概念的重要性，我们可以增强准确解读数据和基于坚实证据做出明智选择的能力。