among samples

简明释义

样本间;

英英释义

例句

1.Statistical tests were applied to determine the significance of differences among samples.

统计测试被应用于确定样本之间差异的显著性。

2.The results were consistent among samples, indicating a reliable method.

结果在样本之间是一致的，表明方法可靠。

3.The researcher found significant differences in the data collected among samples.

研究人员发现收集的数据在样本之间存在显著差异。

4.The contamination level varied among samples taken from different locations.

来自不同地点的样本中，污染水平在样本之间有所不同。

5.We need to analyze the variability among samples to improve our product quality.

我们需要分析样本之间的变异性，以提高产品质量。

作文

In the field of scientific research, it is crucial to analyze various data sets to draw accurate conclusions. One common practice is to collect multiple data points from different sources and compare them to identify trends and patterns. This process often involves utilizing statistical methods to ensure that the findings are robust and reliable. For instance, when conducting a study on the effectiveness of a new medication, researchers might gather data from a diverse group of participants. By examining the results among samples, they can determine how different demographics respond to the treatment. This comparative analysis is essential, as it helps researchers understand the variability in responses and identify any potential side effects that may not be apparent when looking at a single group. Furthermore, analyzing data among samples allows scientists to validate their hypotheses and ensure that their conclusions are not biased by an unrepresentative sample. In clinical trials, for example, the data collected among samples can reveal significant differences in efficacy based on age, gender, or underlying health conditions. Therefore, it is imperative for researchers to consider the diversity of their samples to enhance the generalizability of their findings.Moreover, the importance of analyzing variations among samples extends beyond medical research. In fields such as environmental science, researchers may study the impact of pollution on different ecosystems. By collecting data among samples from various locations, they can assess how different environmental factors influence the health of species in those areas. This comprehensive approach enables scientists to make informed recommendations for conservation efforts and policy changes. Similarly, in social sciences, understanding the differences among samples can provide insights into societal trends and behaviors. For instance, survey data collected among samples from different socioeconomic backgrounds can reveal disparities in access to education or healthcare, prompting necessary interventions. In conclusion, the analysis of data among samples is a fundamental aspect of research across various disciplines. It allows researchers to draw meaningful conclusions, identify trends, and make informed decisions based on comprehensive evidence. By considering the diversity among samples, scientists can enhance the reliability and validity of their findings, ultimately contributing to advancements in knowledge and improvements in society. Therefore, it is essential for researchers to prioritize this practice in their studies to ensure that their work has a lasting impact and serves the greater good.

在科学研究领域，分析各种数据集以得出准确结论至关重要。一种常见的做法是从不同来源收集多个数据点，并进行比较，以识别趋势和模式。这一过程通常涉及利用统计方法，以确保研究结果的稳健性和可靠性。例如，在进行新药有效性研究时，研究人员可能会从多样化的参与者群体中收集数据。通过检查结果among samples，他们可以确定不同人口统计特征对治疗的反应。这种比较分析非常重要，因为它帮助研究人员理解反应的变异性，并识别在观察单一群体时可能未显现的潜在副作用。此外，分析数据among samples使科学家能够验证他们的假设，并确保他们的结论不受非代表性样本的偏见影响。在临床试验中，例如，收集的数据among samples可以揭示基于年龄、性别或潜在健康状况的疗效显著差异。因此，研究人员必须考虑样本的多样性，以增强其发现的普遍适用性。此外，分析among samples的变异性的重要性超出了医学研究。在环境科学等领域，研究人员可能会研究污染对不同生态系统的影响。通过从各个地点收集数据among samples，他们可以评估不同环境因素如何影响这些地区物种的健康。这种全面的方法使科学家能够为保护工作和政策变化提出明智的建议。同样，在社会科学中，理解among samples的差异可以提供对社会趋势和行为的洞察。例如，从不同社会经济背景收集的调查数据among samples可以揭示教育或医疗保健获取方面的差距，从而促使必要的干预。总之，分析数据among samples是各学科研究的基本方面。它使研究人员能够得出有意义的结论，识别趋势，并根据全面的证据做出明智的决策。通过考虑among samples的多样性，科学家可以增强其发现的可靠性和有效性，最终为知识的进步和社会的改善做出贡献。因此，研究人员在其研究中优先考虑这一做法，以确保他们的工作具有持久影响并服务于更大的利益，是至关重要的。