homogeneous sample

简明释义

均质抽样

英英释义

例句

1.For the clinical trial, researchers required a homogeneous sample of participants to minimize variability.

为了临床试验，研究人员需要一个均匀样本的参与者以最小化变异性。

2.In our chemistry experiment, we need to ensure that we have a homogeneous sample to get accurate results.

在我们的化学实验中，我们需要确保我们有一个均匀样本以获得准确的结果。

3.The homogeneous sample of soil was collected from multiple locations to ensure consistency in the analysis.

从多个地点收集的均匀样本土壤以确保分析的一致性。

4.A homogeneous sample of metal was analyzed to determine its properties accurately.

对一份均匀样本金属进行了分析，以准确确定其特性。

5.To test the new drug, scientists used a homogeneous sample of cells cultured under the same conditions.

为了测试新药，科学家们使用了在相同条件下培养的均匀样本细胞。

作文

In the field of research and statistics, the concept of a homogeneous sample plays a crucial role in ensuring the validity and reliability of results. A homogeneous sample refers to a group of subjects or items that share similar characteristics, making them uniform in nature. This uniformity is essential because it allows researchers to minimize the variability that could skew their findings. For example, if a scientist is studying the effects of a new drug on blood pressure, they would ideally want to work with a homogeneous sample of participants who are of similar age, health status, and lifestyle. By doing so, the researcher can better isolate the drug's effects from other variables that might influence the outcome.Using a homogeneous sample can significantly enhance the quality of research. When all participants are similar, it reduces the chances of confounding factors affecting the results. In contrast, a heterogeneous sample, which includes individuals with diverse characteristics, may introduce variability that complicates the interpretation of data. For instance, if the same drug study included participants of varying ages and health conditions, it would be challenging to determine whether changes in blood pressure were due to the drug or other underlying factors.Moreover, a homogeneous sample facilitates the process of replication in scientific studies. Replicability is a cornerstone of scientific research; it allows other scientists to repeat experiments and verify results. When studies utilize homogeneous samples, it becomes easier for others to replicate the research under similar conditions, thereby strengthening the credibility of the findings.However, while there are many advantages to using a homogeneous sample, researchers must also be cautious. Overly restricting the sample can lead to issues with generalizability. If a study's findings are based solely on a homogeneous sample, it may not be applicable to the broader population. For example, if a drug's effectiveness is tested only on young adults, the results may not hold true for older adults or those with different health conditions. Therefore, while a homogeneous sample is beneficial for controlling variables, researchers must balance this with the need for diversity to ensure that their conclusions are relevant to a wider audience.In conclusion, the use of a homogeneous sample is vital in research for achieving accurate and reliable results. It minimizes variability, enhances replicability, and allows researchers to draw clearer conclusions. However, researchers should also remain aware of the potential limitations regarding the applicability of their findings to the general population. Striking a balance between homogeneity and diversity is essential for producing meaningful and impactful research outcomes. Ultimately, understanding the implications of using a homogeneous sample can lead to more robust scientific inquiries and advancements in knowledge across various fields.

在研究和统计的领域中，均质样本的概念在确保结果的有效性和可靠性方面起着至关重要的作用。均质样本是指一组具有相似特征的受试者或项目，使其在性质上保持一致。这种一致性是非常重要的，因为它使研究人员能够最小化可能扭曲其发现的变异性。例如，如果一位科学家正在研究一种新药对血压的影响，他们理想情况下希望与一个具有相似年龄、健康状况和生活方式的参与者的均质样本进行工作。通过这样做，研究人员可以更好地将药物的效果与可能影响结果的其他变量分开。使用均质样本可以显著提高研究的质量。当所有参与者都相似时，它减少了混杂因素影响结果的机会。相反，异质样本，包括具有不同特征的个体，可能会引入复杂化数据解释的变异性。例如，如果同一药物研究包括不同年龄和健康状况的参与者，那么就很难确定血压变化是由药物引起的还是由其他潜在因素引起的。此外，均质样本有助于科学研究中的复制过程。可重复性是科学研究的基石；它允许其他科学家重复实验并验证结果。当研究利用均质样本时，其他人更容易在相似条件下复制研究，从而增强发现的可信度。然而，尽管使用均质样本有许多优点，研究人员也必须保持警惕。过于限制样本可能会导致普适性问题。如果一项研究的发现仅基于均质样本，那么它可能不适用于更广泛的人群。例如，如果一种药物的有效性只在年轻人中测试，则结果可能不适用于老年人或健康状况不同的人。因此，虽然均质样本在控制变量方面是有益的，但研究人员必须在多样性和均质性之间取得平衡，以确保他们的结论对更广泛的观众是相关的。总之，使用均质样本在研究中对于获得准确和可靠的结果至关重要。它最小化了变异性，增强了可重复性，使研究人员能够得出更清晰的结论。然而，研究人员还应意识到其发现对一般人群适用性的潜在局限性。在均质性和多样性之间取得平衡对于产生有意义和有影响力的研究成果至关重要。最终，理解使用均质样本的含义可以促进更强有力的科学探究和各个领域知识的进步。