small sample

简明释义

小试样

英英释义

例句

1.The company launched a pilot program with a small sample of customers to test the new service.

公司与一组小样本客户启动了试点项目，以测试新服务。

2.The researchers conducted a study using a small sample of participants to understand the effects of the new drug.

研究人员使用一组小样本参与者进行了一项研究，以了解新药的效果。

3.Due to budget constraints, we only had a small sample of data to analyze for our project.

由于预算限制，我们只能分析一个小样本的数据来完成我们的项目。

4.In statistics, conclusions drawn from a small sample may not be reliable.

在统计学中，从小样本得出的结论可能不可靠。

5.We gathered feedback from a small sample of users before rolling out the final version of the app.

在推出应用程序的最终版本之前，我们从一个小样本用户那里收集了反馈。

作文

In the realm of research and data analysis, the term small sample refers to a limited number of observations or data points collected during a study. This concept is crucial because it can significantly impact the validity and reliability of the results obtained. When researchers work with a small sample, they must navigate the challenges that come with drawing conclusions from insufficient data. One of the primary issues associated with a small sample is the potential for sampling error. Sampling error occurs when the sample does not accurately represent the larger population from which it is drawn. For instance, if a survey is conducted on a small sample of individuals in a specific geographic area, the findings may not be applicable to the entire population. This limitation can lead to skewed results and misinformed decisions based on incomplete information.Moreover, a small sample size can reduce the statistical power of a study. Statistical power is the probability that a test will correctly reject a false null hypothesis. In simpler terms, it is the ability of a study to detect an effect when there is one. With a small sample, the likelihood of detecting a true effect diminishes, increasing the risk of Type II errors, where researchers fail to identify significant differences or relationships that actually exist.To illustrate this point, consider a clinical trial testing a new medication. If the trial involves only a small sample of participants, the results may suggest that the medication is ineffective or has adverse effects when, in reality, a larger cohort might reveal its efficacy and safety. Therefore, researchers must be cautious when interpreting results derived from a small sample and should emphasize the need for further studies with larger groups to corroborate their findings.In addition to these statistical concerns, ethical implications arise when working with a small sample. Researchers have a responsibility to ensure that their findings contribute to the broader body of knowledge and do not mislead stakeholders. If decisions are made based on a small sample, it could lead to inappropriate policies or practices that affect people's lives.On the other hand, there are scenarios where a small sample can be beneficial. In exploratory research, for example, a small sample might provide initial insights that can guide future studies. Researchers often use qualitative methods, such as interviews or focus groups, with a small sample to gather rich, detailed information that can inform larger quantitative studies later on.In conclusion, while working with a small sample presents several challenges, it is essential for researchers to approach their findings with caution and transparency. The limitations of a small sample must be clearly communicated to avoid misleading interpretations. Ultimately, understanding the implications of a small sample is vital for conducting rigorous research and making informed decisions based on data.

在研究和数据分析领域，术语小样本指的是在研究过程中收集的有限观察或数据点数量。这个概念至关重要，因为它可能显著影响所获得结果的有效性和可靠性。当研究人员使用小样本时，他们必须应对从不足的数据中得出结论所带来的挑战。与小样本相关的主要问题之一是抽样误差的潜在性。抽样误差发生在样本未能准确代表其所抽取的更大总体时。例如，如果在特定地理区域对一小样本个体进行调查，所得到的结果可能不适用于整个群体。这种限制可能导致结果偏差，并基于不完整的信息做出错误决策。此外，小样本大小可能降低研究的统计效能。统计效能是测试正确拒绝错误的零假设的概率。简单来说，它是研究检测实际存在的效应的能力。使用小样本时，检测真实效应的可能性降低，从而增加了第二类错误的风险，即研究人员未能识别实际上存在的显著差异或关系。为了说明这一点，考虑一个测试新药物的临床试验。如果试验仅涉及小样本参与者，结果可能表明该药物无效或有不良反应，而实际上，较大的受试者群体可能会显示出其有效性和安全性。因此，研究人员在解释源自小样本的结果时必须谨慎，并强调需要进一步的研究以更大规模的群体证实他们的发现。除了这些统计问题外，处理小样本时还会出现伦理问题。研究人员有责任确保他们的发现有助于更广泛的知识体系，并且不会误导利益相关者。如果基于小样本做出决策，可能会导致不适当的政策或实践，影响人们的生活。另一方面，在某些情况下，小样本可能是有益的。例如，在探索性研究中，小样本可能提供初步见解，从而指导未来的研究。研究人员通常使用定性方法，如访谈或焦点小组，针对小样本收集丰富、详细的信息，以便在之后进行更大规模的定量研究。总之，尽管使用小样本面临多种挑战，但研究人员必须谨慎和透明地对待他们的发现。必须清晰地传达小样本的局限性，以避免误导性的解释。最终，理解小样本的含义对于进行严格的研究和基于数据做出明智的决策至关重要。