samples
简明释义
n. [图情]样品；采样；例子（sample 的复数形式）
n. （Samples）人名；（英）桑普尔斯
英英释义
A sample is a small part or quantity intended to show what the whole is like. | 样本是指一小部分或数量，旨在展示整体的特征。 |
Samples can refer to items selected for testing or analysis. | 样本可以指为测试或分析而选择的项目。 |
单词用法
样本数；样本组数 |
同义词
| 标本 | 实验室收集了几个标本进行分析。 | ||
| 例子 | 他在面试中提供了他的工作例子。 | ||
| 原型 | 公司制作了原型来测试新设计。 | ||
| 样本 | We need to gather samples from different locations for the study. | 我们需要从不同地点收集样本以进行研究。 |
反义词
| 总体 | 这个城市的人口正在快速增长。 | ||
| 整体 | We need to consider the whole picture before making a decision. | 在做决定之前，我们需要考虑整体情况。 |
例句
1.After participants had tasted or smelled both samples, they indicated which one they preferred.
在参与者尝过或闻过两种样品后，他们指出他们更喜欢哪种。
2.On half of the trials, however, these were samples of the non-chosen jam or tea.
然而，在一半的试验中，这些是未被选择的果酱或茶的样本。
3.Samples were collected from over 200 patients.
已从200多名病人取样。
4.The blood samples are sent to the laboratory for analysis.
血样要送往实验室进行分析。
5.We're giving away 2,000 free samples.
我们正在赠送2000件免费样品。
6.I wouldn't give for a few samples of it.
我不会牺牲它的几个样品的。
7.For one thing, they're reliable insofar as they're based on unbiased samples.
首先，如若它们基于无偏见的样本，那么它们就很可靠。
8.Researchers collected samples from various locations for their study.
研究人员从不同地点收集了样本用于他们的研究。
9.You can request samples of fabric before making a large order.
在下大订单之前，你可以请求布料的样品。
10.The doctor took blood samples to run some tests.
医生抽取了血液样本以进行一些测试。
11.The bakery offered free samples to attract new customers.
这家面包店提供免费的样品以吸引新顾客。
12.At the trade show, many companies were giving away samples of their products.
在交易会上，许多公司都在赠送他们产品的样品。
作文
In the world of research and development, the term samples refers to small portions or examples taken from a larger population or group. These samples are crucial in various fields such as science, marketing, and quality control. By studying samples, researchers can make inferences about the entire population without needing to examine every individual. This not only saves time and resources but also allows for more efficient data analysis.For instance, in a scientific study, researchers might collect blood samples from a group of patients to understand the effects of a new medication. By analyzing these samples, they can draw conclusions about how the medication affects the broader population. Similarly, in market research, companies often distribute product samples to potential customers to gauge interest and gather feedback. This strategy helps businesses refine their products before a full-scale launch.Quality control is another area where samples play a vital role. Manufacturers often take samples from production batches to test for defects or ensure that products meet certain standards. By examining these samples, companies can identify issues early on and make necessary adjustments, thus maintaining high-quality output.Moreover, the process of collecting samples must be done carefully to ensure that they are representative of the whole. This means that researchers must consider factors such as sample size, randomness, and diversity. A well-collected set of samples can lead to more accurate and reliable results, while poorly collected samples may lead to misleading conclusions.In educational settings, students often work with samples to learn about statistical concepts. For example, they might conduct surveys and analyze samples of responses to understand trends or patterns within a larger dataset. This hands-on experience helps students grasp the importance of samples in real-world applications.In conclusion, samples are an essential component of research and analysis across multiple disciplines. They allow for efficient data collection and analysis, helping researchers and businesses make informed decisions. Understanding how to properly collect and analyze samples is a fundamental skill that can greatly enhance the quality of research and product development. As we continue to navigate a world filled with vast amounts of data, the ability to effectively utilize samples will remain a valuable asset in both academic and professional contexts.
在研究和开发的世界中，术语样本指的是从较大群体或组中提取的小部分或示例。这些样本在科学、市场营销和质量控制等多个领域至关重要。通过研究样本，研究人员可以对整个群体做出推断，而无需检查每一个个体。这不仅节省了时间和资源，而且还允许更有效的数据分析。例如，在科学研究中，研究人员可能会从一组患者那里收集血液样本，以了解新药物的效果。通过分析这些样本，他们可以得出关于药物如何影响更广泛人群的结论。同样，在市场研究中，公司通常会向潜在客户分发产品样本，以评估兴趣并收集反馈。这一策略帮助企业在全面推出之前完善其产品。质量控制是另一个样本发挥重要作用的领域。制造商通常会从生产批次中提取样本，以测试缺陷或确保产品符合某些标准。通过检查这些样本，公司可以及早识别问题并进行必要的调整，从而保持高质量的输出。此外，收集样本的过程必须谨慎进行，以确保它们具有代表性。这意味着研究人员必须考虑样本大小、随机性和多样性等因素。精心收集的样本可以导致更准确和可靠的结果，而收集不当的样本可能导致误导性结论。在教育环境中，学生通常会使用样本来学习统计概念。例如，他们可能进行调查并分析样本响应，以了解更大数据集中的趋势或模式。这种实践经验帮助学生掌握样本在现实应用中的重要性。总之，样本是多个学科研究和分析的重要组成部分。它们允许高效的数据收集和分析，帮助研究人员和企业做出明智的决策。理解如何正确收集和分析样本是一项基本技能，可以大大提高研究和产品开发的质量。随着我们继续在充满大量数据的世界中导航，有效利用样本的能力将始终是学术和专业环境中的宝贵资产。
