sample passers; sampler

简明释义

样品检查员

英英释义

例句

1.During the food festival, the sample passers 样品派发员 offered small bites of various dishes to entice customers.

在美食节期间，样品派发员 sample passers 提供各种菜肴的小样，以吸引顾客。

2.The marketing team hired a professional sampler 样品收集者 to gather feedback on their new product line.

营销团队雇佣了一位专业的样品收集者 sampler 来收集他们新产品系列的反馈。

3.The company organized a focus group where a sampler 样品收集者 presented different flavors for participants to taste.

公司组织了一个焦点小组，一位样品收集者 sampler 为参与者展示了不同的口味供他们品尝。

4.At the trade show, the sample passers 样品派发员 were busy distributing brochures and product samples to attendees.

在贸易展上，样品派发员 sample passers 忙着向与会者分发宣传册和产品样品。

5.At the supermarket, the sample passers 样品派发员 were handing out free samples of the new snack.

在超市里，样品派发员 sample passers 正在分发新零食的免费样品。

作文

In the world of research and data collection, the terms sample passers; sampler play a crucial role. Understanding these concepts is essential for anyone involved in gathering information or conducting surveys. A sampler is a tool or individual that takes samples from a larger population to analyze certain characteristics or behaviors. This process is vital in various fields such as marketing, healthcare, and social sciences. The effectiveness of any study often hinges on how well the sampling is conducted. For instance, in market research, a company may want to understand consumer preferences regarding a new product. Here, sample passers; sampler come into play. These individuals are responsible for selecting a diverse group of participants that accurately represents the target market. If the sample is biased or not representative, the results of the research could lead to misguided business decisions. Therefore, the role of a sampler is not just about collecting data, but ensuring that the data collected is valid and reliable.Moreover, the concept of sample passers; sampler extends beyond just human involvement. In scientific research, automated systems can act as samplers, collecting data from various sources without human intervention. For example, environmental studies often use sensors to take samples of air, water, and soil. These sensors serve as samplers, providing critical data that researchers analyze to understand environmental changes and impacts.The importance of accurate sampling cannot be overstated. In clinical trials, for instance, the selection of participants is crucial for determining the efficacy of a new drug. If the sample passers; sampler fail to include a diverse range of participants, the results may not be applicable to the general population. This could lead to ineffective treatments being approved or safe treatments being overlooked. Hence, the integrity of the sampling process is fundamental to the success of the research.Additionally, understanding the dynamics of sample passers; sampler helps researchers design better studies. By recognizing the different types of sampling methods—random sampling, stratified sampling, and cluster sampling—researchers can choose the most appropriate method for their specific needs. Each method has its advantages and disadvantages, and knowing when to use which type can significantly affect the outcomes of the study.In conclusion, the terms sample passers; sampler encapsulate a vital aspect of research methodology. Whether in marketing, healthcare, or environmental studies, the role of samplers is indispensable. They ensure that the data collected is both representative and reliable, ultimately influencing the decisions made based on that data. As we continue to navigate an increasingly data-driven world, understanding the significance of sample passers; sampler will become even more critical. Researchers, marketers, and policymakers alike must appreciate the nuances of sampling to make informed decisions that can lead to successful outcomes.

在研究和数据收集的世界中，术语样本传递者; 采样器起着至关重要的作用。理解这些概念对于任何参与信息收集或进行调查的人来说都是必不可少的。采样器是从更大人群中提取样本以分析某些特征或行为的工具或个人。这个过程在市场营销、医疗保健和社会科学等各个领域都是至关重要的。任何研究的有效性往往取决于抽样的质量。例如，在市场研究中，一家公司可能希望了解消费者对新产品的偏好。在这里，样本传递者; 采样器发挥了作用。这些人负责选择一个多样化的参与者群体，以准确代表目标市场。如果样本存在偏差或不具代表性，研究结果可能导致错误的商业决策。因此，采样器的角色不仅仅是收集数据，而是确保收集的数据是有效和可靠的。此外，样本传递者; 采样器的概念不仅限于人类参与。在科学研究中，自动化系统可以充当采样器，从各种来源收集数据而无需人工干预。例如，环境研究通常使用传感器来采集空气、水和土壤的样本。这些传感器作为采样器，提供关键数据，研究人员分析这些数据以了解环境变化和影响。准确抽样的重要性不容小觑。在临床试验中，参与者的选择对于确定新药的有效性至关重要。如果样本传递者; 采样器未能包括多样化的参与者，结果可能无法适用于一般人群。这可能导致无效的治疗被批准或安全的治疗被忽视。因此，抽样过程的完整性是研究成功的基础。此外，理解样本传递者; 采样器的动态有助于研究人员设计更好的研究。通过认识到不同类型的抽样方法——随机抽样、分层抽样和簇抽样——研究人员可以选择最适合其具体需求的方法。每种方法都有其优缺点，知道何时使用哪种类型可以显著影响研究的结果。总之，术语样本传递者; 采样器概括了研究方法学的重要方面。无论是在市场营销、医疗保健还是环境研究中，采样器的角色都是不可或缺的。他们确保收集的数据既具有代表性又可靠，最终影响基于这些数据做出的决策。随着我们继续在一个日益依赖数据的世界中航行，理解样本传递者; 采样器的重要性将变得更加关键。研究人员、市场营销人员和政策制定者都必须欣赏抽样的细微差别，以做出明智的决策，从而实现成功的结果。