sample analysis

简明释义

取样分析

英英释义

例句

1.The sample analysis revealed high levels of pollutants in the water supply.

这次样本分析显示水源中污染物的含量很高。

2.The laboratory conducted a detailed sample analysis to determine the chemical composition of the soil.

实验室进行了详细的样本分析以确定土壤的化学成分。

3.The sample analysis showed that the product met all safety standards.

这次样本分析表明该产品符合所有安全标准。

4.Our team specializes in sample analysis for food safety testing.

我们的团队专注于食品安全检测的样本分析。

5.Before making any decisions, we need to complete the sample analysis of the market data.

在做出任何决定之前，我们需要完成市场数据的样本分析。

作文

In the field of research and data evaluation, sample analysis plays a crucial role in drawing meaningful conclusions from a limited set of data. The term sample analysis refers to the process of examining a subset of a population to infer characteristics or trends about the whole group. This technique is widely used across various disciplines, including statistics, social sciences, and natural sciences. By analyzing a representative sample, researchers can save time and resources while still obtaining reliable insights.For instance, consider a scenario where a company wants to understand customer satisfaction regarding a new product. Instead of surveying every single customer, which could be impractical and costly, the company can conduct a sample analysis by selecting a smaller, randomized group of customers. This approach allows them to gather feedback efficiently and make informed decisions based on the results.Moreover, sample analysis is essential in scientific research. When conducting experiments, scientists often cannot test every individual in a population due to constraints such as time, budget, or ethical considerations. By selecting a random sample and analyzing it, they can draw conclusions that are likely applicable to the larger population. For example, a medical researcher studying the effects of a new drug might only test it on a few hundred participants rather than thousands, using the results to estimate its efficacy for the general public.The validity of sample analysis hinges on the representativeness of the sample chosen. If the sample is biased or not adequately representative of the population, the conclusions drawn may be misleading. Therefore, researchers must employ rigorous sampling methods to ensure that their samples reflect the diversity and characteristics of the entire population.Furthermore, statistical tools and techniques are often applied during sample analysis to quantify uncertainty and variability in the results. Confidence intervals, hypothesis testing, and regression analysis are some of the methods that help researchers interpret their findings accurately. These statistical approaches provide a framework for understanding how well the sample represents the population and the reliability of the conclusions drawn.In conclusion, sample analysis is a fundamental aspect of research that allows for efficient data collection and interpretation. By examining a smaller subset of a population, researchers can gain valuable insights without the need for exhaustive data gathering. However, the success of sample analysis relies heavily on the careful selection of samples and the application of appropriate statistical methods. Understanding and mastering the concept of sample analysis is essential for anyone involved in research, as it lays the foundation for making informed decisions based on empirical evidence.

在研究和数据评估领域，样本分析 在从有限的数据集中得出有意义的结论中发挥着至关重要的作用。术语 样本分析 指的是检查一个总体的子集以推断整个组的特征或趋势的过程。这种技术广泛应用于统计学、社会科学和自然科学等各个学科。通过分析一个具有代表性的样本，研究人员可以节省时间和资源，同时仍然获得可靠的见解。例如，考虑一个场景，一个公司想要了解客户对新产品的满意度。与其调查每一位客户，这可能是不切实际且成本高昂的，公司可以通过选择一个较小的随机客户群体进行 样本分析。这种方法使他们能够高效地收集反馈，并根据结果做出明智的决策。此外，样本分析 在科学研究中也是必不可少的。当进行实验时，科学家通常无法测试总体中的每一个个体，因为受到时间、预算或伦理考虑等限制。通过选择一个随机样本并进行分析，他们可以得出可能适用于更大人群的结论。例如，一位医学研究人员在研究新药的效果时，可能只对几百名参与者进行测试，而不是数千名，从而利用结果来估计其对公众的有效性。样本分析 的有效性取决于所选择样本的代表性。如果样本存在偏差或未能充分代表总体，则得出的结论可能会误导。因此，研究人员必须采用严格的抽样方法，以确保他们的样本反映整个总体的多样性和特征。此外，在 样本分析 过程中，通常会应用统计工具和技术来量化结果中的不确定性和变异性。置信区间、假设检验和回归分析是一些帮助研究人员准确解释其发现的方法。这些统计方法为理解样本如何代表总体以及得出结论的可靠性提供了框架。总之，样本分析 是研究的一个基本方面，它允许高效的数据收集和解释。通过检查总体的较小子集，研究人员可以获得有价值的见解，而无需进行详尽的数据收集。然而，样本分析 的成功在很大程度上依赖于样本的仔细选择和适当的统计方法的应用。理解和掌握 样本分析 的概念对于任何参与研究的人来说都是至关重要的，因为它为基于实证证据做出明智决策奠定了基础。