sizable sample

简明释义

相当大的样本

英英释义

例句

1.The researchers collected a sizable sample of participants to ensure the results were statistically significant.

研究人员收集了一个可观的样本以确保结果具有统计学意义。

2.We analyzed a sizable sample of data to identify trends in consumer behavior.

我们分析了一个可观的样本数据以识别消费者行为的趋势。

3.The survey was sent to a sizable sample of our customer base to gather feedback on the new product.

调查被发送给我们客户群中的一个可观的样本以收集对新产品的反馈。

4.In order to draw accurate conclusions, we need a sizable sample from different demographics.

为了得出准确的结论，我们需要来自不同人群的可观的样本。

5.A sizable sample size is essential for any market research study.

对于任何市场研究，可观的样本大小是必不可少的。

作文

In the realm of research and data analysis, the importance of collecting a sizable sample cannot be overstated. A sizable sample refers to a quantity of data or participants that is large enough to provide reliable insights and conclusions. This concept is fundamental in various fields such as psychology, sociology, market research, and health studies. When researchers gather a sizable sample, they increase the validity and reliability of their findings, which is crucial for making informed decisions based on the data collected.For instance, consider a study aiming to understand consumer behavior regarding a new product launch. If the researchers only survey a handful of individuals, their findings may not accurately reflect the opinions and preferences of the broader population. However, by ensuring they have a sizable sample, the researchers can capture a diverse range of perspectives and experiences, leading to more comprehensive and actionable insights.Moreover, a sizable sample helps to reduce the margin of error in statistical analyses. When dealing with smaller samples, the results can be skewed by outliers or anomalies, potentially leading to incorrect conclusions. In contrast, a larger sample size tends to balance out these irregularities, providing a clearer picture of the trends and patterns within the data. This is particularly important in fields like medicine, where treatment efficacy must be established through rigorous testing on a sizable sample of patients to ensure safety and effectiveness.In addition to enhancing the accuracy of results, a sizable sample also allows researchers to segment their data more effectively. For example, if a study examines the effects of a new educational program on students, having a sizable sample enables the researchers to analyze outcomes based on different demographics such as age, gender, and socioeconomic status. This segmentation can reveal important insights that would be lost in a smaller sample, ultimately contributing to more tailored and effective interventions.However, it is essential to note that simply having a sizable sample does not guarantee quality results. Researchers must also ensure that their sampling methods are appropriate and representative of the population they are studying. Random sampling techniques, stratified sampling, and other methodologies are often employed to achieve this goal. Without proper sampling techniques, even a sizable sample could lead to biased results and misinterpretations.In conclusion, the significance of a sizable sample in research is multifaceted. It enhances the reliability of findings, reduces the margin of error, facilitates data segmentation, and ultimately leads to more robust conclusions. As researchers continue to navigate the complexities of data collection and analysis, the emphasis on obtaining a sizable sample will remain a cornerstone of sound scientific practice. Therefore, whether in academic research or practical applications, understanding the value of a sizable sample is crucial for anyone involved in the field of research and data analysis.

在研究和数据分析领域，收集一个sizable sample的重要性不容小觑。sizable sample指的是足够大的数据或参与者数量，可以提供可靠的见解和结论。这个概念在心理学、社会学、市场研究和健康研究等多个领域都是基础。当研究人员收集一个sizable sample时，他们提高了研究结果的有效性和可靠性，这对于基于所收集的数据做出明智决策至关重要。例如，考虑一项旨在了解消费者对新产品发布行为的研究。如果研究人员只调查少数几个个体，他们的发现可能无法准确反映更广泛人群的意见和偏好。然而，通过确保他们拥有一个sizable sample，研究人员可以捕捉到多样化的观点和经验，从而得出更全面和可行的见解。此外，一个sizable sample有助于减少统计分析中的误差范围。在处理较小样本时，结果可能会受到异常值或离群点的影响，可能导致错误的结论。相比之下，较大的样本量往往能够平衡这些不规则现象，提供数据中趋势和模式的更清晰图景。这在医学等领域尤为重要，因为治疗效果必须通过在一个sizable sample患者身上进行严格测试来确认安全性和有效性。除了提高结果的准确性外，一个sizable sample还使研究人员能够更有效地细分数据。例如，如果一项研究考察一种新的教育项目对学生的影响，拥有一个sizable sample使研究人员能够根据不同的人口统计特征（如年龄、性别和社会经济状态）分析结果。这种细分可以揭示重要的见解，而在较小样本中可能会丢失，最终有助于更具针对性和有效的干预措施。然而，值得注意的是，仅仅拥有一个sizable sample并不保证结果的质量。研究人员还必须确保他们的抽样方法适当并具有代表性。随机抽样技术、分层抽样和其他方法通常被用来实现这一目标。如果没有适当的抽样技术，即使是一个sizable sample也可能导致偏见的结果和误解。总之，sizable sample在研究中的重要性是多方面的。它增强了发现的可靠性，减少了误差范围，促进了数据细分，最终导致更稳健的结论。随着研究人员继续应对数据收集和分析的复杂性，获取一个sizable sample的强调将始终是健全科学实践的基石。因此，无论是在学术研究还是实际应用中，理解sizable sample的价值对于任何参与研究和数据分析领域的人来说都是至关重要的。