precision of sample results

简明释义

样本结果的精确度

英英释义

例句

1.The researchers emphasized the importance of the precision of sample results in their study to ensure reliable conclusions.

研究人员强调了他们研究中样本结果的精确度的重要性，以确保结论的可靠性。

2.Statistical analysis can help assess the precision of sample results and guide future research.

统计分析可以帮助评估样本结果的精确度并指导未来的研究。

3.When conducting surveys, it is crucial to maintain the precision of sample results to reflect the population accurately.

在进行调查时，保持样本结果的精确度以准确反映人群是至关重要的。

4.To improve the precision of sample results, they increased the sample size significantly.

为了提高样本结果的精确度，他们大幅增加了样本量。

5.The precision of sample results directly impacts the validity of the experiments conducted.

样本结果的精确度直接影响所进行实验的有效性。

作文

In the field of statistics and research, the term precision of sample results refers to the degree to which repeated measurements or observations yield consistent results. This concept is crucial for researchers who aim to draw valid conclusions from their data. When we talk about the precision of sample results, we are essentially discussing how reliable and accurate our findings are when based on a subset of a larger population.To understand the significance of precision of sample results, consider a scenario where a researcher is conducting a survey to gauge public opinion on a new policy. If the researcher collects responses from a small group of individuals, the results may vary significantly if the survey is repeated with different groups. High precision means that if the same survey were conducted multiple times, the results would not differ much from one another, indicating that the sample accurately reflects the opinions of the entire population.Precision is often measured using statistical tools such as confidence intervals and standard deviations. A narrow confidence interval suggests high precision, meaning that we can be more confident that our sample results closely represent the true population parameters. Conversely, a wide confidence interval indicates low precision, suggesting that there is considerable uncertainty regarding the sample results.The precision of sample results is influenced by several factors, including sample size, variability within the population, and the method of data collection. Larger sample sizes generally lead to higher precision because they reduce the impact of outliers and anomalies. In contrast, a small sample size may lead to skewed results that do not accurately reflect the population's characteristics.Moreover, the variability within the population plays a significant role in determining the precision of sample results. If the population is highly diverse, it may require a larger sample size to achieve high precision. On the other hand, a more homogenous population may allow for smaller samples while still maintaining high precision in the results.Data collection methods also influence the precision of sample results. For instance, surveys conducted through random sampling techniques typically yield more precise results than those conducted through convenience sampling, where participants are selected based on availability rather than random selection. This is because random sampling minimizes bias and ensures that every individual has an equal chance of being included in the sample.In conclusion, understanding the precision of sample results is essential for researchers and statisticians alike. It helps ensure that the conclusions drawn from a study are valid and applicable to the broader population. By focusing on achieving high precision through appropriate sample sizes, careful consideration of population variability, and robust data collection methods, researchers can enhance the reliability of their findings and contribute valuable insights to their fields. Ultimately, the precision of sample results serves as a cornerstone of effective research, guiding decision-making and policy formulation based on sound evidence.

在统计学和研究领域，短语样本结果的精确性指的是重复测量或观察的一致性程度。这个概念对于那些希望从数据中得出有效结论的研究人员至关重要。当我们谈论样本结果的精确性时，我们实际上是在讨论基于较大人群子集的发现有多么可靠和准确。为了理解样本结果的精确性的重要性，考虑一个场景：研究人员正在进行一项调查，以评估公众对新政策的看法。如果研究人员从一小组个体收集反馈，那么如果用不同的小组重复调查，结果可能会有显著差异。高精确度意味着如果相同的调查多次进行，结果不会有太大差异，这表明样本准确反映了整个群体的意见。精确度通常通过信心区间和标准差等统计工具来衡量。狭窄的置信区间表明高精确度，这意味着我们可以更有信心地认为我们的样本结果与真实的人口参数密切相关。相反，宽广的置信区间则表明低精确度，暗示对样本结果存在相当大的不确定性。样本结果的精确性受到多个因素的影响，包括样本大小、人口的变异性以及数据收集方法。较大的样本大小通常会导致更高的精确度，因为它们减少了异常值和离群值的影响。相比之下，小样本大小可能会导致偏斜的结果，这些结果并不能准确反映人口的特征。此外，人口的变异性在决定样本结果的精确性方面也起着重要作用。如果人群高度多样化，可能需要更大的样本大小以实现高精确度。另一方面，更同质化的人群可能允许使用较小的样本，同时仍然保持结果的高精确度。数据收集方法也会影响样本结果的精确性。例如，通过随机抽样技术进行的调查通常会产生比便利抽样（即根据可用性而不是随机选择参与者）更精确的结果。这是因为随机抽样最小化了偏差，并确保每个人都有相等的机会被纳入样本。总之，理解样本结果的精确性对于研究人员和统计学家而言至关重要。它有助于确保研究得出的结论是有效的，并适用于更广泛的人群。通过关注适当的样本大小、仔细考虑人口变异性以及健全的数据收集方法来实现高精确度，研究人员可以增强其发现的可靠性，并为其领域贡献有价值的见解。最终，样本结果的精确性作为有效研究的基石，引导基于可靠证据的决策制定和政策制定。