statistical accuracy

简明释义

统计精确度，统计准确性

英英释义

例句

1.Using advanced algorithms can enhance the statistical accuracy of predictive models.

使用先进算法可以提高预测模型的统计准确性。

2.To improve statistical accuracy, we need to increase our sample size significantly.

为了提高统计准确性，我们需要显著增加样本量。

3.In clinical trials, maintaining statistical accuracy is crucial for determining the effectiveness of a new drug.

在临床试验中，保持统计准确性对确定新药的有效性至关重要。

4.The research team emphasized the importance of statistical accuracy in their findings to ensure credibility.

研究团队强调了他们的发现中统计准确性的重要性，以确保可信度。

5.The statistical accuracy of the survey results was questioned after discovering sampling errors.

在发现抽样错误后，调查结果的统计准确性受到质疑。

作文

In today's data-driven world, the concept of statistical accuracy is more important than ever. It refers to the degree to which a statistical measure represents the true value of the parameter being estimated. Achieving high statistical accuracy is crucial in various fields, including medicine, economics, and social sciences, where decisions based on data can have significant implications for individuals and society as a whole.For instance, in medical research, clinical trials rely heavily on statistical accuracy to determine the effectiveness of new treatments. If the data collected during these trials is not statistically accurate, it could lead to the approval of a drug that is ineffective or even harmful to patients. Researchers must ensure that their sample sizes are adequate and that they employ appropriate statistical methods to achieve reliable results. This is particularly important when dealing with life-threatening conditions, where the stakes are incredibly high.Similarly, in the field of economics, policymakers depend on statistical accuracy to make informed decisions about fiscal policies, taxation, and public spending. Economic indicators such as GDP growth rates, unemployment figures, and inflation rates must be calculated with precision. If the data is flawed, it could result in misguided policies that might worsen economic conditions rather than improve them. For example, if unemployment statistics are inaccurately reported, it may lead to inadequate job creation initiatives that fail to address the real needs of the workforce.Moreover, in social sciences, researchers often conduct surveys to gather data on public opinion or behavioral trends. The statistical accuracy of these surveys is essential for understanding societal issues and making evidence-based recommendations. A survey with a small or biased sample may produce misleading conclusions, which can affect public perception and policy development. For example, if a survey inaccurately reflects the views of a population, it could lead to policies that do not align with the actual needs or desires of the community.To enhance statistical accuracy, researchers and analysts must adhere to rigorous methodologies. This includes proper sampling techniques, data collection methods, and statistical analysis. Additionally, transparency in reporting results and acknowledging limitations is critical. By doing so, they can provide a clearer picture of the findings and their implications.In conclusion, statistical accuracy plays a vital role in various domains, influencing decisions that affect lives and communities. As we continue to rely on data for decision-making, it is imperative that we prioritize accuracy in our statistical endeavors. Only through careful consideration and adherence to best practices can we ensure that the data we use truly reflects reality, leading to better outcomes in health, economics, and society at large.

在当今数据驱动的世界中，统计准确性的概念比以往任何时候都更为重要。它指的是统计度量在多大程度上代表被估计参数的真实值。实现高水平的统计准确性在医学、经济学和社会科学等各个领域都是至关重要的，因为基于数据做出的决策可能对个人和整个社会产生重大影响。例如，在医学研究中，临床试验在很大程度上依赖于统计准确性来确定新治疗方法的有效性。如果在这些试验中收集的数据不具备统计准确性，可能会导致批准一种无效甚至有害患者的药物。研究人员必须确保他们的样本量足够，并采用适当的统计方法以获得可靠的结果。这在处理危及生命的疾病时尤为重要，因为风险极高。同样，在经济学领域，政策制定者依赖于统计准确性来就财政政策、税收和公共支出做出明智的决定。诸如GDP增长率、失业人数和通货膨胀率等经济指标必须精确计算。如果数据存在缺陷，可能会导致误导性的政策，从而使经济状况恶化而不是改善。例如，如果失业统计数据被不准确地报告，可能会导致不充分的就业创造举措，无法满足劳动力的真实需求。此外，在社会科学中，研究人员经常进行调查以收集公众意见或行为趋势的数据。这些调查的统计准确性对于理解社会问题和提出基于证据的建议至关重要。一个样本小或有偏见的调查可能会产生误导性的结论，这可能会影响公众认知和政策发展。例如，如果一项调查不准确地反映了人们的观点，可能会导致与社区实际需求或愿望不符的政策。为了提高统计准确性，研究人员和分析师必须遵循严格的方法论。这包括适当的抽样技术、数据收集方法和统计分析。此外，结果报告的透明度和承认局限性也至关重要。通过这样做，他们可以提供更清晰的发现和其含义。总之，统计准确性在各个领域发挥着重要作用，影响着影响生活和社区的决策。随着我们继续依赖数据进行决策，优先考虑统计工作的准确性是至关重要的。只有通过仔细考虑和遵循最佳实践，我们才能确保所使用的数据真正反映现实，从而在健康、经济和社会等方面带来更好的结果。