absolute accuracy at 95%95%

简明释义

的绝对精度

英英释义

例句

1.Our quality control process guarantees absolute accuracy at 95% in product measurements.

我们的质量控制流程保证产品测量的95%的绝对准确性。

2.The AI algorithm was tested and proved to have absolute accuracy at 95% in image recognition tasks.

该人工智能算法经过测试，证明在图像识别任务中具有95%的绝对准确性。

3.The new diagnostic tool provides absolute accuracy at 95%, ensuring reliable results for patients.

这款新诊断工具提供95%的绝对准确性，确保患者得到可靠的结果。

4.The weather forecasting model claims to deliver absolute accuracy at 95% for short-term predictions.

该天气预报模型声称能在短期预测中提供95%的绝对准确性。

5.In our recent study, we achieved absolute accuracy at 95% in predicting customer behavior.

在我们最近的研究中，我们在预测客户行为方面达到了95%的绝对准确性。

作文

In the realm of statistics and data analysis, achieving absolute accuracy at 95% is often regarded as a benchmark for reliability. This phrase refers to the degree of correctness and precision in the results obtained from a study or experiment, indicating that the findings are expected to be accurate 95% of the time. The importance of this level of accuracy cannot be overstated, especially in fields such as medicine, engineering, and social sciences, where decisions based on data can have significant consequences.To understand the concept better, let's consider an example from medical research. When developing a new drug, researchers conduct clinical trials to determine its efficacy and safety. If the trials show that the drug has an absolute accuracy at 95%, it means that if the same study were to be repeated multiple times, 95 out of 100 trials would yield results consistent with the original findings. This high level of accuracy helps in building trust among healthcare professionals and patients alike, as it suggests that the drug is both effective and safe for use.Moreover, achieving absolute accuracy at 95% involves rigorous methodologies, including proper sampling techniques, control groups, and statistical analyses. For instance, a survey aimed at understanding public opinion on a new policy must ensure that its sample accurately represents the population. If a survey claims to have an absolute accuracy at 95%, it implies that the margin of error is minimal, thus enhancing the credibility of the results.However, it is crucial to note that while aiming for absolute accuracy at 95% is desirable, it is not always attainable. Various factors can introduce biases or errors, such as sample size, data collection methods, and external influences. Therefore, researchers must constantly strive to minimize these factors to achieve the highest possible accuracy.In addition to its significance in research, absolute accuracy at 95% also plays a vital role in decision-making processes across various industries. Businesses rely on accurate data to make informed decisions regarding marketing strategies, product launches, and financial investments. For example, a company analyzing consumer behavior may find that their data predicts a 95% accuracy rate in sales forecasting. This information allows them to allocate resources efficiently and strategize effectively.In conclusion, the phrase absolute accuracy at 95% encapsulates the essence of reliability in data analysis. It signifies the confidence that can be placed in research findings and the implications these findings have on real-world applications. Whether in healthcare, business, or social research, striving for this level of accuracy is essential for making informed decisions and advancing knowledge. As we continue to navigate an increasingly data-driven world, understanding and achieving absolute accuracy at 95% will remain a critical goal for researchers and professionals alike.

在统计学和数据分析领域，达到绝对准确率为95%通常被视为可靠性的基准。这个短语指的是从研究或实验中获得的结果的正确性和精确度，表明这些发现预计有95%的时间是准确的。这种准确度的重要性不容小觑，尤其是在医学、工程和社会科学等领域，因为基于数据的决定可能会产生重大后果。为了更好地理解这个概念，我们来考虑一个医学研究的例子。在开发新药时，研究人员进行临床试验以确定其有效性和安全性。如果试验显示该药物具有绝对准确率为95%，这意味着如果同一研究重复多次，100次试验中有95次将得出与原始结果一致的结果。这种高水平的准确性有助于在医疗专业人员和患者之间建立信任，因为它表明该药物既有效又安全。此外，达到绝对准确率为95%需要严格的方法论，包括适当的抽样技术、对照组和统计分析。例如，旨在了解公众对新政策态度的调查必须确保其样本准确代表总体。如果一项调查声称具有绝对准确率为95%，这意味着误差范围很小，从而增强了结果的可信度。然而，值得注意的是，虽然追求绝对准确率为95%是理想的，但并非总是可实现的。各种因素可能引入偏差或错误，例如样本大小、数据收集方法和外部影响。因此，研究人员必须不断努力最小化这些因素，以达到尽可能高的准确性。除了在研究中的重要性，绝对准确率为95%在各行业的决策过程中也发挥着至关重要的作用。企业依赖准确的数据来做出关于营销策略、产品发布和财务投资的明智决策。例如，一家公司分析消费者行为时可能发现他们的数据在销售预测中预测了95%的准确率。这些信息使他们能够有效分配资源并制定有效策略。总之，短语绝对准确率为95%概括了数据分析中可靠性的本质。它标志着可以对研究结果寄予的信心，以及这些结果对现实世界应用的影响。无论是在医疗、商业还是社会研究中，追求这一准确度水平对于做出明智的决策和推动知识进步至关重要。随着我们继续在一个日益数据驱动的世界中航行，理解和实现绝对准确率为95%将仍然是研究人员和专业人士的关键目标。