primary statistics

简明释义

原始统计

英英释义

例句

1.Before making decisions, the company reviewed the primary statistics 主要统计数据 from the last quarter.

在做出决策之前，公司审查了上个季度的 主要统计数据 primary statistics。

2.The report highlighted the primary statistics 主要统计数据 that indicated a significant increase in sales.

报告强调了 主要统计数据 primary statistics，显示销售额显著增长。

3.The researcher focused on the primary statistics 主要统计数据 to analyze the trends in consumer behavior.

研究人员专注于 主要统计数据 primary statistics 来分析消费者行为的趋势。

4.In order to improve their services, they conducted a survey and analyzed the primary statistics 主要统计数据 collected from users.

为了改善服务，他们进行了调查并分析了从用户收集的 主要统计数据 primary statistics。

5.Government agencies often rely on primary statistics 主要统计数据 to formulate public policies.

政府机构通常依赖 主要统计数据 primary statistics 来制定公共政策。

作文

In the realm of data analysis and research, understanding the concept of primary statistics is crucial for drawing accurate conclusions. Primary statistics refers to the original data collected directly from sources, which has not been altered or processed in any way. This type of data serves as the foundational building block for further analysis and interpretation. For instance, when researchers conduct surveys or experiments, the raw numbers they gather represent primary statistics. These statistics are essential because they provide the most reliable evidence for making informed decisions and understanding trends within a specific field.The significance of primary statistics can be illustrated through various examples. In public health, for example, data collected from initial patient surveys about symptoms, demographics, and medical history forms primary statistics. These statistics enable health professionals to identify patterns of disease spread, assess the effectiveness of treatments, and allocate resources efficiently. Without primary statistics, health authorities would struggle to make evidence-based decisions that could save lives.Moreover, in the field of economics, primary statistics play a vital role in shaping policies. Economic indicators such as employment rates, inflation rates, and consumer spending are derived from primary statistics gathered through censuses and surveys. Policymakers rely on this data to craft strategies aimed at stimulating growth, controlling inflation, or addressing unemployment. The accuracy of economic forecasts hinges on the integrity of primary statistics, underscoring their importance in both national and global economies.However, it is important to recognize that while primary statistics are invaluable, they must be collected and analyzed carefully. The methodology used in gathering primary statistics can significantly impact the quality of the data. For example, if a survey is poorly designed or if the sample size is too small, the resulting primary statistics may not accurately reflect the larger population. Therefore, researchers must employ rigorous standards and techniques to ensure that their primary statistics are valid and reliable.In conclusion, primary statistics form the cornerstone of data analysis across various fields. They provide the raw information necessary for making informed decisions and understanding complex phenomena. Whether in public health, economics, or social sciences, the reliance on primary statistics cannot be overstated. As we continue to navigate an increasingly data-driven world, the ability to collect, analyze, and interpret primary statistics will remain a critical skill for researchers, policymakers, and professionals alike. By valuing and understanding the significance of primary statistics, we can better harness the power of data to improve our society and address pressing challenges.

在数据分析和研究领域，理解初级统计数据的概念对于得出准确的结论至关重要。初级统计数据指的是直接从来源收集的原始数据，这些数据没有经过任何修改或处理。这种类型的数据作为进一步分析和解释的基础构建块。例如，当研究人员进行调查或实验时，他们收集的原始数字代表了初级统计数据。这些统计数据是必不可少的，因为它们提供了做出明智决策和理解特定领域内趋势的最可靠证据。初级统计数据的重要性可以通过各种例子来说明。在公共卫生领域，例如，关于症状、人口统计学和病史的初步患者调查中收集的数据构成了初级统计数据。这些统计数据使卫生专业人员能够识别疾病传播模式，评估治疗效果，并有效分配资源。如果没有初级统计数据，卫生当局将难以做出基于证据的决策，从而拯救生命。此外，在经济学领域，初级统计数据在政策制定中发挥着至关重要的作用。就业率、通货膨胀率和消费者支出等经济指标是通过人口普查和调查收集的初级统计数据得出的。政策制定者依赖这些数据来制定旨在刺激增长、控制通货膨胀或解决失业问题的策略。经济预测的准确性取决于初级统计数据的完整性，这突显了它们在国家和全球经济中的重要性。然而，重要的是要认识到，尽管初级统计数据是无价的，但它们必须被小心地收集和分析。收集初级统计数据所使用的方法可能会显著影响数据的质量。例如，如果调查设计不佳或样本量太小，最终得到的初级统计数据可能无法准确反映更大的人群。因此，研究人员必须采用严格的标准和技术，以确保他们的初级统计数据是有效和可靠的。总之，初级统计数据构成了各个领域数据分析的基石。它们提供了做出明智决策和理解复杂现象所需的原始信息。无论是在公共卫生、经济学还是社会科学中，对初级统计数据的依赖都不容小觑。随着我们继续在一个日益数据驱动的世界中航行，收集、分析和解释初级统计数据的能力将仍然是研究人员、政策制定者和专业人士的关键技能。通过重视和理解初级统计数据的重要性，我们可以更好地利用数据的力量来改善我们的社会并应对紧迫的挑战。