base period; basic period; origin period

简明释义

基期

英英释义

例句

1.In statistical analysis, the basic period 基本时期 helps in comparing data over time.

在统计分析中，基本时期 basic period有助于比较不同时间的数据。

2.The economic growth rate is often calculated using the base period 基期 as a reference point.

经济增长率通常使用基期 base period作为参考点。

3.When calculating inflation rates, the base period 基期 is crucial for accurate results.

在计算通货膨胀率时，基期 base period对于准确结果至关重要。

4.Analysts often choose a basic period 基本时期 that reflects normal economic conditions.

分析师通常选择一个反映正常经济状况的基本时期 basic period。

5.The sales figures from the origin period 起始期 serve as a benchmark for future projections.

来自起始期 origin period的销售数据作为未来预测的基准。

作文

In the realm of economics and statistics, understanding the terms base period (基期), basic period (基本时期), and origin period (起始时期) is crucial for analyzing data trends and making informed decisions. These terms refer to specific time frames used as references for comparison in various analyses. The base period is a designated timeframe against which other periods are compared. For instance, when assessing economic growth, economists often use a base period to measure changes in GDP or inflation rates. By establishing a base period, analysts can determine whether an economy is expanding or contracting over time.Similarly, the term basic period is often synonymous with base period, though it may imply a more foundational timeframe that serves as a benchmark for specific calculations. In many statistical analyses, the basic period provides a clearer context for understanding fluctuations in data. For example, if a company wants to evaluate its sales performance, it might choose a basic period of the previous year to compare against the current year’s sales figures. This comparison allows businesses to gauge their growth trajectory and make necessary adjustments to their strategies.On the other hand, the origin period typically refers to the initial timeframe from which data is collected or analyzed. It is often the starting point for longitudinal studies that track changes over time. The origin period helps researchers understand the baseline conditions before any interventions or changes occur. For instance, in a public health study examining the impact of a new vaccination program, the origin period would be the time before the program was implemented, providing a reference point for measuring its effectiveness.The interplay between the base period, basic period, and origin period is essential for accurate data interpretation. Without clearly defined periods, analyses can lead to misleading conclusions. For example, if a researcher fails to establish a proper base period, they might overlook significant trends that could inform policy decisions. Similarly, using an inappropriate origin period could skew results, making it difficult to assess the true impact of changes over time.In conclusion, the concepts of base period, basic period, and origin period are foundational in the fields of economics and statistics. They provide essential frameworks for comparison and analysis, enabling researchers and policymakers to make sound decisions based on historical data. By understanding these terms and their implications, individuals can better navigate the complexities of data-driven decision-making processes, ultimately leading to more effective strategies and outcomes in various domains.

在经济学和统计学领域，理解术语基期、基本时期和起始时期对于分析数据趋势和做出明智决策至关重要。这些术语指的是用作比较的特定时间框架。基期是一个指定的时间段，用于与其他时期进行比较。例如，在评估经济增长时，经济学家通常使用基期来衡量GDP或通货膨胀率的变化。通过建立基期，分析师可以确定经济是否在扩张或收缩。同样，术语基本时期通常与基期同义，尽管它可能暗示一个更基础的时间段，作为特定计算的基准。在许多统计分析中，基本时期提供了更清晰的背景，以理解数据的波动。例如，如果一家公司想要评估其销售表现，它可能会选择去年的基本时期来与当前年的销售数字进行比较。这种比较使企业能够评估其增长轨迹，并根据需要调整其策略。另一方面，起始时期通常指的是收集或分析数据的初始时间段。它通常是纵向研究的起点，这些研究跟踪随时间变化的情况。起始时期帮助研究人员理解在任何干预或变化发生之前的基线条件。例如，在一项公共卫生研究中，考察新疫苗接种计划的影响，起始时期将是实施该计划之前的时间，为衡量其有效性提供参考点。基期、基本时期和起始时期之间的相互作用对于准确的数据解释至关重要。如果没有明确的时间段，分析可能导致误导性的结论。例如，如果研究人员未能建立适当的基期，他们可能会忽视重要的趋势，这些趋势可能会为政策决策提供信息。同样，使用不适当的起始时期可能会扭曲结果，使得评估随时间变化的真实影响变得困难。总之，基期、基本时期和起始时期的概念在经济学和统计学领域中是基础性的。它们提供了比较和分析的基本框架，使研究人员和政策制定者能够根据历史数据做出合理的决策。通过理解这些术语及其含义，个人可以更好地驾驭数据驱动决策过程的复杂性，最终在各个领域实现更有效的策略和结果。