average by series

简明释义

按系列计算海损

英英释义

例句

1.When calculating performance metrics, it’s helpful to average by series 按系列求平均 to get a clearer picture.

在计算绩效指标时，<平均按系列>可以帮助我们更清晰地了解情况。

2.The report suggests that we should average by series 按系列求平均 to identify trends over time.

报告建议我们应该<平均按系列>来识别时间趋势。

3.The software allows users to average by series 按系列求平均 for better visualization of the results.

该软件允许用户<平均按系列>以更好地可视化结果。

4.For this analysis, we will average by series 按系列求平均 the sales data from the last five years.

对于这项分析，我们将<平均按系列>过去五年的销售数据。

5.To analyze the data effectively, we need to average by series 按系列求平均 for each quarter.

为了有效分析数据，我们需要<平均按系列>每个季度的结果。

作文

In the field of statistics, understanding how to analyze data is crucial for drawing meaningful conclusions. One important concept in this realm is the idea of calculating an average. The average can be determined in various ways, depending on the nature of the data being analyzed. A particular method that stands out is the approach known as average by series. This technique involves calculating the average of a set of values that are organized in a sequential manner, allowing for a clearer understanding of trends and patterns over time.To illustrate this concept, let’s consider a scenario where a student tracks their weekly study hours over the course of a semester. Suppose the student records the following hours: Week 1 - 10 hours, Week 2 - 12 hours, Week 3 - 8 hours, Week 4 - 15 hours, and Week 5 - 20 hours. To find the overall average study hours per week, the student would sum these values and then divide by the number of weeks. However, if the student were to apply the average by series method, they would analyze the data in segments, perhaps looking at averages for the first two weeks, the next two weeks, and then the final week separately.This segmented approach allows the student to see not just the overall average but also how their study habits have changed over time. For instance, they might discover that they studied significantly more in the latter part of the semester, indicating improved time management or increased motivation. By using average by series, they gain insights into their performance trends rather than just a single numerical value.Moreover, the average by series method is particularly useful in fields such as finance, where investors track stock prices over time. By calculating the average price of a stock in different time frames—such as weekly, monthly, or quarterly—investors can make informed decisions based on the trends observed. This approach minimizes the impact of short-term volatility and highlights longer-term performance, which is critical for strategic planning.In addition to its applications in education and finance, the average by series technique is also valuable in scientific research. Researchers often collect data points over time, such as temperature readings or population growth rates. By applying this averaging method, they can identify significant changes and correlations in their data, leading to more robust conclusions.In conclusion, the concept of average by series serves as a powerful tool in data analysis across various domains. It provides a deeper insight into trends and variations within a dataset, enabling individuals and organizations to make better-informed decisions. By moving beyond a simple average and embracing the complexities of data series, we can enhance our understanding of patterns and improve our predictive capabilities. Whether in academia, finance, or research, mastering the use of average by series can lead to more effective outcomes and a greater grasp of the underlying dynamics at play in any given situation.

在统计学领域，理解如何分析数据对于得出有意义的结论至关重要。一个重要的概念是计算平均数。根据被分析数据的性质，平均数可以通过多种方式来确定。其中一种突出的方式是被称为按系列求平均的方法。这种技术涉及计算一组以顺序方式组织的值的平均值，从而使我们更清晰地理解随时间变化的趋势和模式。为了说明这个概念，让我们考虑一个场景：一名学生在一个学期内跟踪他们每周的学习时间。假设学生记录了以下小时数：第1周 - 10小时，第2周 - 12小时，第3周 - 8小时，第4周 - 15小时，第5周 - 20小时。为了找出每周的平均学习时间，学生将这些值相加，然后除以周数。然而，如果学生采用按系列求平均的方法，他们将分段分析数据，可能分别查看前两周、接下来的两周以及最后一周的平均值。这种分段方法使学生不仅可以看到总体平均值，还能了解他们的学习习惯随时间的变化。例如，他们可能会发现自己在学期后期学习的时间明显增加，这表明时间管理能力或动力有所提升。通过使用按系列求平均，他们获得了对自己表现趋势的洞察，而不仅仅是一个单一的数值。此外，按系列求平均方法在金融领域特别有用，投资者跟踪股票价格随时间的变化。通过计算不同时间框架（例如每周、每月或每季度）的股票平均价格，投资者可以基于观察到的趋势做出明智的决策。这种方法最小化了短期波动的影响，并突出了长期表现，这对于战略规划至关重要。除了在教育和金融领域的应用外，按系列求平均技术在科学研究中也很有价值。研究人员通常会随时间收集数据点，例如温度读数或人口增长率。通过应用这种平均方法，他们可以识别数据中的显著变化和相关性，从而得出更可靠的结论。总之，按系列求平均的概念作为数据分析中的一个强大工具，在各个领域都发挥着作用。它提供了对数据集内趋势和变异的深入洞察，使个人和组织能够做出更明智的决策。通过超越简单的平均值，接受数据系列的复杂性，我们可以增强对模式的理解，提高我们的预测能力。无论是在学术界、金融界还是研究领域，掌握按系列求平均的使用都可以带来更有效的结果，并更好地把握任何给定情境中潜在的动态。