average by series

简明释义

按系列计损

英英释义

例句

1.When looking at the results, it’s important to average by series rather than just taking a total.

在查看结果时，按系列平均而不仅仅是取总数是很重要的。

2.The finance team decided to average by series to identify trends in quarterly earnings.

财务团队决定按系列平均以识别季度收益中的趋势。

3.To analyze the data effectively, we should average by series for each product line.

为了有效分析数据，我们应该对每个产品线按系列平均。

4.We can average by series to compare the monthly performance across different regions.

我们可以按系列平均以比较不同地区的月度表现。

5.In our sales report, we will average by series to get a clearer picture of performance over time.

在我们的销售报告中，我们将按系列平均以更清晰地了解一段时间内的表现。

作文

In the world of data analysis, understanding various statistical methods is crucial for making informed decisions. One such method is to average by series, which refers to calculating the average of a set of values that are organized in a sequence or series. This technique is particularly useful in fields like finance, research, and even daily life, where trends over time need to be assessed. For instance, when analyzing monthly sales data for a retail store, one can use the average by series method to determine the average sales for each month over a specific period. To illustrate this concept further, let’s consider a simple example. Imagine a small bakery that tracks its sales over six months. In January, the bakery sold 1,000 pastries; in February, 1,200; March saw sales of 1,500; April had 1,600; May sold 2,000; and finally, in June, it reached 2,500 pastries. By applying the average by series method, we can calculate the average monthly sales over these six months. First, we sum up the total sales: 1,000 + 1,200 + 1,500 + 1,600 + 2,000 + 2,500 = 10,800 pastries. Next, we divide this total by the number of months, which is six. Therefore, the average monthly sales would be 10,800 ÷ 6 = 1,800 pastries. This average provides valuable insight into the bakery's performance over time and can help in forecasting future sales. The average by series method is not limited to just sales data; it can also be applied to other areas such as temperature readings, test scores, or any other sequential data. For example, if a student records their test scores over several subjects, calculating the average score using the average by series method can help them understand their overall academic performance. Moreover, understanding trends through averages can aid businesses in making strategic decisions. If the bakery noticed a steady increase in sales each month, they might decide to hire more staff or expand their product line to meet the growing demand. Conversely, if the average sales were declining, it could prompt a reevaluation of their marketing strategies or product offerings. In conclusion, the average by series method is a powerful tool in the realm of statistics. It allows individuals and organizations to synthesize data into meaningful insights, enabling better decision-making. Whether in business, education, or everyday life, knowing how to calculate and interpret averages can lead to improved outcomes and a deeper understanding of trends over time. As we continue to collect and analyze data, mastering techniques like average by series will become increasingly important in navigating the complexities of our world.

在数据分析的世界中，理解各种统计方法对于做出明智的决策至关重要。其中一种方法是按系列平均，它指的是计算一组有序或系列值的平均值。这种技术在金融、研究甚至日常生活等领域尤其有用，因为需要评估随时间变化的趋势。例如，在分析零售店的每月销售数据时，可以使用按系列平均方法来确定特定时期内每个月的平均销售额。为了进一步说明这一概念，让我们考虑一个简单的例子。想象一下一个小面包店，它跟踪六个月的销售情况。在一月份，面包店售出了1000个糕点；在二月份，售出了1200个；三月份销售了1500个；四月份为1600个；五月售出了2000个；最后，在六月份，达到了2500个糕点。通过应用按系列平均方法，我们可以计算出这六个月的平均月销售额。首先，我们将总销售额相加：1000 + 1200 + 1500 + 1600 + 2000 + 2500 = 10800个糕点。接下来，我们将这个总数除以月份的数量，即六。因此，平均月销售额为10800 ÷ 6 = 1800个糕点。这个平均值提供了关于面包店在一段时间内表现的宝贵见解，并可以帮助预测未来的销售情况。按系列平均方法不仅限于销售数据；它还可以应用于其他领域，如温度读数、考试成绩或任何其他顺序数据。例如，如果一名学生记录了多门科目的考试成绩，使用按系列平均方法计算平均分数可以帮助他们了解整体学业表现。此外，通过平均值了解趋势可以帮助企业做出战略决策。如果面包店注意到每个月的销售额稳步增长，他们可能会决定雇佣更多员工或扩展产品线以满足不断增长的需求。相反，如果平均销售额下降，这可能促使他们重新评估市场营销策略或产品供应。总之，按系列平均方法是统计学领域的一种强大工具。它使个人和组织能够将数据综合成有意义的见解，从而实现更好的决策。无论是在商业、教育还是日常生活中，了解如何计算和解释平均值都可以带来改善的结果和对随时间变化趋势的更深入理解。随着我们继续收集和分析数据，掌握像按系列平均这样的技术在应对我们世界的复杂性时将变得越来越重要。