output distribution table

简明释义

产出分配表

英英释义

例句

1.The output distribution table 输出分布表 helps in understanding the variability of the outputs across different trials.

这个output distribution table 输出分布表有助于理解不同试验中输出的变异性。

2.After running the simulations, we generated an output distribution table 输出分布表 to compare the results.

运行模拟后，我们生成了一个output distribution table 输出分布表来比较结果。

3.In the report, the output distribution table 输出分布表 provides a clear overview of the data distribution.

在报告中，output distribution table 输出分布表提供了数据分布的清晰概述。

4.The results of the experiment were summarized in an output distribution table 输出分布表 to visualize the data.

实验结果被总结在一个output distribution table 输出分布表中，以便可视化数据。

5.To analyze the performance of the algorithm, we created an output distribution table 输出分布表 showing the frequency of each outcome.

为了分析算法的性能，我们创建了一个output distribution table 输出分布表，显示每个结果的频率。

作文

In the realm of data analysis and statistics, the concept of an output distribution table is crucial for understanding how different variables interact with each other. An output distribution table is essentially a structured representation of the results obtained from a statistical model or experiment. It provides a clear overview of the frequency or probability of various outcomes, allowing researchers and analysts to make informed decisions based on empirical evidence.To elaborate further, let’s consider a practical example. Imagine a company that wants to analyze the sales performance of its products over the past year. By collecting data on monthly sales figures, the company can create an output distribution table that displays the frequency of sales within specified ranges. For instance, the table might show that 10% of the months had sales between $1,000 and $2,000, while 30% of the months saw sales exceeding $5,000. This information is not only helpful for identifying trends but also for forecasting future sales based on historical data.Moreover, an output distribution table can aid in identifying outliers—data points that deviate significantly from the overall pattern. Outliers can skew results and lead to inaccurate conclusions if not properly addressed. By visualizing these anomalies in a table format, analysts can take appropriate measures, such as conducting further investigation or adjusting their models to account for these unusual occurrences.Another significant aspect of an output distribution table is its role in hypothesis testing. Researchers often formulate hypotheses based on theoretical expectations. By comparing the observed data against what is predicted in the output distribution table, they can determine whether to accept or reject their hypotheses. This process is fundamental in scientific research, where empirical validation is necessary to support or refute claims.Furthermore, the clarity provided by an output distribution table enhances communication among stakeholders. Whether it’s presenting findings to management, discussing results with colleagues, or sharing insights with clients, having a well-organized table can facilitate understanding and foster collaboration. Visual aids like tables make complex data more digestible, ensuring that everyone involved can grasp the key takeaways without getting lost in technical jargon.In conclusion, the output distribution table serves as a vital tool in data analysis, offering insights into sales performance, identifying outliers, supporting hypothesis testing, and improving communication. Its structured format allows for a comprehensive view of data distributions, which is essential for making evidence-based decisions. As businesses and researchers continue to rely on data-driven strategies, mastering the use of an output distribution table will undoubtedly enhance analytical capabilities and lead to more effective outcomes in various fields.

在数据分析和统计学领域，输出分布表的概念对于理解不同变量之间的相互作用至关重要。输出分布表本质上是从统计模型或实验中获得结果的结构化表示。它提供了各种结果的频率或概率的清晰概述，使研究人员和分析师能够根据实证证据做出明智的决策。进一步阐述，让我们考虑一个实际的例子。想象一下，一家公司希望分析其产品在过去一年的销售表现。通过收集每月的销售数据，公司可以创建一个输出分布表，显示在特定范围内的销售频率。例如，表格可能显示10%的月份销售额在$1,000到$2,000之间，而30%的月份销售额超过$5,000。这些信息不仅有助于识别趋势，还可以根据历史数据预测未来的销售。此外，输出分布表有助于识别异常值——那些显著偏离整体模式的数据点。异常值可能会扭曲结果，并导致不准确的结论，如果不加以处理。通过以表格格式可视化这些异常，分析师可以采取适当的措施，例如进行进一步调查或调整模型以考虑这些不寻常的情况。输出分布表的另一个重要方面是在假设检验中的作用。研究人员通常根据理论预期制定假设。通过将观察到的数据与输出分布表中的预测进行比较，他们可以确定是否接受或拒绝他们的假设。这个过程在科学研究中是基本的，因为实证验证是支持或反驳主张所必需的。此外，输出分布表提供的清晰度增强了利益相关者之间的沟通。无论是向管理层呈现发现，与同事讨论结果，还是与客户分享见解，拥有一个组织良好的表格可以促进理解并促进合作。像表格这样的视觉辅助工具使复杂数据更易于消化，确保所有参与者都能掌握关键要点，而不会迷失在技术术语中。总之，输出分布表作为数据分析中的重要工具，提供了对销售表现的洞察，识别异常值，支持假设检验，并改善沟通。其结构化格式允许全面查看数据分布，这对于做出基于证据的决策至关重要。随着企业和研究人员继续依赖数据驱动的战略，掌握使用输出分布表无疑将增强分析能力，并在各个领域带来更有效的成果。