basic deviation

简明释义

基本偏差;

英英释义

例句

1.In statistical analysis, the basic deviation 基本偏差 helps to understand the variability of data.

在统计分析中，基本偏差 basic deviation 有助于理解数据的变异性。

2.In quality control, the basic deviation 基本偏差 can signal potential issues in the manufacturing process.

在质量控制中，基本偏差 basic deviation 可以提示制造过程中可能存在的问题。

3.The basic deviation 基本偏差 is crucial for assessing the reliability of a dataset.

对评估数据集的可靠性来说，基本偏差 basic deviation 是至关重要的。

4.To calculate the basic deviation 基本偏差, you subtract the mean from each data point.

要计算基本偏差 basic deviation，需要从每个数据点中减去均值。

5.The basic deviation 基本偏差 from the mean indicates how spread out the values are.

与均值的基本偏差 basic deviation 表明数值的分散程度。

作文

In the realm of statistics and data analysis, understanding the concept of basic deviation is crucial for interpreting data accurately. The term basic deviation refers to the measure of how much individual data points deviate from the mean or average value of a dataset. This concept is fundamental because it provides insights into the variability and dispersion within a set of values. When we analyze data, we often seek to understand not just the central tendency—what the average looks like—but also how spread out the data points are around that average. For instance, consider a classroom where students' scores on a mathematics test range from 50 to 100. If the average score is 75, the basic deviation will help us understand how many students scored significantly above or below this average. A low basic deviation indicates that most students scored close to the average, suggesting a uniform level of understanding among them. Conversely, a high basic deviation implies that there are significant differences in performance, which may indicate varying levels of comprehension of the material taught.The calculation of basic deviation typically involves several steps: first, determining the mean of the dataset; second, calculating the difference between each data point and the mean; and finally, assessing the average of these differences. This process can reveal whether the data points are clustered tightly around the mean or if they are widely dispersed. Understanding basic deviation also plays a pivotal role in fields such as finance, where investors assess the risk associated with different assets. A stock with a high basic deviation is considered more volatile and risky compared to one with a low basic deviation, which might suggest steadier returns.Moreover, in quality control processes, basic deviation is used to monitor the consistency of products. Manufacturers strive to keep their products within certain specifications, and by measuring basic deviation, they can determine whether their production processes are stable or if adjustments are needed to reduce variability. This application underscores the importance of basic deviation in maintaining standards and ensuring customer satisfaction.Another important aspect of basic deviation is its relationship with standard deviation, a more complex statistical tool that is derived from basic deviation. While basic deviation gives a straightforward measure of deviation, standard deviation provides a deeper understanding by taking into account the square of these deviations, thus providing a more accurate picture of data variability. In conclusion, grasping the concept of basic deviation is essential for anyone involved in data analysis, whether in academics, finance, manufacturing, or any other field that relies on quantitative data. By understanding how data points differ from the average, we gain valuable insights that can inform decision-making and improve outcomes. Therefore, mastering basic deviation not only enhances our analytical skills but also equips us to interpret the world around us more effectively.

在统计和数据分析领域，理解基本偏差的概念对准确解读数据至关重要。术语基本偏差指的是个别数据点与数据集的均值或平均值之间的偏差程度。这个概念是基础性的，因为它提供了对一组数值中变异性和分散性的洞察。当我们分析数据时，我们通常寻求了解的不仅是集中趋势——平均值的样子——而且还要了解数据点围绕该平均值的分布情况。例如，考虑一个教室，学生的数学考试分数范围从50到100。如果平均分为75，则基本偏差将帮助我们理解有多少学生的分数显著高于或低于这一平均水平。低的基本偏差表明大多数学生的分数接近平均值，这表明他们对所教授材料的理解水平相对一致。相反，高的基本偏差则意味着表现存在显著差异，这可能表明学生对所学材料的理解水平差异较大。基本偏差的计算通常涉及几个步骤：首先，确定数据集的均值；其次，计算每个数据点与均值之间的差异；最后，评估这些差异的平均值。这个过程可以揭示数据点是紧密聚集在均值附近，还是在均值周围广泛分散。理解基本偏差在金融等领域也起着关键作用，投资者评估不同资产相关的风险。具有高基本偏差的股票被认为更具波动性和风险，而低基本偏差的股票可能暗示更稳定的回报。此外，在质量控制过程中，基本偏差用于监控产品的一致性。制造商努力使其产品保持在某些规格范围内，通过测量基本偏差，他们可以确定其生产过程是否稳定，或者是否需要调整以减少变异性。这一应用突显了基本偏差在维持标准和确保客户满意度方面的重要性。基本偏差的另一个重要方面是它与标准偏差的关系，后者是从基本偏差派生出的更复杂的统计工具。虽然基本偏差提供了直接的偏差测量，但标准偏差通过考虑这些偏差的平方，从而提供了更准确的数据变异性图景。总之，掌握基本偏差的概念对于任何参与数据分析的人都至关重要，无论是在学术界、金融、制造业还是任何依赖定量数据的其他领域。通过理解数据点如何与平均值不同，我们获得了可用于决策的信息和改进结果的宝贵洞察。因此，掌握基本偏差不仅增强了我们的分析技能，还使我们能够更有效地解读周围的世界。