deviation standard

简明释义

偏差标准

英英释义

例句

1.In quality control, the deviation standard 标准差 helps identify defects in manufacturing processes.

在质量控制中，deviation standard 标准差有助于识别制造过程中的缺陷。

2.To improve accuracy, we need to reduce the deviation standard 标准差 of our measurements.

为了提高准确性，我们需要减少我们的测量的deviation standard 标准差。

3.The team analyzed the data to determine the deviation standard 标准差 for their project outcomes.

团队分析数据以确定他们项目结果的deviation standard 标准差。

4.The deviation standard 标准差 is crucial for understanding the spread of data in statistical analysis.

在统计分析中，deviation standard 标准差对于理解数据的分布至关重要。

5.A high deviation standard 标准差 indicates a greater variability in the test scores.

高deviation standard 标准差表示测试分数的变异性更大。

作文

In the realm of statistics and data analysis, understanding the concept of deviation standard is crucial for interpreting data accurately. The deviation standard, or standard deviation, measures the amount of variation or dispersion in a set of values. When we analyze data, we often want to know how much individual data points differ from the mean, or average, of the dataset. This is where the deviation standard comes into play. To illustrate this concept, let's consider a simple example. Imagine a class of students who took a math test. If all the students scored around 80 out of 100, the deviation standard would be low, indicating that there is little variability in their scores. However, if some students scored 50 while others scored 100, the deviation standard would be high, showing that there is significant variation among the scores. The formula for calculating the deviation standard involves several steps. First, you find the mean of the dataset. Next, you subtract the mean from each data point and square the result. Then, you calculate the average of these squared differences. Finally, the deviation standard is obtained by taking the square root of this average. This process not only helps in understanding the data better but also plays a vital role in various fields such as finance, psychology, and quality control. In finance, for instance, investors use the deviation standard to assess the risk associated with an investment. A higher deviation standard indicates greater volatility in the asset's price, which can signal a higher risk for investors. Conversely, a lower deviation standard suggests more stability and predictability in returns. Thus, understanding the deviation standard allows investors to make informed decisions based on their risk tolerance.Moreover, in the field of psychology, researchers often rely on the deviation standard to interpret the results of experiments and surveys. For example, when measuring the effectiveness of a new therapy, the deviation standard can help determine whether the observed changes in patients' conditions are statistically significant or merely due to random chance. By analyzing the deviation standard, psychologists can draw meaningful conclusions about the effectiveness of their interventions. Quality control in manufacturing also heavily depends on the deviation standard. Companies strive for consistency in their products, and monitoring the deviation standard of product measurements helps identify variations that could lead to defects. If the deviation standard exceeds acceptable limits, it signals the need for corrective actions to ensure product quality meets customer expectations. In conclusion, the deviation standard is more than just a mathematical concept; it is a powerful tool that aids in decision-making across various domains. Whether in finance, psychology, or manufacturing, understanding the deviation standard empowers individuals and organizations to analyze data effectively, assess risks, and maintain quality. As we continue to navigate an increasingly data-driven world, grasping the significance of the deviation standard will undoubtedly enhance our ability to interpret information and make informed choices.

在统计学和数据分析领域，理解deviation standard的概念对于准确解读数据至关重要。deviation standard或标准差，测量一组值的变异或离散程度。当我们分析数据时，通常想要知道个别数据点与数据集的均值或平均值有多大差异。这就是deviation standard派上用场的地方。为了说明这一概念，让我们考虑一个简单的例子。假设一个班级的学生参加了一次数学测试。如果所有学生的得分都在80分左右，那么deviation standard将会很低，表明他们的分数变化不大。然而，如果一些学生得了50分，而其他学生得了100分，那么deviation standard将会很高，显示出分数之间存在显著的差异。计算deviation standard的公式涉及几个步骤。首先，找出数据集的均值。接下来，从每个数据点中减去均值并平方结果。然后，计算这些平方差的平均值。最后，通过取这个平均值的平方根来得到deviation standard。这个过程不仅有助于更好地理解数据，而且在金融、心理学和质量控制等多个领域发挥着重要作用。例如，在金融领域，投资者使用deviation standard来评估投资相关的风险。较高的deviation standard表示资产价格波动性较大，这可能对投资者构成更高的风险。相反，较低的deviation standard则暗示回报的稳定性和可预测性。因此，理解deviation standard使投资者能够根据其风险承受能力做出明智的决策。此外，在心理学领域，研究人员常常依赖deviation standard来解读实验和调查的结果。例如，在测量一种新疗法的有效性时，deviation standard可以帮助确定观察到的患者状况变化是否具有统计学意义，还是仅仅由于随机偶然。通过分析deviation standard，心理学家可以对其干预措施的有效性得出有意义的结论。制造业中的质量控制也严重依赖于deviation standard。公司力求产品的一致性，监测产品测量的deviation standard有助于识别可能导致缺陷的变异。如果deviation standard超过可接受的限制，这就表明需要采取纠正措施，以确保产品质量满足客户期望。总之，deviation standard不仅仅是一个数学概念；它是一个强大的工具，有助于在各个领域的决策过程中。无论是在金融、心理学还是制造业，理解deviation standard使个人和组织能够有效地分析数据、评估风险和维护质量。随着我们继续在一个日益数据驱动的世界中航行，掌握deviation standard的重要性无疑将增强我们解读信息和做出明智选择的能力。