variance

简明释义

英[ˈveəriəns]美[ˈveriənsˌˈværiəns]

n. 分歧，不一致；变化幅度，差额；（官方的）特殊许可；（律）（两个供述或证据间的）不符；（统计）方差

复 数 v a r i a n c e s

英英释义

单词用法

同义词

反义词

例句

1.This is ten to the 12, right? It's still a huge variance.

这是十的12次方，对吗？它仍然是个巨大的变量。

2.We want a high expected value of returns, but we don't like variance.

我们希望收益的期望值较高,并且稳定

3.Often, much of the variance is due to factors that include the client.

多数偏差是由于包含客户的因素引起的。

4.These conclusions are totally at variance with the evidence.

这些结论与证据完全相悖。

5.Reduced variance in estimation.

在估值中减少的变化。

6.Thus, the variance for these projects is limited to a fairly small range.

因此，这种不一致性在这些项目中被限定在一个相当小的范围内。

7.I mentioned the potential variance caused by the choice of prefixes.

我提到了前缀选择造成的各种可能的变化。

8.Many of his statements were at variance with the facts.

他的许多陈述都与事实相矛盾。

9.It's very foolish to use variance.

使用方差是很愚蠢的。

10.The company reported a significant variance in its quarterly earnings compared to last year.

该公司报告了与去年相比，季度收益存在显著的差异。

11.To understand the variance in test scores, we analyzed the data from multiple schools.

为了理解考试成绩的差异，我们分析了多所学校的数据。

12.There was a variance between the budgeted and actual expenses for the project.

项目的预算费用与实际费用之间存在差异。

13.The variance in temperature readings can affect the results of the experiment.

温度读数的差异可能会影响实验结果。

14.In statistics, variance is a measure of how far a set of numbers are spread out from their average.

在统计学中，方差是衡量一组数字与其平均值之间的分散程度的指标。

作文

In the field of statistics, the term variance refers to a measure of how much values in a data set differ from the mean. Understanding variance is crucial for anyone looking to analyze data effectively. It provides insights into the distribution and spread of data points, allowing statisticians and researchers to draw meaningful conclusions. For instance, a low variance indicates that the data points are close to the mean, while a high variance suggests that they are spread out over a wider range. This concept is not only applicable in statistics but also in various real-world scenarios. Consider the realm of finance, where investors often examine the variance of stock prices to assess risk. A stock with a high variance may be seen as riskier because its price fluctuates significantly, making it less predictable. Conversely, stocks with low variance are typically viewed as more stable investments. Thus, understanding variance helps investors make informed decisions based on their risk tolerance and investment goals.Moreover, the concept of variance extends beyond finance into areas such as quality control in manufacturing. Companies strive to maintain low variance in their production processes to ensure consistent product quality. If a factory produces items with a high variance in dimensions or weight, it may lead to customer dissatisfaction and increased costs due to rework or returns. By monitoring variance, companies can implement measures to standardize their processes and improve overall quality.In education, variance plays a role in assessing student performance. Educators often look at the variance in test scores to determine if there are significant disparities among students. A high variance might indicate that some students are struggling while others excel, prompting teachers to tailor their instruction to meet diverse learning needs. This analysis can lead to more effective teaching strategies and improved educational outcomes.In summary, variance is a fundamental concept that permeates various fields, from finance to manufacturing and education. It provides valuable information about the spread and consistency of data, enabling better decision-making and problem-solving. By grasping the significance of variance, individuals and organizations can enhance their analytical skills and apply them to real-world challenges. Ultimately, understanding variance not only enriches our comprehension of data but also empowers us to make more informed choices in our professional and personal lives.

在统计学领域，术语variance指的是数据集中数值与均值之间差异的度量。理解variance对于任何希望有效分析数据的人来说都是至关重要的。它提供了有关数据点分布和扩散的见解，使统计学家和研究人员能够得出有意义的结论。例如，低variance表明数据点接近均值，而高variance则表明它们在更广泛的范围内分散。这个概念不仅适用于统计学，还适用于各种现实世界的场景。考虑金融领域，投资者常常检查股票价格的variance以评估风险。具有高variance的股票可能被视为风险较大，因为其价格波动显著，使其不那么可预测。相反，具有低variance的股票通常被视为更稳定的投资。因此，理解variance可以帮助投资者根据其风险承受能力和投资目标做出明智的决策。此外，variance的概念超越了金融，延伸到制造业的质量控制领域。公司努力保持生产过程中的低variance以确保产品质量的一致性。如果一家工厂生产的物品在尺寸或重量上具有高variance，可能会导致客户不满和因返工或退货而增加的成本。通过监控variance，公司可以实施措施来标准化其流程并提高整体质量。在教育中，variance在评估学生表现方面也发挥着作用。教育工作者通常会查看测试成绩的variance以确定学生之间是否存在显著差异。高variance可能表明一些学生在挣扎，而其他学生则表现出色，这促使教师调整教学以满足不同的学习需求。这种分析可以导致更有效的教学策略和改善的教育成果。总之，variance是一个基本概念，渗透到各个领域，从金融到制造业再到教育。它提供了有关数据扩散和一致性的重要信息，使得更好的决策和问题解决成为可能。通过掌握variance的重要性，个人和组织可以增强他们的分析技能，并将其应用于现实世界的挑战。最终，理解variance不仅丰富了我们对数据的理解，还使我们能够在职业和个人生活中做出更明智的选择。