significant variance

简明释义

重大差异

英英释义

例句

1.There was a significant variance 显著差异 in customer satisfaction ratings across different regions.

不同地区的顾客满意度评分存在显著差异。

2.The survey results revealed a significant variance 显著差异 in opinions on climate change.

调查结果揭示了对气候变化看法的显著差异。

3.Researchers found a significant variance 显著差异 in the effectiveness of the new drug among different age groups.

研究人员发现新药在不同年龄组中的有效性存在显著差异。

4.The study showed a significant variance 显著差异 in test scores between the two groups.

研究显示两组之间的测试分数存在显著差异。

5.The financial report indicated a significant variance 显著差异 in revenue compared to last year.

财务报告显示与去年相比，收入存在显著差异。

作文

In the field of statistics and research, understanding the concept of significant variance is crucial for interpreting data accurately. Significant variance refers to a situation where the differences observed in a dataset are not due to random chance but instead indicate a meaningful distinction that warrants further investigation. This concept is particularly important in fields such as psychology, medicine, and economics, where researchers must determine whether their findings have real-world implications or are simply the result of variability in the data. For instance, consider a study examining the effectiveness of a new medication. Researchers may collect data on patient outcomes before and after administering the drug. If the results show a significant variance in recovery rates between the treatment group and the control group, it suggests that the medication has a genuine effect. However, if the variance is not significant, it could mean that the observed differences are merely due to random fluctuations in the sample. The determination of significant variance typically involves statistical testing. Common tests include t-tests, ANOVA, and chi-square tests, each designed to assess whether the observed differences between groups are statistically significant. A p-value is often calculated during this process; a p-value less than 0.05 is commonly accepted as an indicator of significant variance. This threshold implies that there is less than a 5% probability that the observed differences occurred by chance. In addition to its application in scientific research, the notion of significant variance also plays a critical role in business and finance. Companies frequently analyze sales data, customer satisfaction scores, and market trends to make informed decisions. For example, if a company notices significant variance in sales figures across different regions, it may prompt them to investigate further. Understanding why certain regions perform better than others can lead to strategic adjustments, such as targeted marketing efforts or changes in product offerings. Moreover, recognizing significant variance helps organizations identify potential risks and opportunities. In risk management, for instance, identifying areas with significant variance in performance metrics can alert managers to underlying issues that need to be addressed. Conversely, spotting positive variance can highlight successful strategies that could be replicated in other areas. In conclusion, the concept of significant variance is integral to various disciplines, providing a framework for understanding and interpreting data. Whether in scientific research, business analysis, or any field that relies on data-driven decision-making, recognizing when variance is significant allows stakeholders to draw meaningful conclusions and take appropriate action. As we continue to navigate a world increasingly driven by data, mastering the interpretation of significant variance will remain an essential skill for professionals across all domains.

在统计和研究领域，理解显著差异的概念对于准确解读数据至关重要。显著差异指的是在数据集中观察到的差异不是由于随机机会造成的，而是表明了一个有意义的区别，值得进一步调查。这个概念在心理学、医学和经济学等领域尤为重要，因为研究人员必须确定他们的发现是否具有现实世界的影响，或者仅仅是数据中变异性的结果。例如，考虑一项研究，检查一种新药的有效性。研究人员可能会收集在给药前和给药后患者结果的数据。如果结果显示治疗组和对照组之间的恢复率存在显著差异，这表明该药物确实有作用。然而，如果差异不显著，则可能意味着观察到的差异仅仅是样本中的随机波动所致。显著差异的确定通常涉及统计测试。常见的测试包括t检验、方差分析（ANOVA）和卡方检验，每种测试旨在评估组之间观察到的差异是否具有统计显著性。在这个过程中，通常会计算p值；p值小于0.05通常被接受为显著差异的指标。这一阈值意味着观察到的差异发生的概率小于5%。除了在科学研究中的应用外，显著差异的概念在商业和金融中也发挥着关键作用。公司经常分析销售数据、客户满意度评分和市场趋势，以做出明智的决策。例如，如果一家公司注意到不同地区的销售数字存在显著差异，这可能促使他们进一步调查。了解某些地区表现优于其他地区的原因，可以导致战略调整，例如针对性的营销活动或产品供应的变化。此外，识别显著差异帮助组织识别潜在风险和机会。在风险管理中，识别绩效指标中存在显著差异的领域可以提醒管理者需要解决的潜在问题。相反，发现积极差异可以突出成功的策略，这些策略可以在其他领域复制。总之，显著差异的概念在各个学科中都是不可或缺的，为理解和解释数据提供了框架。无论是在科学研究、商业分析还是任何依赖数据驱动决策的领域，识别何时差异显著使利益相关者能够得出有意义的结论并采取适当的行动。随着我们继续在一个日益由数据驱动的世界中航行，掌握对显著差异的解读将仍然是各个领域专业人士的重要技能。