adjusted mean

简明释义

调整平均数;

英英释义

例句

1.To ensure fairness, we used the adjusted mean to evaluate the effectiveness of the training program.

为了确保公平，我们使用了调整后的均值来评估培训项目的有效性。

2.In the survey analysis, the adjusted mean helped to mitigate the impact of demographic differences.

在调查分析中，调整后的均值有助于减轻人口差异的影响。

3.The financial report included an adjusted mean of the company's revenue after excluding one-time expenses.

财务报告中包含了排除一次性费用后的公司的调整后的均值收入。

4.When comparing test scores, the adjusted mean provides a more accurate representation of student performance.

在比较测试分数时，调整后的均值提供了学生表现的更准确的代表。

5.The researchers calculated the adjusted mean to account for outliers in the data set.

研究人员计算了调整后的均值以考虑数据集中的异常值。

作文

In the field of statistics, understanding various measures of central tendency is crucial for data analysis. One such measure is the adjusted mean, which plays a significant role in providing a more accurate representation of the dataset by accounting for outliers and skewed distributions. The adjusted mean (调整均值) is particularly useful when we want to eliminate the influence of extreme values that can distort the average. For instance, in a classroom where students' test scores are analyzed, if one student scores exceptionally low due to illness, this score could pull down the overall average significantly. By using the adjusted mean, we can calculate the average score without including this outlier, thus giving a clearer picture of the students' performance.When we compute the adjusted mean, we typically remove certain data points based on specific criteria. This process can involve excluding values that fall outside a certain range or applying a weighting system to give less importance to extreme scores. For example, in a survey measuring income levels, if a few respondents report extraordinarily high incomes, their responses might skew the average income upwards. In this case, calculating the adjusted mean allows researchers to present a more realistic view of the typical income within the surveyed population.The application of the adjusted mean is not limited to academic settings; it is widely used in various industries. In finance, analysts often use the adjusted mean to assess the performance of investment portfolios. By removing the effects of market anomalies or one-time events, they can provide investors with a clearer understanding of how well their investments are performing over time. Similarly, in healthcare, researchers may use the adjusted mean to analyze patient outcomes while controlling for factors such as age, gender, or pre-existing conditions. This ensures that the results reflect the true effectiveness of treatments rather than being influenced by demographic variables.Moreover, the adjusted mean can also enhance decision-making processes in business. Companies often rely on customer feedback scores to evaluate their products or services. If a few customers leave extremely negative reviews, these can disproportionately affect the overall satisfaction rating. By calculating the adjusted mean, businesses can focus on the majority of feedback and make informed decisions to improve their offerings.In conclusion, the adjusted mean (调整均值) serves as a vital statistical tool that helps in accurately interpreting data by mitigating the impact of outliers. Its versatility across different fields—be it education, finance, healthcare, or business—demonstrates its importance in providing a clearer understanding of trends and patterns. As we continue to navigate through an increasingly data-driven world, mastering the concept of the adjusted mean will undoubtedly enhance our analytical skills and improve our ability to make data-informed decisions.