unadjusted

简明释义

英[ˌʌnəˈdʒʌstɪd]美[ˌʌnəˈdʒʌstɪd]

adj. 未调整的

英英释义

单词用法

同义词

反义词

例句

1.Seasonal adjustments anticipate a rise in claims in the week after the Labor Day federal holiday, and an unadjusted increase in claims fell short of the expected increase, the official said.

从季节性调整中预见在联邦法定假日劳工节后申请失业会增加，同时该官员指出未调整的申请数增长低于预期的增长。

2.The unadjusted hazard ratio (95% CI) for cancer was 0.46 (0.40-0.53).

未经校正的癌症风险系数(95%CI)为0.46 (0.40—0.53)。

3.If this trend continues, then the unadjusted rate will fall to meet the adjusted rate, which is certainly better than the alternative.

如果按这种趋势继续下去，蓝线将向下相交于红线，这显然比其他结果要好。

4.The study found similar differences between the unadjusted and adjusted pay gaps in each country analyzed.

研究发现，调整前和调整后的工资差距在各个国家之间有着类似的差异分析。

5.Unadjusted figures which do not take tourism into account showed that unemployment fell in July.

不含旅游业的调整前数字表明七月份失业率下降。

6.This calculation takes into account the unadjusted weighted average of the specific country as versus all of the major currencies that are being traded on a particular pool or currencies or index.

这种计算考虑到所有与其有贸易往来交易的一篮子货币，惟在计算中其加权平均未经调整。

7.Mainly because we had to use unadjusted point differential and not SRS.

主要是因为我们用的是未调整过的微分，而不是SRS。

8.The unadjusted odds ratio (or) for the association between pesticide storage at home and suicidal ideation over the prior 2 years was 2.12 (95% confidence interval, ci: 1.54-2.93).

2年前家中存有农药与自杀意念之间关系的未校正优势比(OR)为2.12(95%置信区间，CI： 1.54—2.93)。

9.This trial balance is prepared before the adjusting entries are made; therefore, it is often called the unadjusted trial balance. A trial balance lists each account with its debit or credit balance.

因此，它通常被称为期末调整的试算平衡表一个试算平衡表列示了所有的借方和贷方科目。

10.The report shows the sales figures in their unadjusted form, meaning they haven't been modified for seasonal variations.

报告显示的销售数字是以未调整的形式呈现，意味着它们没有针对季节性变化进行修改。

11.The unadjusted results may not reflect the true performance due to external factors affecting the outcome.

由于外部因素影响结果，未调整的结果可能无法反映真实的表现。

12.When analyzing the data, it's important to consider the unadjusted rates to understand the raw impact of the changes.

在分析数据时，考虑未调整的比率很重要，以了解变化的原始影响。

13.The unadjusted data can sometimes reveal trends that are masked by adjustments.

有时候，未调整的数据可以揭示被调整掩盖的趋势。

14.For a clearer picture, we need to look at the unadjusted figures before making any conclusions.

为了更清晰的了解，我们需要查看未调整的数字，然后再做结论。

作文

In the realm of data analysis, the term unadjusted refers to values that have not been modified or corrected for any external factors. This concept is crucial in various fields, including economics, statistics, and scientific research. When we talk about unadjusted figures, we are essentially discussing raw data that has not been influenced by adjustments for seasonality, inflation, or other variables that could skew the results. For instance, if we examine the unemployment rate, an unadjusted rate would simply reflect the number of unemployed individuals without accounting for seasonal employment fluctuations that occur during different times of the year.Understanding the implications of using unadjusted data is vital for accurate interpretation. In many cases, relying solely on unadjusted figures can lead to misleading conclusions. For example, a sudden spike in the unadjusted unemployment rate might suggest a significant economic downturn. However, if we consider the adjusted data that accounts for seasonal trends, we may find that the increase is typical for that time of year and does not indicate a long-term economic issue.Moreover, in scientific research, unadjusted data can pose challenges when drawing conclusions from experiments. Researchers often collect raw data before applying statistical methods to adjust for confounding variables. If a study reports unadjusted results, it may overlook important factors that could influence the outcomes. For instance, a clinical trial examining the effectiveness of a new drug might present unadjusted results that fail to account for participants' varying health conditions. Such oversights can lead to erroneous claims about the drug's efficacy.In contrast, adjusted data provides a clearer picture by controlling for these external influences. Adjustments can be made using various statistical techniques, such as regression analysis, which helps isolate the effects of specific variables. By understanding the difference between unadjusted and adjusted data, analysts and researchers can make more informed decisions and create more reliable models.Furthermore, the choice between using unadjusted versus adjusted data depends on the context of the analysis. For preliminary assessments, unadjusted data can offer a quick snapshot of a situation. However, for comprehensive studies or policy-making decisions, adjusted data is often preferred to ensure accuracy and reliability.In conclusion, while unadjusted data serves as a foundational element in analysis, it is essential to recognize its limitations. The raw nature of unadjusted figures can sometimes obscure the truth, leading to potential misinterpretations. Therefore, analysts and researchers must approach unadjusted data with caution and complement it with adjusted figures to gain a more nuanced understanding of the phenomena they are studying. Only through this careful consideration can we hope to draw meaningful conclusions and make sound decisions based on data.

在数据分析领域，术语unadjusted指的是未经过任何外部因素修改或校正的数值。这个概念在经济学、统计学和科学研究等多个领域中至关重要。当我们谈论unadjusted数字时，我们实际上是在讨论未经季节性、通货膨胀或其他可能扭曲结果的变量调整的原始数据。例如，如果我们检查失业率，unadjusted率将简单地反映失业人数，而不考虑一年中不同时间的季节性就业波动。理解使用unadjusted数据的含义对准确解释至关重要。在许多情况下，仅依赖unadjusted数字可能导致误导性的结论。例如，失业率的unadjusted急剧上升可能表明经济严重下滑。然而，如果我们考虑调整后的数据，考虑到季节性趋势，我们可能会发现这种增加在那个时期是典型的，并不表明长期的经济问题。此外，在科学研究中，unadjusted数据在从实验中得出结论时可能会带来挑战。研究人员通常在应用统计方法以调整混杂变量之前收集原始数据。如果一项研究报告unadjusted结果，可能会忽视可能影响结果的重要因素。例如，一项研究新药有效性的临床试验可能呈现unadjusted结果，未能考虑参与者的健康状况差异。这种疏忽可能导致对药物疗效的错误声明。相比之下，调整后的数据通过控制这些外部影响提供了更清晰的图景。可以使用各种统计技术进行调整，例如回归分析，这有助于孤立特定变量的影响。通过理解unadjusted和调整后数据之间的区别，分析师和研究人员可以做出更明智的决策并创建更可靠的模型。此外，选择使用unadjusted与调整后数据取决于分析的上下文。对于初步评估，unadjusted数据可以快速提供情况快照。然而，对于全面研究或政策制定决策，通常更倾向于使用调整后的数据，以确保准确性和可靠性。总之，虽然unadjusted数据作为分析的基础元素，但认识到其局限性至关重要。unadjusted数字的原始性质有时可能掩盖真相，导致潜在的误解。因此，分析师和研究人员必须谨慎处理unadjusted数据，并用调整后的数字补充，以获得对他们研究现象的更细致理解。只有通过这种仔细考虑，我们才能希望从数据中得出有意义的结论并做出合理的决策。