estimate by a interval

简明释义

区间估计

英英释义

例句

1.The doctor will estimate by a interval the healing time based on the patient's condition.

医生将根据病人的状况通过区间进行估算愈合时间。

2.In market research, analysts often estimate by a interval to gauge consumer preferences.

在市场研究中，分析师通常通过区间进行估算以评估消费者偏好。

3.The weather forecast estimates by a interval to predict temperature changes over the week.

天气预报通过区间进行估算以预测一周内的温度变化。

4.The engineer will estimate by a interval to determine the project's completion time.

工程师将通过区间进行估算以确定项目的完成时间。

5.We need to estimate by a interval for the budget to account for unexpected expenses.

我们需要通过区间进行估算预算，以考虑意外支出。

作文

In the realm of statistics and data analysis, the concept of estimating values is crucial for making informed decisions. One common method used in this field is to estimate by a interval, which involves determining a range within which we believe a certain parameter lies. This technique is particularly useful when dealing with uncertainty and variability in data. For instance, when conducting surveys or experiments, it is often impractical to measure every single observation. Instead, researchers collect a sample and then use that sample to infer characteristics about the larger population.To illustrate, imagine a scenario where a company wants to understand the average amount of time its customers spend on their website. Rather than tracking every visitor, the company might select a random sample of 100 users. After analyzing this sample, they find that the average time spent is 5 minutes, but there is some variability in the data. To account for this uncertainty, they can estimate by a interval, calculating a confidence interval around the sample mean. This interval might suggest that the true average time spent by all users is likely between 4.5 and 5.5 minutes.This approach provides not only an estimate but also a sense of reliability regarding that estimate. The wider the interval, the more uncertainty there is about the exact value of the parameter, while a narrower interval suggests more precision. Therefore, understanding how to estimate by a interval is essential for anyone working with data. It allows for better decision-making based on statistical evidence rather than mere guesswork.Moreover, the concept of intervals extends beyond just averages. It can be applied to various statistical parameters, including proportions, variances, and regression coefficients. For example, if a researcher is studying the effectiveness of a new drug, they might want to estimate by a interval the proportion of patients who respond positively to the treatment. By analyzing the data from clinical trials, they can construct an interval that reflects the likely range of positive responses in the entire patient population.Additionally, estimate by a interval is not limited to quantitative data. Qualitative research can also benefit from this approach. For instance, when analyzing customer feedback, researchers can categorize responses and use intervals to estimate the range of sentiments expressed. This helps in understanding the overall customer satisfaction and areas for improvement.In conclusion, the ability to estimate by a interval is a fundamental skill in data analysis and research. It empowers analysts to provide insights that are grounded in statistical reasoning, thus enhancing the quality of decision-making processes. As the world becomes increasingly data-driven, mastering this technique will be invaluable for professionals across various fields, from marketing to healthcare. By embracing the power of intervals, we can navigate the complexities of data with greater confidence and clarity, ultimately leading to better outcomes for businesses and society as a whole.

在统计和数据分析领域，估计值的概念对于做出明智的决策至关重要。一种常用的方法是通过区间进行估计，这涉及确定一个范围，在这个范围内我们相信某个参数存在。这个技术在处理数据的不确定性和变异性时尤为有用。例如，在进行调查或实验时，通常不切实际去测量每一个观察结果。相反，研究人员收集一个样本，然后利用该样本推断出更大总体的特征。为了说明这一点，想象一个场景，一家公司希望了解其客户在其网站上花费的平均时间。公司可能不会跟踪每位访客，而是随机选择100名用户进行分析。经过分析后，他们发现平均花费时间为5分钟，但数据中存在一定的变异性。为了考虑这种不确定性，他们可以通过区间进行估计，计算样本均值的置信区间。这个区间可能表明，所有用户的真实平均花费时间可能在4.5到5.5分钟之间。这种方法不仅提供了一个估计，还对该估计的可靠性提供了感知。区间越宽，关于参数的确切值的不确定性就越大，而区间越窄则表明精确度更高。因此，理解如何通过区间进行估计对于任何从事数据工作的人来说都是至关重要的。它使得基于统计证据而非单纯猜测做出更好的决策成为可能。此外，区间的概念不仅限于平均值。它可以应用于各种统计参数，包括比例、方差和回归系数。例如，如果一位研究者正在研究一种新药的有效性，他们可能希望通过区间进行估计对积极反应患者的比例进行估计。通过分析临床试验的数据，他们可以构建一个反映整个患者群体中积极反应可能范围的区间。此外，通过区间进行估计并不限于定量数据。定性研究也可以从这种方法中受益。例如，在分析客户反馈时，研究人员可以对响应进行分类，并使用区间来估计表达的情感范围。这有助于理解整体客户满意度和改进的领域。总之，能够通过区间进行估计是在数据分析和研究中的一项基本技能。它使分析师能够提供基于统计推理的见解，从而增强决策过程的质量。随着世界日益数据驱动，掌握这一技术对于各个领域的专业人士来说将是无价的。从市场营销到医疗保健，通过拥抱区间的力量，我们可以更自信、更清晰地应对数据的复杂性，最终为企业和社会带来更好的成果。