averaging time
简明释义
1. 平均时间; 2. 平均次数;
英英释义
Averaging time refers to the duration over which measurements or data points are collected and averaged to produce a more stable or representative value. | 平均时间是指收集和平均测量或数据点的持续时间,以产生更稳定或更具代表性的值。 |
例句
1.The weather report indicates that the temperature will be calculated using an averaging time of 24 hours.
天气报告显示,温度将使用平均时间为24小时进行计算。
2.The system allows you to adjust the averaging time based on your needs.
该系统允许您根据需要调整平均时间。
3.In our study, we used an averaging time of 30 seconds to measure the heart rate.
在我们的研究中,我们使用了30秒的平均时间来测量心率。
4.When analyzing data, an averaging time of one week can help smooth out fluctuations.
在分析数据时,使用一周的平均时间可以帮助平滑波动。
5.For accurate results, the averaging time should be set to a minimum of 10 minutes.
为了获得准确的结果,平均时间应设置为至少10分钟。
作文
In the realm of data analysis, the concept of averaging time plays a crucial role in understanding temporal trends and patterns. 平均时间 refers to the duration over which data points are collected and averaged to provide a clearer picture of underlying trends. For instance, when analyzing stock market trends, investors often look at the average price of a stock over a period of days, weeks, or even months. This approach allows them to smooth out short-term fluctuations and focus on the longer-term trajectory of the stock's performance.The significance of averaging time extends beyond finance; it is also vital in fields such as meteorology, where weather data is collected over specific periods to predict future conditions. Meteorologists might analyze temperature data averaged over a month to understand seasonal changes better, rather than relying on daily highs and lows that can be misleading due to anomalies like heatwaves or cold fronts. By using an appropriate averaging time, they can provide more accurate forecasts that help individuals and businesses plan accordingly.Moreover, in scientific research, averaging time is essential for experimental accuracy. Researchers often conduct multiple trials of an experiment and average the results to account for variability. For example, if a scientist is measuring the reaction time of a chemical process, they may take readings over several hours and average those times to ensure that their final data reflects a true representation of the reaction speed. This practice minimizes errors and enhances the reliability of the findings.However, selecting the right averaging time is not always straightforward. If the period is too short, the averaged data may still reflect noise rather than genuine trends. Conversely, if the period is too long, significant changes may be overlooked. Therefore, analysts must carefully consider the context and the nature of the data when determining the appropriate averaging time.In conclusion, averaging time is a fundamental concept that aids in interpreting data across various fields. Whether it is in finance, meteorology, or scientific research, understanding how to effectively use averaging time can lead to more informed decision-making and better predictions. As we continue to collect vast amounts of data in our increasingly data-driven world, mastering the art of averaging time will remain a vital skill for analysts, researchers, and decision-makers alike.
在数据分析领域,平均时间的概念在理解时间趋势和模式方面起着至关重要的作用。平均时间指的是收集和平均数据点的持续时间,以提供更清晰的潜在趋势图景。例如,在分析股市趋势时,投资者通常会查看某只股票在几天、几周甚至几个月内的平均价格。这种方法允许他们平滑短期波动,关注股票表现的长期轨迹。平均时间的重要性不仅限于金融;它在气象学等领域也至关重要,气象学家在特定时间段内收集天气数据以预测未来条件。气象学家可能会分析一个月内的温度数据,以更好地理解季节变化,而不是依赖于可能因热浪或冷锋而产生误导的每日高低温。通过使用适当的平均时间,他们能够提供更准确的预测,帮助个人和企业做好相应的计划。此外,在科学研究中,平均时间对实验的准确性至关重要。研究人员通常会进行多次实验,并对结果进行平均,以考虑变异性。例如,如果一位科学家正在测量化学反应的反应时间,他们可能会在几个小时内进行多次读数并对这些时间进行平均,以确保最终数据反映反应速度的真实表现。这种做法最小化了错误,提高了研究结果的可靠性。然而,选择合适的平均时间并不总是简单。如果时间段过短,平均数据可能仍然反映噪声,而不是实际趋势。相反,如果时间段过长,可能会忽视重要变化。因此,分析师在确定适当的平均时间时,必须仔细考虑上下文和数据的性质。总之,平均时间是一个基本概念,有助于在各个领域解读数据。无论是在金融、气象还是科学研究中,理解如何有效利用平均时间都能导致更明智的决策和更好的预测。随着我们在日益数据驱动的世界中收集大量数据,掌握平均时间的艺术将继续成为分析师、研究人员和决策者的重要技能。