average probability

简明释义

平均概率

英英释义

The mean value of probabilities assigned to different outcomes in a probability distribution, representing the central tendency of those probabilities.

在概率分布中分配给不同结果的概率的平均值,表示这些概率的集中趋势。

例句

1.The average probability 平均概率 of a stock price increase can help investors make informed decisions.

股票价格上涨的平均概率 平均概率可以帮助投资者做出明智的决策。

2.The average probability 平均概率 of success in this project is estimated to be around 75%.

这个项目成功的平均概率 平均概率估计约为75%。

3.The average probability 平均概率 of rain this week is 60%.

本周降雨的平均概率 平均概率是60%。

4.In this game, the average probability 平均概率 of winning is calculated based on past performances.

在这个游戏中,获胜的平均概率 平均概率是根据过去的表现计算出来的。

5.Weather forecasts often rely on the average probability 平均概率 of various weather patterns.

天气预报通常依赖于各种天气模式的平均概率 平均概率

作文

In the realm of statistics, the concept of average probability is crucial for making informed decisions based on data. It represents the mean likelihood of an event occurring over a set period or across a range of scenarios. Understanding average probability can significantly enhance our ability to predict outcomes and manage risks in various fields such as finance, healthcare, and even daily life.To illustrate the importance of average probability, let’s consider a simple example involving weather forecasting. Imagine you are planning a picnic for the weekend. The meteorologist predicts that there is a 60% chance of rain on Saturday and a 30% chance on Sunday. To determine the average probability of rain over the weekend, you can calculate the mean of these two probabilities. By adding them together and dividing by two, you find that there is a 45% average probability of rain during your picnic days. This information is invaluable as it allows you to decide whether to go ahead with your plans or prepare for inclement weather.In finance, investors often use average probability to assess the risk associated with various investment options. For instance, if an investor is considering two different stocks, one may have a historical return rate of 10% with a 40% chance of loss, while another stock has a 15% return rate with a 20% chance of loss. By calculating the average probability of losing money on each investment, the investor can make a more informed choice about where to allocate their resources. This statistical approach helps minimize potential losses and maximize returns, illustrating how average probability can be a powerful tool in decision-making.Moreover, in healthcare, understanding average probability can aid in predicting disease outbreaks or the effectiveness of treatments. For example, if a new vaccine shows a 90% efficacy rate in clinical trials, public health officials might look at the average probability of infection in the population before and after the vaccine is administered. If the baseline infection rate is 5%, the average probability of contracting the disease post-vaccination would be significantly reduced, leading to better public health strategies and resource allocation.In everyday life, we constantly rely on average probability without even realizing it. When deciding whether to carry an umbrella, we often check the weather forecast, which provides us with an average probability of rain. Similarly, when planning travel, we might look at the average probability of traffic congestion at certain times of day to determine the best time to leave. In these instances, understanding average probability influences our choices and helps us navigate uncertainties effectively.In conclusion, the concept of average probability plays a vital role in various aspects of our lives. Whether we are planning a picnic, investing in stocks, or making health-related decisions, understanding and utilizing average probability allows us to make more informed choices. As we continue to gather and analyze data, the ability to comprehend average probability will become increasingly important in navigating the complexities of our world.

在统计学领域,平均概率的概念对于基于数据做出明智决策至关重要。它代表了在一段时间内或在一系列情境中某事件发生的平均可能性。理解平均概率可以显著增强我们预测结果和管理风险的能力,这在金融、医疗保健甚至日常生活等各个领域都非常重要。为了说明平均概率的重要性,让我们考虑一个简单的例子,涉及天气预报。想象一下,你正在计划周末的野餐。气象学家预测周六下雨的概率为60%,而周日则为30%。为了确定周末的平均概率,你可以计算这两个概率的平均值。通过将它们相加并除以二,你会发现周末的平均概率为45%。这一信息非常宝贵,因为它使你能够决定是继续计划还是为恶劣天气做好准备。在金融领域,投资者经常使用平均概率来评估各种投资选项的风险。例如,如果一位投资者正在考虑两只不同的股票,一只股票的历史收益率为10%,损失的概率为40%,而另一只股票的收益率为15%,损失的概率为20%。通过计算每项投资的平均概率,投资者可以更明智地选择资源的分配。这种统计方法有助于最小化潜在损失并最大化回报,说明了平均概率在决策中的强大作用。此外,在医疗保健领域,理解平均概率可以帮助预测疾病爆发或治疗效果。例如,如果一种新疫苗在临床试验中显示出90%的有效率,公共卫生官员可能会在疫苗接种前后查看感染率的平均概率。如果基线感染率为5%,那么接种疫苗后的平均概率将显著降低,从而导致更好的公共卫生策略和资源配置。在日常生活中,我们不断依赖平均概率,而没有意识到。当决定是否携带雨伞时,我们通常会查看天气预报,它为我们提供了平均概率的降雨信息。同样,当计划旅行时,我们可能会查看某些时间段的交通拥堵的平均概率,以确定最佳出发时间。在这些情况下,理解平均概率影响着我们的选择,并帮助我们有效应对不确定性。总之,平均概率的概念在我们生活的各个方面发挥着至关重要的作用。无论我们是在计划野餐、投资股票还是做出健康相关的决策,理解和利用平均概率使我们能够做出更明智的选择。随着我们继续收集和分析数据,理解平均概率的能力将在应对我们世界的复杂性时变得越来越重要。