statistical probability

简明释义

统计概率

英英释义

例句

1.Understanding statistical probability 统计概率 can help you make better decisions in gambling.

理解统计概率 统计概率可以帮助你在赌博中做出更好的决策。

2.The statistical probability 统计概率 of winning the lottery is extremely low.

中奖的统计概率 统计概率极低。

3.We used statistical probability 统计概率 to predict the weather for this weekend.

我们使用统计概率 统计概率来预测这个周末的天气。

4.In this study, we calculated the statistical probability 统计概率 of developing a certain disease.

在这项研究中，我们计算了患某种疾病的统计概率 统计概率。

5.The statistical probability 统计概率 of rolling a six on a fair die is 1 in 6.

在一个公平的骰子上掷出六的统计概率 统计概率是六分之一。

作文

In our daily lives, we often encounter situations that require us to make decisions based on uncertainty. One of the most effective ways to navigate these uncertain situations is through the understanding of statistical probability（统计概率）. This concept allows us to quantify the likelihood of various outcomes, enabling us to make informed choices based on data rather than mere intuition.Statistical probability is a branch of mathematics that deals with the analysis of random phenomena. It provides a framework for understanding how likely an event is to occur, based on historical data and statistical models. For instance, when weather forecasts predict a 70% chance of rain, they are using statistical probability（统计概率） to convey the likelihood of precipitation based on past weather patterns.Understanding statistical probability（统计概率） is crucial in many fields, including finance, healthcare, and social sciences. In finance, investors use statistical models to assess the risks associated with different investment options. By analyzing past market performance, they can estimate the probability of future returns, allowing them to make more strategic investment decisions. Similarly, in healthcare, medical professionals rely on statistical probability（统计概率） to evaluate the effectiveness of treatments and to predict patient outcomes based on various factors.Moreover, statistical probability（统计概率） plays a significant role in scientific research. Researchers often conduct experiments and collect data to test hypotheses. By applying statistical methods, they can determine the probability that their results are due to chance rather than a true effect. This rigorous approach ensures that scientific findings are credible and reliable, which is essential for advancing knowledge and developing new technologies.However, it is important to note that while statistical probability（统计概率） provides valuable insights, it is not infallible. Probabilities are based on models that make certain assumptions, and if those assumptions are incorrect, the predictions may be misleading. Therefore, it is essential to interpret statistical probabilities carefully and consider other contextual factors that may influence outcomes.In conclusion, mastering the concept of statistical probability（统计概率） is vital for making informed decisions in an uncertain world. Whether we are predicting the weather, investing in the stock market, or conducting scientific research, understanding the likelihood of various outcomes helps us navigate complexity with greater confidence. As we continue to collect and analyze data in our increasingly data-driven society, the importance of statistical probability（统计概率） will only continue to grow, shaping our understanding of the world around us and guiding our choices in meaningful ways.

在我们的日常生活中，我们经常会遇到需要根据不确定性做出决策的情况。有效地应对这些不确定情况的方式之一是理解statistical probability（统计概率）这一概念。这个概念使我们能够量化各种结果发生的可能性，从而使我们能够基于数据而非简单的直觉做出明智的选择。Statistical probability（统计概率）是数学的一个分支，处理随机现象的分析。它提供了一个框架，用于理解某个事件发生的可能性，基于历史数据和统计模型。例如，当天气预报预测降雨概率为70%时，他们使用statistical probability（统计概率）来传达基于过去天气模式的降水可能性。理解statistical probability（统计概率）在许多领域至关重要，包括金融、医疗保健和社会科学。在金融领域，投资者使用统计模型来评估与不同投资选项相关的风险。通过分析过去的市场表现，他们可以估计未来回报的概率，从而使他们能够做出更具战略性的投资决策。同样，在医疗保健领域，医疗专业人士依赖于statistical probability（统计概率）来评估治疗的有效性，并根据各种因素预测患者的结果。此外，statistical probability（统计概率）在科学研究中也发挥着重要作用。研究人员通常会进行实验并收集数据以检验假设。通过应用统计方法，他们可以确定其结果由于偶然而非真实效果的概率。这种严格的方法确保科学发现是可信可靠的，这对于推动知识进步和开发新技术至关重要。然而，重要的是要注意，尽管statistical probability（统计概率）提供了有价值的见解，但它并不是万无一失的。概率是基于做出某些假设的模型，如果这些假设不正确，预测可能会产生误导。因此，仔细解读统计概率并考虑可能影响结果的其他背景因素至关重要。总之，掌握statistical probability（统计概率）这一概念，对于在不确定的世界中做出明智的决策至关重要。无论我们是在预测天气、投资股票市场，还是进行科学研究，理解各种结果的可能性帮助我们以更大的信心应对复杂性。随着我们在日益数据驱动的社会中不断收集和分析数据，statistical probability（统计概率）的重要性只会继续增长，塑造我们对周围世界的理解，并以有意义的方式指导我们的选择。