statistical probability

简明释义

统计概率

英英释义

例句

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

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。

2.We used statistical probability 统计概率 to determine the likelihood of rain tomorrow.

我们使用统计概率 统计概率来确定明天下雨的可能性。

3.In this study, we calculated the statistical probability 统计概率 of developing heart disease based on lifestyle factors.

在这项研究中，我们根据生活方式因素计算了患心脏病的统计概率 统计概率。

4.Understanding statistical probability 统计概率 can help make informed decisions in business.

理解统计概率 统计概率可以帮助在商业中做出明智的决策。

5.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。

作文

Statistical probability is a fundamental concept that plays a crucial role in various fields, including mathematics, science, economics, and everyday decision-making. At its core, statistical probability refers to the likelihood of an event occurring based on the analysis of historical data and patterns. By understanding this concept, individuals can make more informed choices and predictions about future events. For instance, when weather forecasts predict a 70% chance of rain, they are using statistical probability to inform the public about the likelihood of precipitation based on past weather patterns and current atmospheric conditions.One way to grasp the idea of statistical probability (统计概率) is through the use of examples. Consider a simple scenario involving a six-sided die. Each face of the die has an equal chance of landing face up when rolled. The statistical probability (统计概率) of rolling a three, for example, is 1 in 6, or approximately 16.67%. This calculation is derived from the total number of possible outcomes (six) and the number of favorable outcomes (one). Understanding such basic probabilities lays the groundwork for more complex statistical analyses.In real-world applications, statistical probability (统计概率) becomes even more significant. For instance, businesses often rely on statistical models to forecast sales and market trends. By analyzing past sales data, companies can estimate future performance and make strategic decisions accordingly. This reliance on statistical probability (统计概率) allows businesses to allocate resources efficiently and minimize risks associated with uncertainty.Moreover, the field of medicine heavily utilizes statistical probability (统计概率) in clinical trials and epidemiological studies. Researchers assess the effectiveness of new treatments by comparing the outcomes of a treatment group with a control group. The statistical probability (统计概率) of success or failure is calculated to determine whether a new drug is effective. Such analyses are vital for ensuring that medical interventions are safe and beneficial for patients.In addition to its applications in business and medicine, statistical probability (统计概率) also impacts everyday life. People often use it, consciously or unconsciously, when making decisions. For example, when choosing whether to carry an umbrella based on a weather report, individuals are employing statistical probability (统计概率) to weigh the chances of getting wet against the inconvenience of carrying an umbrella. This decision-making process illustrates how deeply ingrained statistical probability (统计概率) is in our daily lives.However, it is essential to recognize that statistical probability (统计概率) is not infallible. It is based on past data and assumptions that may not always hold true in the future. For instance, if a coin is flipped and lands on heads ten times in a row, the statistical probability (统计概率) of it landing on heads again remains 50%. This phenomenon, known as the gambler's fallacy, highlights the misconception that past events influence future probabilities in independent trials.In conclusion, statistical probability (统计概率) is a powerful tool that aids in understanding and navigating uncertainty in various aspects of life. By analyzing data and recognizing patterns, individuals and organizations can make better-informed decisions. Whether in business, medicine, or daily choices, the applications of statistical probability (统计概率) are vast and invaluable. As we continue to collect and analyze data in our increasingly complex world, mastering the concept of statistical probability (统计概率) will become even more critical for effective decision-making and problem-solving.

统计概率是一个基本概念，在数学、科学、经济学和日常决策等多个领域中发挥着至关重要的作用。从本质上讲，统计概率指的是基于历史数据和模式分析事件发生的可能性。通过理解这一概念，个人可以更明智地选择和预测未来事件。例如，当天气预报预测降雨概率为70%时，他们正在利用统计概率来告知公众降水的可能性，这一预测是基于过去的天气模式和当前的大气条件。理解统计概率（statistical probability）这一概念的一种方法是通过使用示例。考虑一个简单的场景，涉及一个六面的骰子。骰子的每一面在掷出时都有相等的机会朝上。掷出三的统计概率（statistical probability）为1/6，或大约16.67%。这个计算是由可能结果的总数（六）和有利结果的数量（一）得出的。理解这样的基本概率为更复杂的统计分析奠定了基础。在现实世界的应用中，统计概率（statistical probability）变得更加重要。例如，企业通常依赖统计模型来预测销售和市场趋势。通过分析过去的销售数据，公司可以估计未来的表现，并相应做出战略决策。这种对统计概率（statistical probability）的依赖使企业能够有效分配资源，最小化与不确定性相关的风险。此外，医学领域在临床试验和流行病学研究中也大量利用统计概率（statistical probability）。研究人员通过比较治疗组和对照组的结果来评估新治疗的有效性。成功或失败的统计概率（statistical probability）被计算出来，以确定新药是否有效。这种分析对于确保医疗干预对患者安全且有益至关重要。除了在商业和医学中的应用外，统计概率（statistical probability）还影响着日常生活。人们在做决定时，往往会自觉或不自觉地使用它。例如，当根据天气预报选择是否要带伞时，个人正在利用统计概率（statistical probability）来权衡淋湿的机会和携带伞的不便。这一决策过程说明了统计概率（statistical probability）在我们日常生活中的深刻影响。然而，必须认识到，统计概率（statistical probability）并非万无一失。它基于过去的数据和假设，这些假设在未来可能并不总是成立。例如，如果硬币连续十次翻转都落在正面，那么它再次落在正面的统计概率（statistical probability）仍然是50%。这种现象被称为赌徒谬误，突显了过去事件对独立试验未来概率的影响的误解。总之，统计概率（statistical probability）是一个强大的工具，帮助我们理解和应对生活中的不确定性。通过分析数据和识别模式，个人和组织可以做出更明智的决策。无论是在商业、医学还是日常选择中，统计概率（statistical probability）的应用都是广泛而宝贵的。随着我们在日益复杂的世界中继续收集和分析数据，掌握统计概率（statistical probability）这一概念将变得愈发关键，以便进行有效的决策和问题解决。