binominal
发音：/?ba?n?ma?n?l/
英语范文：
I like playing basketball, but I'm not very good at it. I've tried playing with other people before, but I always end up getting embarrassed because I keep missing shots. However, I've been trying to improve my skills by practicing regularly with my friends. We play games of 1-on-1 or 2-on-2, and it's a great way to have fun and improve my coordination.
I also like to try new foods when I travel, but I'm not very adventurous when it comes to trying new types of food. I've always been a bit scared of trying something that might not taste good or might make me sick. However, I've learned to be more open-minded and try new things. Now, I'm more willing to try new dishes and flavors that are different from what I'm used to.
binominal的英语作文音标和基础释义：
binominal是一个英语单词，意思是二项式。在数学中，二项式是一个由二项式系数组成的数学模型。这个模型描述了当一个随机事件（如抛硬币）发生时，成功和失败的概率之间的关系。这个模型在统计学、概率论和计算机科学等领域都有广泛的应用。
以上内容仅供参考，建议到英语原声网站获取更精准的释义。
binominal
释义：
n. 二项式；二项分布；二项数；二项式定理
发音：
/ba??n?m?n?l/
英语范文：
标题：二项式定理的应用
在数学中，二项式定理是一种非常重要的定理，它描述了两个独立的、独立的随机事件同时发生的概率。这个定理在许多领域都有应用，包括统计学、计算机科学、金融学等。
在统计学中，二项式定理可以帮助我们理解概率抽样。当我们进行大规模的随机抽样时，样本的大小和抽样的次数都会影响我们得到的结果。通过使用二项式定理，我们可以更准确地估计样本的分布和偏差。
在计算机科学中，二项式定理也很有用。当我们需要考虑大量的可能性时，二项式定理可以帮助我们更有效地处理问题。例如，在算法设计中，我们可能需要考虑大量的输入数据，这时使用二项式定理可以大大提高算法的效率。
在金融学中，二项式定理也被广泛应用。当我们考虑投资组合的风险和回报时，二项式定理可以帮助我们更准确地估计投资组合的表现。此外，在定价模型中，二项式定理也被用来计算金融产品的价格。
总的来说，二项式定理是一个非常有用的工具，它可以帮助我们更准确地理解和处理大量的可能性。通过使用这个工具，我们可以更有效地解决问题，提高效率，更好地管理风险。
binominal
发音: [b??nɑ?m?n?l]
例句：The binomial distribution is a mathematical tool that is used to model the probability of a single event occurring within a set of possibilities.
翻译：二项分布是一种数学工具，用于对在一定可能性内发生单一事件的概率进行建模。
以下是一篇关于二项分布的英语作文，供您参考：
Title: Binomial Distribution
The binomial distribution is a fundamental statistical tool that helps us understand the probability of a single event occurring within a set of possibilities. It is particularly useful in modeling the outcomes of experiments and random events, such as the flipping of a fair coin or the drawing of a number from a bag of random elements.
The basic concept behind the binomial distribution is the idea of repetition. We consider a process of repeated trials, each with an equal chance of success or failure, and calculate the probability of success on each trial. By summing up the probabilities for each individual trial, we can arrive at the overall probability of the event occurring as a whole.
In practice, the binomial distribution is most commonly used in fields such as statistics, engineering, and economics, where it helps us to make informed decisions about the likelihood of various outcomes. For example, in the field of marketing, we might use the binomial distribution to estimate the probability of a product gaining market acceptance, given certain factors such as its features and pricing.
In conclusion, the binomial distribution is a powerful tool that helps us understand the probability of single events occurring within a set of possibilities. It is a fundamental statistical tool that is used in many different contexts, from experimental design to market research. Understanding and using the binomial distribution can help us make better decisions and achieve better outcomes in our work and lives.
