概率统计

  • 格式:doc
  • 大小:461.43 KB
  • 文档页数:16

目录 内容摘要 ···································································································································· 1 关 键 词 ···································································································································· 1 1. 概率统计的重要性················································································································· 2 2. 概率统计在实际生活中的应用 ····························································································· 2 2.1古典概率的应用................................................................................................................. 2 2.2 概率统计在排队问题中的应用 ........................................................................................ 5 2.3 伯努利模型在生日问题中的应用 .................................................................................... 6 2.4 均值、方差和标准差 ........................................................................................................ 7 2.5 中心极限定理在保险赔偿问题中的应用 ........................................................................ 8 2.6 假设检验问题.................................................................................................................. 10 3.小概率事件的认识 ..................................................................................................................... 12 3.1小概率原理在工业生产中的应用 ................................................................................... 13 4.总结 ······································································································································· 14 参考文献 ·································································································································· 15 致 谢 ······································································································· 错误!未定义书签。 1

内容摘要: 随着科学技术的迅速发展与计算机的普及运用, 概率统计的思想方法在自然科学社会科学以及经济学等许多领域中已经有着广泛的应用,它是指导人们从事物表象看到其本质的一门科学。本文试从古典概率,中心极限定理,排队论, 贝努利模型等几方面的典型例子探讨分析概率统计知识在实际生活中的广泛应用,进一步揭示概率统计与实际生活的密切联系,为应用概率知识解决实际问题,数学模型的建立,学科知识的迁移奠定一定的理论基础。 关 键 词:概率统计思想 古典概型 中心极限定理 贝努利模型 Abstract: With the rapid development of technology and popularization application of computer science, the thinking method of probability statistics have been widely applied in many fields of natural science and social science and economics, which is a science to guide people to see the essence of things from the appearance . This article tried to study the widely application of probability and statistics by some typical example from the classical probability, the central limit theorem, queuing problem etc. It revealed the close relationship between probability and statistics and the actual life, at the same time it established theoretical basis for solving practical problems by using probability theory, establishing mathematical models, transferring knowledge. Keywords:The idea of probability statistics The classical probability model Central limit theorem Bernoulli model 2

1. 概率统计的重要性 概率论研究随机现象的统计规律性,数理统计研究样本数据的搜集、整理、分析和推断的各种方法,这其中又包含两方面的内容:试验设计与统计推断。 概率论是一门相当有趣的数学分支学科,随着科学技术的发展与计算机的普及,它已广泛地应用于各行各业,成为研究自然科学、社会现象、处理工程和公共事业的有力工具。正如英国逻辑学家和经济学家杰文斯(Jevons, 1835-1882)所说:概率论是“生活真正的领路人,如果没有对概率的某种估计,我们就寸步难行,无所作为”。在日常生活中,概率论的应用更是普遍,几乎无处不在,如年度预算、竞选活动、预测销售量、解释自然规律、掷骨子、玩扑克牌等。 本文将归纳生活中常见的概率问题,从“街头摸彩问题”、“排队问题”、“假设检验问题”、“保险赔偿问题”、“生日问题”、“遗传病概率”、“小概率事件问题”这几个例子探讨分析概率统计在实际生活中的应用,从而探究概率统计的巨大作用。

2. 概率统计在实际生活中的应用 2.1古典概率的应用 古典型试验的定义: 定义1:等可能试验: 若试验的结果为有限n个且每个结果出现的可能性是相同的, 即

njinPPjj,,2,1,

1

 , 则称此试验为古典型随机试验。

古典概率是概率里最早的一种在简单的概率模型,也是应用最广泛的概率。许多实际问题都可以将其转化为古典概率问题加以解决。 2.1.1古典概率在商品经济中的应用 现在社会是一个商品经济社会,有的商家为了牟取暴利竟大作虚假广告,这需要消费者有一双雪亮的眼睛,通过实地抽查,利用概率知识来科学判断商品的质量。 例1 李老师在水果批发市场上打算买几箱苹果,他询问卖主所售苹果的质量如何,卖主说一箱里(假设为 l00 个)顶多有四、五个坏的。李老师随后挑 3

了一箱,打开后随机抽取了10 个苹果,心想这 10 个中有不多于 2 个坏的就买,可他发现10 个苹果中有 3 个是坏的。于是李老师对卖主说,你的一箱苹果里不止有 5 个坏的。卖主反驳说,我的话并没有错,也许这一箱苹果中就这 3 个坏的,让你碰巧看见了。李老师的指责有道理吗? 解析:假设一箱里有 100 个苹果,其中有 5 个坏的。我们知道所抽取的 10 个中坏苹果数等于 3 的概率为:

00625.0310100310510035cccXP

同理可以得到: 00038.04XP

000003.05XP

根据古典概率的定义,抽取 10 个中坏苹果数大于 2 的概率为: 006633.05432XPXPXPXP 这表明,一次抽取 10 个,发现多于 2 个坏的概率很小,几乎是不可能的,现在居然发生了,这说明李老师的指责是有道理的。 2.1.2古典概率在街头摸彩中的应用 赌,社会一大毒瘤,利用我们所学的概率只是揭示赌博的欺诈性,帮助更多的人们认清赌博的罪恶本质。 例2 某公园门口有一街头赌摊:一个摆地摊的赌主,他拿了8个白的、8个黑的围棋子放在一个签袋里。他规定:凡自愿摸彩者需交1元钱的“手续费”,然后一次从袋中摸出5个棋子,摸到5个白子奖20元,摸到4个白子奖2元,摸到3个白子奖价值5角的纪念品,摸到其他无奖。由于本钱较小,许多围观者都跃跃欲试,有的竟连摸数十次,结果许多人“乘兴而摸,败兴而归”,获奖者寥寥无几。 解析:其实要知道为什么?就要用到概率的知识了。我们不妨逐一计算顾客中奖的可能性。 从16个棋子中摸出5个棋子共有516C种可能情形: