古典概型

概率论中常见古典概型错题辨析

Analysis on Common Problems of Classical Probability Type in Probability Theory

求解古典概型中配对问题的概率

Solution for Probability of Pairing Problem in Classical Probability Model

在古典概型问题中引入了n次随机试验，n维样本点，n维随机事件和n维样本空间等概念，对解决古典概型的应用问题提供了相应的数学模型。

This thesis introduces some concepts as N random test , N-dimensional samples , N-dimensional random events , and N-dimensional space samples into the classical probability type 's problem .

在古典概型和概率空间（Ω，F，P）[1]上，讨论随机事件相互独立的充要条件。

On the basis of classic probability model and probability space (Ω, F , P ), this thesis discusses the sufficient and necessary condition of independence about random events .

利用古典概型概率计算方法，证明概率空间（Ω，F，P）恰有n个相互独立的随机事件的充要条件是样本空间Ω的样本点个数可以分解成n个素数的乘积。

We have proved that probability space (Ω, F , P ) just has n independent random events only if the element number in sample space Ω may be resolved into the product of n prime numbers , by means of probability calculate method of classic probability model .

“分球”问题是一种重要的古典概型。

The dividing balls is an important classical model of probability .

古典概型的概率计算方法与应用

Classical and general probability computing technology is with using giving an example

古典概型中摸球模型的解法探讨

Exploration of the solution of fetching-ball model in the classical probability field

古典概型在排列组合恒等式证明中的应用

Application of Classic Probability Model in Proving Permutation and Combination Identical Relation

古典概型中随机事件相互独立的充要条件

Sufficient and Necessary Condition of Independence About Random Events in Classic Probability Model

高职院校古典概型的教学方法浅谈

On teaching methods of classical subscheme in vocational academies

古典概型解题注记

Notes to the solution in classic outlining pattern

古典概型的极大独立事件组

The Maximum Independent Events in Classical Probability Spaces

谈谈古典概型的教学

Talk about the Teaching of Classical Probability Model

注重古典概型计算发展学生思维品质

Paying Attention to the Calculating of Classic Probability and Developing Students ' Thinking Quality

概率论中古典概型教学的探讨

Discussions of Classical Probabilistic Pedagogics in Probability Theory

本文给出了古典概型中极大独立事件组的判定准则。

In this paper we give a criterion for judging maximun independent events in classical probability spaces .

本文用古典概型方法给出了一个离散型随机向量的分布.本文方法可用于物理学、化学，还可用于计算机和饭店管理等领域中。

In this paper , the distribution of a discrete type of random vector is gived by means of the model of classical probability .

在高中概率学习中，学生对概率的频率定义与古典概型的理解存在明显的欠缺。

In the teaching of Probability in senior high school lie obvious inadequacies in students ' comprehension of Probability definition for Frequency and Equiprobability models .

本文在离散型情况下，讨论了发生函数在求解古典概型和进行矩量计算方法的一些应用。

In this paper About the discrete class , We discuss the applications of the generating function method in the classical theory of probability and moments .

构造一个摸球模型，用古典概型事件概率计算方法，探求了一个证明组合公式的新方法

This article tries to seek a new method to prove combination formula by the pattern of cleaving balls from the Pack and by the calculation of classical probability

文章以古典概型中“配对”问题的概率为例，采用一题多解的形式，给出了基本事件数的计算公式。

With pairing problems in classical probability as the example and through the forms of several solutions to one problem , the calculating formulas for basic events are presented .

本文探讨在古典概型的教学过程中，如何培养学生的应用能力，从而有助于高职院校培养应用型人才。

This paper discusses how students should be trained in their application abilities in the process of teaching and learning in classical subscheme , so as to bring benefits to the training of applied manpower .

通过对古典概型中摸球模型的探讨，提供了一些有用的解题思路和方法，并试图以明确的公式形式表达特定问题的解。

In this paper , some useful ideas and methods for solving the classical probability problems are presented by exploring the ball-fetched model , and then certain formulae are provided for expressing the solution of a special question .

由于概率的研究对象是不确定现象，与中学数学中传统的教学内容有着很大的不同，所以学生在概率学习中，对概率的频率定义和古典概型的理解存在明显的欠缺。

Since the object of probability study is uncertain phenomena , and there is much difference with the traditional teaching contents in middle school , therefore the student there exists obvious shortcoming in the definition of probability frequency and the understanding of classical probability .