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(完整版)统计学公式大全

(完整版)统计学公式大全

(完整版)统计学公式大全统计学公式大全本文档旨在提供统计学领域常用的公式大全,便于大家在研究和实践中进行参考和应用。

描述统计学公式中心趋势度量1. 平均数(Mean):$\bar{x} =\frac{{\sum_{i=1}^{n}x_i}}{n}$2. 中位数(Median):若数据个数为奇数,中位数为排序后的中间值;若数据个数为偶数,中位数为排序后的中间两个值的平均值。

3. 众数(Mode):出现频率最高的数值。

离散趋势度量1. 方差(Variance):$Var(x) = \frac{{\sum_{i=1}^{n}(x_i - \bar{x})^2}}{n}$2. 标准差(Standard Deviation):$SD(x) = \sqrt{Var(x)}$3. 极差(Range):$Range(x) = \max(x) - \min(x)$分布形状度量1. 偏度(Skewness):$\text{Skewness} =\frac{{\sum_{i=1}^{n}(x_i - \bar{x})^3}}{n \cdot SD(x)^3}$2. 峰度(Kurtosis):$\text{Kurtosis} =\frac{{\sum_{i=1}^{n}(x_i - \bar{x})^4}}{n \cdot SD(x)^4}$ 推断统计学公式参数估计1. 样本均值的抽样分布标准差(Standard Error of the Mean):$SE(\bar{x}) = \frac{{SD(x)}}{\sqrt{n}}$2. 双侧置信区间公式(Confidence Interval):$\bar{x} \pm Z\cdot SE(\bar{x})$3. 样本比例的抽样分布标准差(Standard Error of Proportion):$SE(p) = \sqrt{\frac{{p(1-p)}}{n}}$4. 双侧置信区间公式(Confidence Interval):$p \pm Z \cdotSE(p)$假设检验1. 样本均值和总体均值的差异(t检验):$t = \frac{{\bar{x} -\mu}}{{SE(\bar{x})}}$2. 双侧拒绝域临界值(t分布):$t_{\text{critical}} = \pmt_{\alpha/2, df}$3. 样本比例和总体比例的差异(z检验):$z = \frac{{\hat{p} - p}}{{SE(p)}}$4. 双侧拒绝域临界值(z分布):$z_{\text{critical}} = \pmz_{\alpha/2}$回归分析公式简单线性回归模型1. 回归方程(Simple Linear Regression):$y = \beta_0 +\beta_1x + \epsilon$2. 线性预测公式(Simple Linear Regression):$\hat{y} =\hat{\beta}_0 + \hat{\beta}_1x$3. 斯皮尔曼秩相关系数(Spearman's Rank Correlation Coefficient):$r_s = 1 - \frac{6\sum d_i^2}{n(n^2 - 1)}$4. 相关系数的显著性检验(t检验):$t = \frac{r}{\sqrt{\frac{1 - r^2}{n-2}}}$结论本文档列举了统计学领域常用的公式,包括描述统计学中的中心趋势度量、离散趋势度量和分布形状度量,推断统计学中的参数估计和假设检验,以及回归分析中的简单线性回归模型等相关公式。

(完整版)统计学基础教案

(完整版)统计学基础教案

推断性统计
推断性统计是通过样本数据对总体进行推 断的方法,包括参数估计和假设检验等。
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数据分析
数据分析是运用各种统计方法对数据进行分 析和挖掘的过程,以发现数据中的规律和趋 势。
统计模型
统计模型是用来描述数据生成机制和变量间 关系的数学模型,如回归模型、时间序列模 型等。
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描述统计学
数据收集与整理
得数据分析更加直观和易于理解。
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Python
Python是一种流行的编程语言,也常被用于数据分析和数据挖掘任务
。它拥有强大的数据处理和统计分析库(如pandas、numpy、scikit-
learn等),支持各种复杂的数据分析和建模任务。
统计软件与数据分析工具的比较与选择
• 功能比较:不同的统计软件和数据分析工具具有不同的功能特点和适用范围。例如,SPSS和更适合自定义分析和高级数据处理。
04 统计方法在各个领域的应用
经济学领域的应用
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02
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宏观经济统计
通过收集和分析国民经济 核算数据,揭示经济总体 规模、结构和运行状况。
产业经济统计
研究各产业部门的经济活 动及其相互关系,为产业 政策制定提供依据。
微观经济统计
关注企业、家庭等微观经 济主体的行为,分析市场 供求、价格变动等因素。
(完整版)统计学基础 教案
目录
• 统计学概述 • 描述统计学 • 推断统计学 • 统计方法在各个领域的应用
目录
• 统计软件与数据分析工具介绍 • 统计学前沿研究与发展趋势
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统计学概述
统计学的定义与作用
统计学的定义
统计学是一门研究如何收集、整理、 分析、解释和呈现数据的科学。

统计学原理完整版

统计学原理完整版
统计学原理
课件制作:邓 力 漫画绘制:晓 天 电子邮箱:d330@
目录
第1章 第2章 第3章 第4章 第5章 什么是统计学 第6章 动态分析:动态三数 数据从哪里来 第7章 动态预测:因素分析 数据怎么整理 第8章 综合预测:相关分析 静态分析:静态三数 第9章 数据文章的写法 静态预测:抽样估计
来源:Excel之家
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***休息***
第5章
静态预测:抽样估计
目标
什么是抽样估计:定义
特点 抽样估计的形式:框架 实例 抽样估计的方法:定义 实例 抽样估计的运用:1 2 3 视频点播
返回目录
漫画5 玩牌乐
5-1
一、什么是抽样估计:定义
抽样估计——是指在遵循随机原则的条件 下,用样本值估计总体值的一种非全面调 查方法。即先抽取样本,再进行估计。
说明: 上有老:标题; 下有小:数据来源、作图者姓名; 左 依:计量单位; 右 傍:图例; 中间区域:统计图。
环境保护投资额
环境保护投资额的增长倍数 增长(倍) 2.53 54000 3.00 2.50
1.87
1.74
1.76 1.13 15300 7200
2.00 1.50 1.00 0.50 0.00
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六、整理数据的作图:视频
PDF:统计图的制作 视频:图表与图形入门
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七、整理数据的运用2: Excel作图
例如: “两轴线—柱图”的制 作
中国“六五”~“十二五”期间环境保护投资额的增长
投资额(亿元) 60000 50000 40000 30000 1.00 20000 10000 476.42 0

统计学简答题完整版

统计学简答题完整版

统计学简答题完整版一、统计的含义与本质就是什么?P2含义:“统计”一词可以有三种含义:统计活动、统计数据与统计学。

统计活动就是对各种统计数据进行搜集、整理并做出相应的推断、分析的活动,通常被划分为统计调查、统计整理与统计分析三个阶段;统计数据就是通过统计活动获得的、用以表现研究现象特征的各种形式的数据;统计学则就是指导统计活动的理论与方法,就是关于如何搜集、整理与分析统计数据的科学。

本质:统计的本质就就是关于为何统计,统计什么与如何统计的思想。

二、统计数据有哪些分类?不同类型数据有什么不同特点?P71.统计数据按照所采用的计量尺度不同,可以分为定性数据与定量数据。

定性数据就是指只能用文字或数字代码来表现事物的品质特征或属性特征的数据,具体又分为定类数据与定序数据两种。

定量数据就是指用数值来表现事物数量特征的数据,具体又分为定距数据与定比数据两种。

2.统计数据按照其表现形式不同,可以分为绝对数、相对数与平均数。

绝对数就是用以反映现象或事物绝对数量特征的数据,有明确的计量单位。

相对数就是用以反映现象或事物相对数量特征的数据,它通过另外两个相关统计数据的对比来体现联系关系。

平均数就是用以反映现象或事物平均数量特征的数据,体现现象某一方面的一般数量水平。

3.统计数据按照其来源不同,可以分为观测数据与实验数据两类。

观测数据就是通过统计调查或观测的方式而获取的反映研究现象客观存在的数量特征的数据。

实验数据就是在人为控制的条件下,通过实验的方式而获得的关于实验对象的数据。

4.统计数据按照其加工程度不同,可以分为原始数据与次级数据两类。

原始数据就是指直接向调查对象搜集的、尚待加工整理、只反映个体特征的数据。

次级数据也称为加工数据或二手数据,就是指已经经过加工整理、能反映总体数量特征的各种非原始数据。

5.统计数据按照其时间或空间状态不同,可以分为时序数据与截面数据。

时序数据就是对同一现象在不同时间上搜集到的数据(即空间状态相同,时间状态不同)。

统计学完整ppt课件完整版

统计学完整ppt课件完整版
假设检验的基本思想:小概率事件原 理
假设检验中的两类错误:第一类错误 、第二类错误
假设检验的步骤:建立假设、选择检 验统计量、确定拒绝域、计算p值、 作出决策
假设检验的实例分析:单样本t检验 、双样本t检验等
方差分析(ANOVA)方法介绍
方差分析的基本原理:F分布与 方差分析的关系
多因素方差分析的实现方法: 析因设计、随机区组设计等
通过观察数据的峰度,判 断是否存在尖峰或平峰分 布
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推论性统计方法
参数估计原理及应用
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参数估计的基本概念: 点估计、区间估计
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估计量的评价标准:无 偏性、有效性、一致性
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参数估计的方法:矩估 计法、最大似然估计法
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参数估计的应用:总体 均值的区间估计、总体 比例的区间估计等
假设检验流程与实例分析
ABCD
数据筛选与排序
介绍如何使用Excel进行数据筛选和排序,以便 更好地查看和分析数据。
函数与公式应用
分享一些常用的Excel函数和公式,以便更高效 地处理和分析数据。
案例分享:使用统计软件解决实际问题
案例一
使用SPSS进行市场调研数据分析,包 括描述性统计、交叉表分析、回归分析
等。
案例三
使用Python进行电商数据分析,包 括用户行为分析、销售预测、推荐系
据的科学。
统计学的作用
描述数据特征
推断总体参数 预测未来趋势
评估决策效果
数据类型与来源
数据类型 定量数据(连续型与离散型)
定性数据(分类数据与顺序数据)
数据类型与来源
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数据来源
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03
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观察数据(实验数据与观测数 据)

统计学教案全套完整版

统计学教案全套完整版

抽样分布原理及应用
抽样分布的概念及
种类
介绍抽样分布的定义、种类及其 特点,包括正态分布、t分布、F 分布和卡方分布等。
中心极限定理及应

阐述中心极限定理的原理及在统 计学中的应用,解释为何在样本 量足够大的情况下,样本均值的 分布近似于正态分布。
抽样误差与置信区

讲解抽样误差的概念、计算方法 及其在置信区间构建中的应用, 介绍如何利用抽样分布原理确定 参数的置信区间。
卡方检验
介绍卡方检验的原理、适用条件及计算步骤,包括拟合优度检验和独 立性检验两种方法,举例说明如何应用该方法进行假设检验。
CHAPTER 04
方差分析与回归分析应用
方差分析原理及步骤
01
方差分析的基本原 理
通过比较不同组别间的方差来推 断总体均数是否有差别的一种统 计方法。
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方差分析的步骤
建立假设、确定检验水准、计算 检验统计量、确定P值并作出推 断结论。
集中趋势度量:均值、中位数、众数
均值
所有数据的和除以数据个数,反映数据的平均 水平。
中位数
将数据按大小顺序排列,位于中间位置的数值 ,反映数据的中心趋势。
众数
出现次数最多的数据值,反映数据的集中情况。
离散程度度量:方差、标准差、极差
1 2
方差
各数据与均值之差的平方的平均数,反映数据的 离散程度。
常见假设检验方法介绍
单样本t检验
介绍单样本t检验的原理、适用条件及计算步骤,举例说明如何应用 该方法进行假设检验。
双样本t检验
阐述双样本t检验的原理、适用条件及计算步骤,包括独立双样本t检 验和配对样本t检验两种方法,举例说明应用场景。

完整版)统计学名词解释

完整版)统计学名词解释

完整版)统计学名词解释统计学名词解释第一章绪论在统计学上,随机变量指的是取值之间不能预料到的变量。

总体,又称母全体或全域,是指具有某种特征的一类事物的全体。

构成总体的每个基本单元称为个体。

从总体中抽取的一部分个体称为样本。

次数指的是某一事件在某一类别中出现的数目,又称为频数。

频率,又称相对次数,指某一事件发生的次数被总的事件数目除,即某一数据出现的次数被这一组数据总个数去除。

概率指某一事物或某一情在某一总体中出现的比率。

一旦确定了某个值,就称这个值为某一变量的观测值。

参数,又称为总体参数,是描述一个总体情况的统计指标。

样本的那些特征值叫做统计量,又称特征值。

第二章统计图表统计表是由纵横交叉的线条绘制,并将数据按照一定的要求整理、归类、排列、填写在内的一种表格形式。

一般由表号、名称、标目、数字、表注组成。

统计图一般采用直角坐标系,通常横轴表示事物的组别或自变量x,称为分类轴。

纵轴表示事物出现的次数或因变量,称为数值轴。

一般由图号及图题、图目、图尺、图形、图例、图组成。

简单次数分布表适合数据个数和分布范围比较小的时候用,它是依据每一个分数值在一列数据中出现的次数或总计数资料编制成的统计表。

而分组次数分布表适合数据个数和分布范围比较大的时候用。

数据量很大时,应该把所有的数据先划分在若干区间,然后将数据按其数值大小划归到相应区域的组别内,分别统计各个组别中包括的数据个数,再用列表的形式呈现出来。

分组次数分布表的编制步骤包括求全距、定组距和组数、列出分组组距、登记次数和计算次数。

相对次数分布表用频数比率或百分数来表示次数,而累加次数分布表则把各组的次数由下而上或由上而下加在一起。

最后一组的累加次数等于总次数。

双列次数分布表用同一个表表示有联系的两列变量的次数分布。

而不等距次数分布表则适用于像工资级别和年龄分组这样的不等距数据。

需要注意的是,归组效应是分组次数分布表的缺点之一,因为原始数据不见了,从而依据这样的统计表算出的平均值会与用原始数据算出的值有出入,出现误差。

《统计学》教案完整版doc(2024)

《统计学》教案完整版doc(2024)

移动平均法
通过计算一定时期内的移动平均 值来消除季节变动和不规则变动 的影响,从而揭示时间序列的长
期趋势。
指数平滑法
根据时间序列的近期数据对未来 进行预测,通过加权平均的方式 对历史数据进行处理,使得近期 的数据对预测结果具有更大的影
响。
线性回归法
通过建立因变量与自变量之间的 线性关系模型,利用最小二乘法 求解模型参数,从而实现对时间
软件安装与启动
介绍SPSS软件的安装步骤和启动方法,以及软件界面的基本组成。
2024/1/26
数据文件建立与管理
讲解如何在SPSS中建立数据文件,输入和编辑数据,以及数据文件的保存和管理。
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描述性统计、推论性统计在SPSS中实现
描述性统计
介绍如何使用SPSS进行描述性统 计分析,包括频数分布、集中趋 势、离散程度等指标的计算和解
拒绝原假设的决策。
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05 回归分析预测技 术探讨
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一元线性回归分析
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一元线性回归模型的定 义与假设
最小二乘法原理及其在 一元线性回归中的应用
回归系数的估计与解释
模型的检验与评估:拟 合优度、显著性检验等
2024/1/26
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多元线性回归分析
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多元线性回归模型的定义与假 设
计算检验统计量的值
利用样本数据计算出检验统计量的值。
作出决策
将计算得到的检验统计量的值与拒绝域进行比较,作出 是否拒绝原假设的决策。
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方差分析应用
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方差分析的概念
方差分析是一种用于研究不同因素对总体均值是否有显著 影响的统计方法。
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Statistics ReportGROUP MEMBERS: Shao Xiayu(SCN 20085878339 )Yang Zheng(SCN 20085878040 )Liang Han(SCN 20085878018 )Liang Zhanning(SCN 20085878087 )Zhang Yajie(SCN 20085878335 )Zhou Weifeng(SCN 20085878271 )TO: Su NanClass: International TradeDate: May 23. 2010Letter of transmittalThe report is written for HSBC‟s Research Headquarters. The report has finished at May 20, 2010. and finished with team work.Executive summaryThe report‟s structures are descriptive analysis, inferential analysis and decision making analysis. The methods are used in the case are probability distribution and quantitative approach. Through analysis the bank RBCC, bankers accepted the personal loan never considering Gender. Bankers prefer to lend them money because their family and income more stable. People whose ages between 30 to 50 also lend more money from RBCC. If the family has more children they will have more debt. In RBCC there are 15.3% customers go into default. RBCC collect the default debt by approach the customers the right way which falls behind on payments. When HSBC manage its subsidiaries they should control the subsidiaries‟managers. And fully control their shares.ContentsExecutive summary (2)Introduction (4)List of table (5)Assumptions (5)Task 1. Theoretical Statistics (6)Question one: (6)Question two: (6)Question three: (7)Question four: (7)Question five: (10)Question six: (11)Task 2: Application Statistics (12)Question one (12)Question two (14)Question three (16)Task three: Business Decision Making (17)Question 1. (17)Question 2. (18)Question 3. (19)Question 4.. (20)Question 5. (22)Question 6. (23)Question 7. (24)Conclusion (25)Recommendation (25)Reference list (25)Distribution the assignment (26)Meeting Schedule (26)IntroductionThis report is consists of three parts, theoretical statistics, application statistics, and business decision making. In theoretical statistics, it main to explain the basics knowledge of statistics, such as primary information, second information and method of data collection and so on. It has six questions. In application statistics. It main to explain the bell distribution of statistics. In business decision making. It main to deal with default debt, the follows is our report.List of tableAssumptions●all given information are true and correct●assumptions are binominal distribution●the confidence level is 95% through the whole report●the average service fee is 13.8 per month in each bank●Different lenders has different loan coefficient and the given different interest ratesTask 1. Theoretical StatisticsQuestion one: Distinguish primary sources and secondary sources?Primary informationPrimary information is that collected from our experienced and we sort out from files. Primary information has stronger confidential. First-hand information refer to: literature and cultural information. Primary information on the holders of the data and firstly contact with that information, but also has a high degree of confidentiality.Primary information with the empirical, and the advantages is lively and readable.In case study, the conversation of Juli Beck, Andy Beck, and Dan beck is Primary information.secondary dataSecondary data is that already exists somewhere and has been for a purpose or what happened up the data editor. secondary sources (secondary data)refer to other purpose that others had previously collected, rather than the researchers on hand to collect information on their research。

In case study, the summary of HSBC‟s History and foundation and growth are the secondary data.Question two: Describe and justify the survey methodology used for data collection related to the caseThere are many methods of data collection. Such as, observation, survey, questionnaire, search in the online, face to face investigation. In the case, we can find it has search in the online and investigation by face to face.The current management team, led by Julia, Daniel, and Andrew Beck (the president, CFO, and COO, respectively) has engaged your consulting team to analyze data from1,000 recent loans and make recommendations. This is primary information.This HSBC case has been clear up by somebody. So it can be defined second information.From the case, we can find it has used group research and phone interviewQuestion three: If ask you designed the questionnarie for colleting the data, what types of question you will use ? consider the charecterists of different types of question for data analysis.In the case, open questions are more than closed questions. Open questions can make more kinds of answer about one question. People‟s thought can be opened, Understand everyone idea about it. We also can compare them then choose the best answer. On the other hand, it may make some answers which are unable. it is difficult to statistic data, what‟s more, we need more time to statistic data, people have same question that we can not find common ideas.Question four: Using the different variables for RBCC, you will be required to present the a set of data which are in Excel file rbcc.xls by appropiate charts or diagrams ? (at least three charts or diagrams)a.Pareto chart of Marital Status of HSBCMaritalStatus Number PercentageSingle 288 28.80%Married 562 56.20%Divorced 89 8.90%Widow 61 6.10%Total 1000 100%Look at the chart, we can find married easiest to credit from HSBC, about 56% loaners are married. And single easier take out a loan than divorced and widow. It was indicating that the HSBC has chosen to loan to who has complete family, which emphasis on stability.b. Pie chart of children of loanerchildren people percentage0 414 42%1 199 20%2 158 16%3 115 11%4 60 6%5 40 4%6 15 1%Look at the chart, we can found the loaners of no children easiest to take out a loan from HSBC, while the loaners of a child and the loaners of two children not easy to loan from HSBC. The chart was indicating that the children of more and more difficult access to loan. If family has some children, it would has some press in family, so bank don‟t like loan to the people like that.c. The bar chart of genderGender totalfemale 496male504Look at the bar chart, we can find the no impact of gender on loans.Question five: Using “income” as the key variable for RBCC, calculates the mean, median, mode, quartile, and measure of dispersion of data.We calculate the mean is $49,481, and the median is $49518, the mode is 65311.we can get some information from that, such as they level of income and the capacity of purchasing. Skew, Because of the mean<median, so it belonged to theleft-skewAnd the max is $89489, the mix is $9118. Then we can get the range is 80371.So it can tell us that their income is not equality, so the company will face the risk.We can calculate the standard deviation, because of their means is $49,418, the standard deviation is 18586.34, Because of different marital status has different mean, so we compare single and divorced, CV(single)=0.19, CV(divorced)=0.08.CV (divorced) < CV (single). So we can get the conclusion that because of the dataof income, it has not z-score, so the bank can get more profit. Through the analysisthe data, we find the kurtosis is -1.02219063; it can represent the mild of their incomeThrough the calculating and analysis, we assumption x=divorced and y=widowed that they have 48, so we can get the result R=0.08, it was not nearly 1, it has not connect.Question six: Using the appropriate set of data, you will be required to create the histogram?接收频率累积%5000 0 0.00%10000 2 0.20%15000 13 1.50%20000 33 4.80%25000 60 10.80%30000 69 17.70%35000 88 26.50%40000 83 34.80%45000 87 43.50%50000 73 50.80%55000 78 58.60%60000 81 66.70%65000 81 74.80%70000 87 83.50%75000 73 90.80%80000 50 95.80%85000 36 99.40%90000 6 100.00%其他0 100.00%From the chart we can find the people which income about $45000 is easier to take out a loan from HSBC. Through analysis the chart the people which income between 35000 to 75000 is main loaner to loan from HSBC and other income not easier to loan from HSBC.The bank cans choice to loan to people which between 35000 to 75000, because of it easy to take back.Task 2: Application StatisticsQuestion oneDue to economic going to down from 2008, the commercial bank has been decline for a period. In an attempt by commercial banks to raise revenue, many banks increase the service charge, typically between $10 to $20. According to commission of banks, about 90% of commercial banks charge the customer fees when applying for the loan or opening accounts.a.You select a random sample of 5 commercial banks in China. Assume the numberof the 5 commercial bank charging service feels distributed as binomial random distribution. What are the mean and standard deviation of the distributionb. compute the probability that of the 5 banks:1. exactly one bank charges service fee2. two or fewer banks charge service fee3. three or more banks charge service feeAnswer: a. From the question, we can find sample size is 5, and probability of success is 0.9,mean=5*probability, the standard deviation=)1(**5p p . So we can get the mean is 4.5, the variance is 0.45,and the standard deviation is about 0.67.b:The result is:binomial probabilities table xp(x)0 1E-05 1 0.00045 2 0.0081 3 0.0729 4 0.32805 5 0.59049It has a bank to receive the services fee that's probability is 0.00045, from this we can find has increased the cost of management, it may be reduce its competitiveness, it would lose the advantage of competitive.If there are two or fewer banks charge service fee, their probability is 0.0081, because of their probability is very small, if they want to improve their services fee, they need to build better services for customers or other advantages to different to other banks.When there are three or more banks charge service fee, lots of consumers can accept this fact, their probability is 0.073, the consumer would pay the services fee to bank, and the government can agree this term.Banks charge service fees, and it has two different ways, receive or not receive,moreover, these two cases are mutually exclusive events, and the sum probability of two cases is 1. Besides, the binomial distribution is belonged to multiple. So it conform all the standards about Bernoulli experimentsQuestion twoHSBC‟ share in Hong Seng Index , the number of shares traded daily on the Hong Kong Stock Exchange is freferred to as the volume of trading. On July 30, 2009, 1.39 billion shares of stock were traded. Theis volume to trading is near the mean volume for the Hong Seng Index. Assume that the number of share traded on Hong Seng Index is noraml random distribution with mean 1.4 billion and a standard deviation of 0.15 billion. For a randomly selected day, what is the probability that the volume of trading on the Hong Seng Index is :a.below 1.8 billionb.below 1.2 billionc.above 1.0 billionAnswer:From the condition, we can know that they are normal distribution, so it has the characteristic, their average are equals with media, and they are uniform, their normal distribution is bell distribution.Below 1.8 billionBelow 1.2 billionAbove 1.0 billionQuestion threeIn scenario, the following data represent the monthly service fee in dollars if a customer …saving account falls below the minimum $ 2000 balance for a sample of 10 banks for direct –deposit customer.12, 10, 10, 12, 15, 15, 12, 12, 20, 10a. construct a 95% confidence interval for the population mean monthly service fee in dollars if a customer‟s account balance falls below the minimum required balance Answer:When calculate the z-value, we can get the number must greater than 30, but in this process, their number is 10, so we can use the T value to get the level of confidence. We can through the nstx ± to calculate the confidence level. We to analysis the excel can get the result is mean is 12.8 and standard deviation is 3.12So we can defined the x =12.8 s= 3.12, from the table, we can know that t=2.26,16.310==n , according to the nstx ±, we can get the their confidence level is12.8-2.26*(3.12/10)≤≤μ12.8+2.26*(3.12/10)=10.57≤≤μ15.03. From this we can get the conclusion their overall mean was in their interval, very money receive the services in the interval.Because their overall mean is 13.8.Step 1: The null hypothesis is that the services fee mean has not changed from its previous values of 13.88.13= H (Assume it is true)The alternative hypothesis is the opposite of the null hypothesis. Since the null hypothesis is that the services fees means is 13.8, the alternative hypothesis is that services fee mean is not 13.8H1:μ>13.8(as to the bank receive the services fees)Step 2: You have to selected a sample of n=10, the level of significance is 0.025. Step 3: Because σ=is known, you use the normal distribution and the T-text statistic. Step 4: Since α=0.025, the critical values of the T-text statistic are -2.26 and +2.26. The rejection region is T<-2.26 or Z>+2.26. The region is -2.26<T<+2.26.Step 5: You collect the data and services fee 8.12=x , the overall means is 13.8, the standard deviation is 3.12, we can use the Z=-1.01Step 6: Since Z=-1.01>-2.26, it belonged to the region, the consumer can agree to receive the services fees that was higher than 13.8.Task three: Business Decision MakingFrom all information given, you need to consider the following problems: Question 1. What pr oportion of RBCC’s customers go into default? Answer:We can use the pivot able to calculate the result.From the chart table, we can get the conclusion that it‟s proportion 15%: 85%, from this proportion, we can see it, there will be 15% people who are default, their reputation will reduce and that would be affecting their credit in the future. The company should take measure to manage the people who are default. Otherwise, there will be a lot of bad debt of bank, which will directly affect the economic interests of banks.Question 2. What criteria should RBCC use when deciding which customers are good credit risks? If you were to recommend a set of variables for RBCC to use, which variables would you use?Answer: let us to arrange it, Income is first, because of this is the most is the basic condition for loans. The second is Debt, because of this reflects the individual's external debt situation, the third is Credit Rating, because of it reflecting his own credibility, to see whether banks can accept, the fourth is Marital Status, because of it reflects the ability of family income, then is children and age, the finally is gender.Question 3. Once a loan is in default, what “script” should they use to try and collect the overdue debt?You should include in your report statements about Hypothesis-testing methodolgy ,p-values, where appropriate.Exhibit 1.Also:Answer:The most commonly used three scripts are A, B, C. “A” indicates the “Responsibility” appeal; if the customer goes through the “A” appeal and still not willing to pay the debt then RBCC can reduce the customer‟s credit level of rank. Script “B” indicates the “Credit Rating” appeal, if script “B” is also not wo rking to the customer, RBCC can reduce the customer‟s credit level. The third script is focuses on the threat of legal action referring as scr ipt “C”. Script “C” indicates the “Legal” appeal, which is that RBCC can request the court to assist for debt collection.Question 4. Evaluate each of the following loan applicants, and make recommendations to the Becks as to which of them ought to be approved for a loan. Rank them in order of credit-worthiness and discuss your conclusions.Subject MaritalStatusB&HRating Children Age Income Debt GenderLEE Married A 4 24 $50,049 $92,876 Male Ferreira Single B 1 34 $21,334 $139,639 Male Aboud Divorced E 1 40 $49,638 $33,509 Male Coismain Single C 0 27 $35,541 $25,589 Female Arnold Married A 2 35 $53,269 $93,890 Female Chandra Widowed D 0 69 $44,070 $41,143 Female Manya Divorced E 1 36 $43,243 $29,775 FemaleBakshi Married C 1 32 $19,223 $18,006 MalePaul Married D 3 34 $33,754 $55,331 Male Scott Married B 2 29 $56,893 $44,657 Male Answer: We can be obvious see that their S can be divided into five parts that is A is 0.4, B is 0.5, C is 0.6, D is 0.7, E is 0.8. and we can analysis it in five credit ways.From the table, the LEE and Aronld‟s reputation level is A. they were credit from individual reputation or other ways, their risk indicator is low than 0.5, so they easy to get the debt from bank, but Ferreira and Scott‟s B&H Rating is B, and B is means 0.5, when they credit using the fixed asset mortgage, their risk indicators are 0.1, 0.35, 0.25, 0.4, because of they are low than 0.5, so the bank would like to credit for them, because of the bank have small risk.But as to Scott, because of he risk indicators is 0.5, but she is married, so when she pay the credit can through their income, and prepared their income and credit, the can pay the credit easily, so the bank can credit for her.Coismain and Bakshi, because of their B&H rating is equally that is 0.6. Through the table we can get the conclusion, when they use the other four, their risk indicators islow than 0.5, the bank would like to credit for them.Chandra and Paul, when they credit use the 20%, 50%, 70%, their risk indicators is low than 0.5, they can get the credit from bank.Aboud and Manya, from the 20%, 50%, we can get their risk indicators is 0.16, 0.4, they can debt from bank, from the 80%, 100%, we get the risk indicators is 0.64, 0.8, they are high than 0.6, they hardly to credit from bank. In the 70%, their risk indicators is 0.56, so they need to consider other reason, such as Aboud‟s age, her income is $49,638, her credit is $33.509, her income is high than her credit, and she have 1 children, she use the 70% to credit, so she can repay the credit easily, so the bank can credit for her. But as to Manya, the bank ought to credit for herQuestion 5. If all of these applicants were to be approved for a loan, what sort of interest rates would the Becks charge them, so that each applicant contribute 10% expected annual profit for RBCC? Make any necessary assumptions and state them clearly. (Assume that the Becks can charge a different rate to each customer, depending on their estimated risk of default.)Answer:Assumption ten people are credit from individual, they will credit $50000. Their confidence level is 95%we can get their risk indicators isFrom this we can get their mean is 0.42 and standard deviation is 0.1, then we can get their confidence interval. Because of their means is 0.42, the standard deviation is 0.1,μ0.49, from their mean is in their so we can get the confidence interval is 0.35≤≤interval.Because of the bank receive the credit interest is 3%≤interests≤12%, we can get the conclusion that when we credit from the bank, we need to consider our risk indicators, to build high credit ranking, if that we can get the credit easily.Each applicant contribute the annual profit to HSBC = 50,000* each applicants'Form this, we can get the conclusion that when we credit from the bank, we need to build high credit ranking, because of the risk indicators is high the profit is high. Bank would credit to people like that, if do that the bank can get more profits.Question 6. RBCC how to collect the default debt, what the further action they need to take?Answer: The further action that the RBCC need to take to collect the default debt it‟s that they need to prepare to analysis of different accounts. According to the different age length of the receivable accounts, to determine the proportion of the bad debt that needsto be received due to the default.. Once a loan is in default there are four most commonly used methods that the bank will use to collect the overdue debt. First one is to phone or send mails to the mortgagors that a loan default may have negative effect on their credit rating. The second one is to dispose the mortgagor‟s mortgages. The third one is to in quire into relative warrantor‟s responsibilities. Fourth one is to enable legal procedures, request the court to assist for debt collection.Question 7. As HSBC, what’s the action will be considered in future for supervising the subcidiaries to avoid lots of amont of default debt ?If the HSBC want to control their financial institution, or avoiding the default, they can increase the profits , it can affect the financial institution and control money supply, and descend the bank's risk, HSBS can engage the person who has the experience to mange the RSBS, and improve the credit card,in currently, some bank have improved their risk indicators, that is 0.5, it avoid the default, maintaining the bank's profit. they can check the accounts in fixing date. The HSBC would like to improve the internal control, to avoid the internal conflict, and encourage them to realize the financial market and business environment, then to do the better decision to the RSBC.ConclusionThis report has some questions, it all need use our used knowledge of statistics.We use the table to analysis the data, such as we use the pareto table to analysis the data and get the married easiest to credit from HSBC, and to explain the default debt, and use we studied method of solve default debt to deal with the default debt customers of HSBC.These issues are related to the knowledge we have learned, we use we learned to deal with these issues in flexibility.RecommendationSome people have default debt, it impact on the HSBC‟s profits. The HSBC may improve its interest rate. Because of it can reduce a lot of default debts. When people want to lend money from HSBC, they will consider they really can afford the interest rate or not. When customers apply business in HSBC. It can reduce the amount of service charges.Reference listDavid M. Levine/Timothy C. Krehbiel/Mark L.Berenson, Business Statistics, 2006Ken Black, Business Statistics, 2006Distribution the assignmentMeeting Schedule。

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