### 统计代写|金融统计代写Financial Statistics代考|GRA6518

statistics-lab™ 为您的留学生涯保驾护航 在代写金融统计Financial Statistics方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写金融统计Financial Statistics代写方面经验极为丰富，各种代写金融统计Financial Statistics相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• Advanced Probability Theory 高等概率论
• Advanced Mathematical Statistics 高等数理统计学
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 统计代写|金融统计代写Financial Statistics代考|Deductive Versus Inductive Analysis in Statistics

We also encounter another dichotomy in statistical analysis. Deduction is the use of general information to draw conclusions about specific cases. For example, probability tells us that if a student is chosen by lottery from a calculus class composed of 60 mathematics majors and 40 business administration majors, then the odds against picking a mathematics majors are 4-6. Thus we can deduce that about $40 \%$ of such single-member samples of the students in this calculus class will be business administration majors. As another example of deduction, consider a firm that learns that $1 \%$ of its auto parts are defective and concludes that in any random sample, $1 \%$ of its parts are therefore going to be defective. The use of probability to determine the chance of obtaining a particular kind of sample result is known as deductive statistical analysis.
In Chaps. 5, 6, and 7, we will learn how to apply deductive techniques when we know everything about the population in advance and are concerned with studying the characteristics of the possible samples that may arise from that known population.
Induction involves drawing general conclusions from specific information. In statistics, this means that on the strength of a specific sample, we infer something about a general population. The sample is all that is known; we must determine the uncertain characteristics of the population from the incomplete information available. This kind of statistical analysis is called inductive statistical analysis. For example, if $56 \%$ of a sample prefers a particular candidate for a political office, then we can estimate that $56 \%$ of the population prefers this candidate. Of course, our estimate is subject to error, and statistics enables us to calculate the possible error of an estimate. In this example, if the error is $3 \%$ points, it can be inferred that the actual percentage of voters preferring the candidate is $56 \%$ plus or minus $3 \%$; that is, it is between $53 \%$ and $59 \%$.

Deductive statistical analysis shows how samples are generated from a population, and inductive statistical analysis shows how samples can be used to infer the characteristics of a population. Inductive and deductive statistical analyses are fully complementary. We must study how samples are generated before we can learn to generalize from a sample.

## 统计代写|金融统计代写Financial Statistics代考|Data Collection

After identifying a research problem and selecting the appropriate statistical methodology, researchers must collect the data that they will then go on to analyze. There are two sources of data: primary and secondary sources. Primary data are data collected specifically for the study in question. Primary data may be collected by methods such as personal investigation or mail questionnaires. In contrast, secondary data were not originally collected for the specific purpose of the study at hand but rather for some other purpose. Examples of secondary sources used in finance and accounting include the Wall Street Journal, Barron’s, Value Line Investment Survey, Financial Times, and company annual reports. Secondary sources used in marketing include sales reports and other publications. Although the data provided in these publications can be used in statistical analysis, they were not specifically collected for that use in any particular study.

Example 2.1 Primary and Secondary Sources of Data. Let us consider the following cases and then characterize each data source as primary or secondary:

1. (Finance) To determine whether airline deregulation has increased the return and risk of stocks issued by firms in the industry, a researcher collects stock data from the Wall Street Journal and the Compustat database. (The Compustat database contains accounting and financial information for many firms.)
2. (Production) To determine whether ball bearings meet measurement specifications, a production engineer examines a sample of 100 bearings.
3. (Marketing) Before introducing a hamburger made with a new recipe, a firm gives 25 customers the new hamburger and asks them on a questionnaire to rate the hamburger in various categories.
4. (Political science) A candidate for political office has staff members call 1,000 voters to determine what candidate they prefer in an upcoming election.
5. (Marketing) A marketing firm looks up, in Consumer Reports, the demand for different types of cars in the United States.

## 统计代写|金融统计代写Financial Statistics代考|Data Collection

1. （金融）为了确定航空公司放松管制是否增加了行业公司发行股票的回报和风险，研究人员从华尔街日报和 Compustat 数据库收集股票数据。（Compustat 数据库包含许多公司的会计和财务信息。）
2. （生产）为了确定滚珠轴承是否符合测量规格，生产工程师检查了 100 个轴承样本。
3. （营销）在推出使用新配方制作的汉堡包之前，一家公司向 25 位顾客提供了新汉堡包，并要求他们在问卷上对不同类别的汉堡包进行评分。
4. （政治学）政治职位候选人让工作人员召集 1,000 名选民，以确定他们在即将到来的选举中更喜欢哪位候选人。
5. （营销）一家营销公司在《消费者报告》中查找了美国对不同类型汽车的需求。

## 有限元方法代写

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## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。