AP统计学与大学的统计学课程在核心内容上是一致的，只是涉及的深度稍浅，AP统计学主要包含以下四部分内容。 第一部分 如何获取数据，获取数据的方式有哪些呢？ 获取数据的方式主要包括普查、抽样调查、观测研究和实验设计等。

assignmentutor-lab™ 为您的留学生涯保驾护航 在代写AP统计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AP统计代写方面经验极为丰富，各种代写AP统计相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (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|AP统计代写AP统计代考|Random Variables

We consider random variables in detail in Chapter 9, but it is important at the beginning to understand the role they play in statistics. A random variable can be thought of as a numerical outcome of a random phenomenon or an experiment. As an example of a discrete random variable, we can toss three fair coins, and let $X$ be the count of heads; we then note that $X$ can take on the values $0,1,2$, or 3 . An example of a continuous random variable might be the number of centimeters a child grows from age 5 to age 6 .

An understanding of random variables is what will allow us to use our knowledge of probability (Chapter 9) in statistical inference. Random variables give rise to probability distributions (a way of matching outcomes with their probabilities of success), which in turn give rise to our ability to make probabilistic statements about sampling distributions (distributions of sample statistics such as means and proportions). This language, in turn, allows us to talk about the probability of a given sample being as different from expected as it is. This is the basis for inference. All of this will be examined in detail later in this book, but it’s important to remember that random variables are the foundation for inferential statistics.

There are a number of definitions in this chapter and many more throughout the book (summarized in the Glossary). Although you may not be asked specific definitions on the AP Exam, you are expected to have the working vocabulary needed to understand any statistical situation you might be presented with. In other words, you need to know and understand the vocabulary presented in the course in order to do your best on the AP Exam.

## 统计代写|AP统计代写AP统计代考|Measures of Center

In the last example of the previous section, we said that the graph appeared to be centered about a height of $66^{\prime \prime}$. In this section, we talk about ways to describe the center of a distribution. There are two primary measures of center: the mean and the median. There is a third measure, the mode, but it tells where the most frequent values occur more than it describes the center. In some distributions, the mean, median, and mode will be close in value, but the mode can appear at any point in the distribution.
Mean
Let $x_{i}$ represent any value in a set of $n$ values $(i=1,2, \ldots, n)$. The mean of the set is defined as the sum of the $x$ ‘s divided by $n$. Symbolically, $\bar{x}=\frac{\sum_{i=1}^{n} x_{i}}{n}$. Usually, the indices on the summation symbol in the numerator are left out and the expression is simplified to $\bar{x}=\frac{\sum x}{n}$. $\sum x$ means “the sum of $x$ ” and is defined as follows: $\sum x=x_{1}+x_{2}+\ldots+x_{n}$. Think of it as the “add-’em-up” symbol to help remember what it means. $\bar{x}$ is used for a mean based on a sample (a statistic). In the event that you have access to an entire distribution (such as in Chapters 9 and 10), its mean is symbolized by the Greek letter $\mu$.
(Note: In the previous chapter, we made a distinction between statistics, which are values that describe sample data, and parameters, which are values that describe populations. Unless we are clear that we have access to an entire population, or that we are discussing a distribution, we use the statistics rather than parameters.)
example: During his major league career, Babe Ruth hit the following number of home runs (1914-1935): $0,4,3,2,11,29,54,59,35,41,46,25,47,60,54$, $46,49,46,41,34,22,6$. What was the mean number of home runs per year for his major league career?
\begin{aligned} \bar{x} &=\frac{\Sigma x}{n}=\frac{0+4+3+2+\cdots+22+6}{22} \ &=\frac{714}{22}=32.45 \end{aligned}

# AP统计代写

## 统计代写|AP统计代写AP统计代考|Measures of Center

(注意: 在上一章中，我们对描述样本数据的值和描述总体的值的统计量进行了区分。除非我们很清楚我们可以访问整个总体，或者我们是讨论分布时，我们使 用统计数据而不是参数。)

$$\bar{x}=\frac{\Sigma x}{n}=\frac{0+4+3+2+\cdots+22+6}{22} \quad=\frac{714}{22}=32.45$$

## 有限元方法代写

assignmentutor™作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## 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。

assignmentutor™您的专属作业导师
assignmentutor™您的专属作业导师