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AP 统计主要是介绍收集、分析和从数据中得出结论的主要概念和工具。
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我们提供的AP统计及其相关学科的代写，服务范围广, 其中包括但不限于:
- Statistical Inference 统计推断
- Statistical Computing 统计计算
- Advanced Probability Theory 高等楖率论
- 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|AP统计作业代写代考|Water: Yellowstone River
In the Western United States there is a saying, “Whisky is for drinken but water is for fighten!” Water and water rights have been fought over ever since ranchers and settlers moved into Wyoming, Montana, and the West.
Even today farmers and ranchers fight cities and large developments over water from snowmelt that originates deep in the Rocky Mountains.
The Yellowstone River starts in massive and beautiful Yellowstone Lake. Then it flows through prime trout fishing areas to the famous Yellowstone Falls. After it leaves the park, the river is an important source of water for wildlife, ranchers, farmers, and cities downstream. How much water does leave the park each year? The annual flow of the Yellowstone River (units $10^{8}$ cubic meters) is shown here for 19 recent years
(b) What is the “expected” annual flow from the Yellowstone snowmelt? Find the mean, median, and mode.
(c) Find the range and standard deviation of annual flow.
(d) Find a $75 \%$ Chebyshev interval around the mean.
(e) Give a five-number summary of annual water flow from the Yellowstone River and make a box-and-whisker plot. Interpret the five-number summary and the box-and-whisker plot. Where does the middle portion of the data lie? What is the interquartile range? Can you find data outliers?
(f) The Madison River is a smaller but very important source of water flowing out of Yellowstone Park from a different drainage. Ten recent years of annual water flow data are shown below (units $10^{5}$ cubic meters).
$\begin{array}{llllllllll}3.83 & 3.81 & 4.01 & 4.84 & 5.81 & 5.50 & 4.31 & 5.81 & 4.31 & 4.67\end{array}$
Although smaller, is the Madison more reliable? Use the coefficient of variation to make an estimate.
(g) Interpretation Based on the data, would it be safe to allocate at least 27 units of Yellowstone River water each year for agricultural and domestic use? Why or why not?
(See problem 9 of the Chapter 3 Review Problems)
统计代写|AP统计作业代写代考|Critical Thinking continued
passenger cars in order of customer satisfaction level, we could identify the median satisfaction level. For the mean, our data need to be at the interval or ratio level (although there are exceptions in which the mean of ordinal-level data is computed). We can certainly find the mean model year of used passenger cars sold or the mean price of new passenger cars.
Another issue of concern is that of taking the average of averages. For instance, if the values $\$ 520, \$ 640, \$ 730, \$ 890$, and $\$ 920$ represent the mean monthly rents for five different apartment complexes, we can’t say that $\$ 740$ (the mean of the five numbers) is the mean monthly rent of all the apartments. We need to know the number of apartments in each complex before we can determine an average based on the number of apartments renting at each designated amount.
In general, when a data distribution is mound-shaped symmetric, the values for the mean, median, and mode are the same or almost the same. For skewed-left distributions, the mean is less than the median and the median is less than the mode. For skewed-right distributions, the mode is the smallest value, the median is the next largest, and the mean is the largest. Figure $3-1$ shows the general relationships among the mean, median, and mode for different types of distributions.
统计代写|AP统计作业代写代考|Weighted Average
Suppose your midterm test score is 83 and your final exam score is 95 . Using weights of $40 \%$ for the midtem and $60 \%$ for the final exam, compute the weighted average of your scores. If the minimum average for an $\mathrm{A}$ is 90 , will you earn an $\mathrm{A}$ ?
SOLUTION: By the formula, we multiply each score by its weight and add the results together. Then we divide by the sum of all the weights. Converting the percentages to decimal notation, we get
$$
\begin{aligned}
\text { Weighted average } &=\frac{83(0.40)+95(0.60)}{0.40+0.60} \
&=\frac{33.2+57}{1}=90.2
\end{aligned}
$$
Your average is high enough to earn an A.
AP统计代写
统计代写|AP统计作业代写代考|Water: Yellowstone River
美国西部有句谚语：“威士忌是用来喝的，水是用来斗的！” 自从牧场主和定居者迁入怀俄明州、蒙大拿州和西部以来，水权和水权就一直在争夺。
即使在今天，农民和牧场主也在争夺源自落基山脉深处的融雪水的城市和大型开发项目。
黄石河始于巨大而美丽的黄石湖。然后它流经主要的鳟鱼捕捞区，到达著名的黄石瀑布。离开公园后，这条河是野生动物、牧场主、农民和下游城市的重要水源。每年有多少水离开公园？黄石河年流量（单位108立方米）在这里显示了 19 年
(b) 黄石融雪的“预期”年流量是多少？求均值、中位数和众数。
(c) 求年流量的范围和标准差。
(d) 找到一个75%Chebyshev 区间均值附近。
(e) 给出黄石河年流量的五位数汇总，并制作箱须图。解释五数总结和盒须图。数据的中间部分在哪里？四分位距是多少？你能找到数据异常值吗？
(f) 麦迪逊河是一个较小但非常重要的水源，从不同的排水系统流出黄石公园。近十年年水流量数据如下图（单位105立方米）。
3.833.814.014.845.815.504.315.814.314.67
虽然更小，但麦迪逊更可靠吗？使用变异系数进行估计。
(g) 解释 根据数据，每年分配至少 27 个单位的黄石河水用于农业和家庭使用是否安全？为什么或者为什么不？
（见第 3 章复习题的第 9 题）
统计代写|AP统计作业代写代考|Critical Thinking continued
乘用车按客户满意度排序，我们可以确定中位满意度。对于均值，我们的数据需要处于区间或比率级别（尽管有例外情况会计算序数级别数据的均值）。我们当然可以找到销售的二手乘用车的平均型号年份或新乘用车的平均价格。
另一个值得关注的问题是取平均值。例如，如果值$520,$640,$730,$890， 和$920代表五个不同公寓大楼的平均月租金，我们不能这么说$740（五个数字的平均值）是所有公寓的平均月租金。我们需要知道每个综合体中的公寓数量，然后才能根据每个指定数量的出租公寓数量来确定平均值。
通常，当数据分布呈土丘状对称时，均值、中值和众数的值相同或几乎相同。对于左偏分布，均值小于中位数，中位数小于众数。对于偏右分布，众数是最小值，中位数是次大的，均值是最大的。数字3−1显示了不同类型分布的均值、中位数和众数之间的一般关系。
统计代写|AP统计作业代写代考|Weighted Average
假设你的期中考试成绩是 83 并且你的期末考试成绩是 95 。使用权重40%对于中期和60%对于期末考试，计算你分数的加权平均值。如果一个最小平均值一种是 90 , 你 会 赚 一个一种?
解决方案：通过公式，我们将每个分数乘以其权重并将结果加在一起。然后我们除以所有权重的总和。将百分比转换为十进制表示法，我们得到
加权平均 =83(0.40)+95(0.60)0.40+0.60 =33.2+571=90.2
你的平均水平足以获得 A。
Course Overview
AP Statistics is an introductory college-level statistics course that introduces students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data. Students cultivate their understanding of statistics using technology, investigations, problem solving, and writing as they explore concepts like variation and distribution; patterns and uncertainty; and data-based predictions, decisions, and conclusions.
- AP Statistics Course OverviewThis resource provides a succinct description of the course and exam.PDF180.39 KB
- AP Statistics Course and Exam Description Walk-ThroughLearn more about the CED in this interactive walk-through.
- AP Statistics Course at a GlanceExcerpted from the AP Statistics Course and Exam Description, the Course at a Glance document outlines the topics and skills covered in the AP Statistics course, along with suggestions for sequencing.PDF585.66 KB
- AP Statistics Course and Exam DescriptionThis is the core document for this course. Unit guides clearly lay out the course content and skills and recommend sequencing and pacing for them throughout the year. The CED was updated in March 2021.PDF17.9 MB
- AP Statistics CED Errata SheetThis document details the updates made to the course and exam description (CED) in March 2021.PDF934.27 KB
- AP Statistics CED Scoring GuidelinesThis document details how each of the sample free-response questions in the course and exam description (CED) would be scored. This information is now in the online CED, but was not included in the binders teachers received in 2019.PDF245.87 KB
Course Content
Based on the Understanding by Design® (Wiggins and McTighe) model, this course framework provides a clear and detailed description of the course requirements necessary for student success. The framework specifies what students must know, be able to do, and understand, with a focus on three big ideas that encompass the principles and processes in the discipline of statistics. The framework also encourages instruction that prepares students for advanced coursework in statistics or other fields using statistical reasoning and for active, informed engagement with a world of data to be interpreted appropriately and applied wisely to make informed decisions.
The AP Statistics framework is organized into nine commonly taught units of study that provide one possible sequence for the course. As always, you have the flexibility to organize the course content as you like.
| Unit | Exam Weighting (Multiple-Choice Section) |
| Unit 1: Exploring One-Variable Data | 15%–23% |
| Unit 2: Exploring Two-Variable Data | 5%–7% |
| Unit 3: Collecting Data | 12%–15% |
| Unit 4: Probability, Random Variables, and Probability Distributions | 10%–20% |
| Unit 5: Sampling Distributions | 7%–12% |
| Unit 6: Inference for Categorical Data: Proportions | 12%–15% |
| Unit 7: Inference for Quantitative Data: Means | 10%–18% |
| Unit 8: Inference for Categorical Data: Chi-Square | 2%–5% |
| Unit 9: Inference for Quantitative Data: Slopes | 2%–5% |
Course Skills
The AP Statistics framework included in the course and exam description outlines distinct skills that students should practice throughout the year—skills that will help them learn to think and act like statisticians.
| Skill | Description | Exam Weighting (Multiple-Choice Section) |
| 1. Selecting Statistical Methods | Select methods for collecting and/or analyzing data for statistical inference. | 15%–23% |
| 2. Data Analysis | Describe patterns, trends, associations, and relationships in data. | 15%–23% |
| 3. Using Probability and Simulation | Explore random phenomena. | 30%–40% |
| 4. Statistical Argumentation | Develop an explanation or justify a conclusion using evidence from data, definitions, or statistical inference. | 25%–35% |
统计代写请认准statistics-lab™. statistics-lab™为您的留学生涯保驾护航。统计代写|python代写代考
随机过程代考
在概率论概念中，随机过程是随机变量的集合。 若一随机系统的样本点是随机函数，则称此函数为样本函数，这一随机系统全部样本函数的集合是一个随机过程。 实际应用中，样本函数的一般定义在时间域或者空间域。 随机过程的实例如股票和汇率的波动、语音信号、视频信号、体温的变化，随机运动如布朗运动、随机徘徊等等。
贝叶斯方法代考
贝叶斯统计概念及数据分析表示使用概率陈述回答有关未知参数的研究问题以及统计范式。后验分布包括关于参数的先验分布，和基于观测数据提供关于参数的信息似然模型。根据选择的先验分布和似然模型，后验分布可以解析或近似，例如，马尔科夫链蒙特卡罗 (MCMC) 方法之一。贝叶斯统计概念及数据分析使用后验分布来形成模型参数的各种摘要，包括点估计，如后验平均值、中位数、百分位数和称为可信区间的区间估计。此外，所有关于模型参数的统计检验都可以表示为基于估计后验分布的概率报表。
广义线性模型代考
广义线性模型（GLM）归属统计学领域，是一种应用灵活的线性回归模型。该模型允许因变量的偏差分布有除了正态分布之外的其它分布。
statistics-lab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。
机器学习代写
随着AI的大潮到来，Machine Learning逐渐成为一个新的学习热点。同时与传统CS相比，Machine Learning在其他领域也有着广泛的应用，因此这门学科成为不仅折磨CS专业同学的“小恶魔”，也是折磨生物、化学、统计等其他学科留学生的“大魔王”。学习Machine learning的一大绊脚石在于使用语言众多，跨学科范围广，所以学习起来尤其困难。但是不管你在学习Machine Learning时遇到任何难题，StudyGate专业导师团队都能为你轻松解决。
多元统计分析代考
基础数据: $N$ 个样本， $P$ 个变量数的单样本，组成的横列的数据表
变量定性: 分类和顺序；变量定量：数值
数学公式的角度分为: 因变量与自变量
时间序列分析代写
随机过程，是依赖于参数的一组随机变量的全体，参数通常是时间。 随机变量是随机现象的数量表现，其时间序列是一组按照时间发生先后顺序进行排列的数据点序列。通常一组时间序列的时间间隔为一恒定值（如1秒，5分钟，12小时，7天，1年），因此时间序列可以作为离散时间数据进行分析处理。研究时间序列数据的意义在于现实中，往往需要研究某个事物其随时间发展变化的规律。这就需要通过研究该事物过去发展的历史记录，以得到其自身发展的规律。
回归分析代写
多元回归分析渐进（Multiple Regression Analysis Asymptotics）属于计量经济学领域，主要是一种数学上的统计分析方法，可以分析复杂情况下各影响因素的数学关系，在自然科学、社会和经济学等多个领域内应用广泛。
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，工具箱允许您学习和应用专业技术。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。