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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。
statistics-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。
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|Bar Graph
Figure 2-11 shows two bar graphs depicting the life expectancies for men and women born in the designated year. Let’s analyze the features of these graphs.
SOLUTION: The graphs are called cluster bar graphs because there are two bars for each year of birth. One bar represents the life expectancy for men, and the other represents the life expectancy for women. The height of each bar represents the life expectancy (in years).
An important feature illustrated in Figure 2-11(b) is that of a changing scale. Notice that the scale between 0 and 65 is compressed. The changing scale amplifies the apparent difference between life spans for men and women, as well as the increase in life spans from those bom in 1980 to the projected span of those born in 2010 .Quality control is an important aspect of today’s production and service industries. Dr. W. Edwards Deming was one of the developers of total quality management (TQM). In his book Out of Crisis, he outlines many strategies for monitoring and improving service and production industries. In particular, Dr. Deming recommends the use of some statistical methods to organize and analyze data from industries so that sources of problems can be identified and then corrected. Pareto (pronounced “Pah-rāy-[ॅ”) charts are among the many techniques used in qualitycontrol programs.
统计代写|AP统计作业代写代考|Time-Series Graph
Suppose you have been in the walking/jogging exercise program for 20 weeks, and for each week you have recorded the distance you covered in 30 minutes. Your data $\log$ is shown in Table 2-14.
(a) Make a time-series graph.
sOLUTION: The data are appropriate for a time-series graph because they represent the same measurement (distance covered in a 30 -minute perind) taken at different times. The measurements are also recorded at equal time intervals (every week). To make our time-series graph, we list the weeks in order on the horizontal scale. Above each week, plot the distance covered that week on the vertical scale. Then connect the dots. Figure $2-14$ shows the time-series graph. Be sure the scales are labeled.
(b) Interpretation From looking at Figure 2-14, can you detect any patterns?
SOLUTION: There seems to be an upward trend in distance covered. The distances covered in the last few weeks are about a mile farther than those for the first few weeks. However, we cannot conclude that this trend will continue. Perhaps you have reached your goal for this training activity and now wish to maintain a distance of about $2.5$ miles in 30 minutes.
Data sets composed of similar measurements taken at regular intervals over time. are called time series. Time series are often used in economics, finance, sociology, medicine, and any other situation in which we want to study or monitor a similar measure over a period of time. A time-series graph can reveal some of the main features of a time series.
统计代写|AP统计作业代写代考|Lifestyle: Hide the Mess!
Lifestyle: Hide the Mess! A survey of 1000 adults (reported in USA Today) uncovered some interesting housekeeping secrets. When unexpected company comes, where do we hide the mess? The survey showed that $68 \%$ of the respondents toss their mess into the closet, $23 \%$ shove things under the bed, $6 \%$ put things into the bathtub, and $3 \%$ put the mess into the freezer. Make a circle graph to display this information.
Education: College Professors’ Time How do college professors spend their time? The National Education Association Almanac of Higher
Education gives the following average distribution of professional time allocation: teaching, $51 \%$; research, $16 \%$; professional growth, $5 \%$; community service, $11 \%$; service to the college, $11 \%$; and consulting outside the college, $6 \%$. Make a pie chart showing the allocation of professional time for college professors.
FBI Report: Hawaii In the Aloha state, you are very unlikely to be murdered! However, it is considerably more likely that your house might be burgled, your car might be stolen, or you might be punched in the nose. That said, Hawaii is still a great place to vacation or, if you are very lucky, to live. The following numbers represent the crime rates per 100,000 population in Hawaii: murder, 2.6; rape, $33.4$; robbery, $93.3$; house burglary, $911.6$; motor vehicle theft, $550.7$; assault, $125.3$ (Source: Crime in the United States,
U.S. Department of Justice, Federal Bureau of Investigation).
(a) Display this information in a Pareto chart, showing the crime rate for each category.
(b) Could the information as reported be displayed as a circle graph?
Explain. Hint: Other forms of crime, such as arson, are not included in the information. In addition, some crimes might occur together.
Driving: Bad Habits Driving would be more pleasant if we didn’t have to put up with the bad habits of other drivers. USA Today reported the results of a Valvolinè Oil Company survey of 500 drivèrs, in which thê drivers marked their complaints about other drivers. The top complaints turned out to be tailgating. marked by $22 \%$ of the respondents; not using turn signals, marked by $19 \%$; being cut off, marked by $16 \%$; other drivers driving too slowly, marked by $11 \%$; and other drivers being inconsiderate, marked by $8 \%$. Make a Pareto chart showing percentage of drivers listing each stated complaint. Could this information as reported be put in a circle graph? Why or why not?
Ecology: Lakes Pyramid Lake, Nevada, is described as the pride of the Paiute Indian Nation. It is a beautiful desert lake famous for very large trout. The elevation of the lake surface (feet above sea level) varies according to the annual flow of the Truckee River from Lake Tahoe. The U.S. Geological Survey provided the following data from equally spaced intervals of time over a 15 year period.
AP统计代写
统计代写|AP统计作业代写代考|Bar Graph
图 2-11 显示了两个条形图，描绘了在指定年份出生的男性和女性的预期寿命。我们来分析一下这些图的特点。
解决方案：这些图表被称为集群条形图，因为每个出生年份都有两个条形图。一根代表男性的预期寿命，另一根代表女性的预期寿命。每个条形的高度代表预期寿命（以年为单位）。
图 2-11(b) 所示的一个重要特征是比例变化。请注意，0 到 65 之间的比例被压缩。变化的尺度放大了男女寿命的明显差异，以及从 1980 年出生的人到 2010 年出生的人的预期寿命的增加。质量控制是当今生产和服务行业的一个重要方面. W. Edwards Deming 博士是全面质量管理 (TQM) 的开发者之一。在他的《走出危机》一书中，他概述了许多监控和改进服务和生产行业的策略。特别是，戴明博士建议使用一些统计方法来组织和分析来自行业的数据，以便找出问题的根源并加以纠正。
统计代写|AP统计作业代写代考|Time-Series Graph
假设您已经进行了 20 周的步行/慢跑锻炼计划，并且您每周都记录了您在 30 分钟内走过的距离。您的数据日志如表2-14所示。
(a) 制作时间序列图。
解决方案：这些数据适用于时间序列图，因为它们代表在不同时间进行的相同测量（在 30 分钟内覆盖的距离）。测量也以相等的时间间隔（每周）记录。为了制作我们的时间序列图，我们在水平刻度上按顺序列出了周。在每周上方，在垂直刻度上绘制该周所经过的距离。然后连接点。数字2−14显示时间序列图。确保标有标签。
(b) 解释 从图 2-14 中，你能发现任何模式吗？
解决方案：覆盖距离似乎呈上升趋势。过去几周所覆盖的距离比前几周的距离要远大约一英里。但是，我们不能断定这种趋势会持续下去。也许您已经达到了本次培训活动的目标，现在希望保持约2.5英里在 30 分钟内。
由随时间定期进行的类似测量组成的数据集。称为时间序列。时间序列通常用于经济学、金融学、社会学、医学以及我们想要在一段时间内研究或监控类似度量的任何其他情况。时间序列图可以揭示时间序列的一些主要特征。
统计代写|AP统计作业代写代考|Lifestyle: Hide the Mess!
生活方式：隐藏混乱！一项针对 1000 名成年人的调查（《今日美国》报道）发现了一些有趣的家务秘密。当意想不到的公司来临时，我们在哪里隐藏混乱？调查显示，68%的受访者将他们的烂摊子扔进壁橱，23%把东西推到床底下，6%把东西放进浴缸里，然后3%把烂摊子放进冰箱。制作一个圆形图来显示此信息。
教育：大学教授的时间 大学教授如何度过他们的时间？全国教育协会高等教育年鉴
给出了以下职业时间分配的平均分布：教学、51%; 研究，16%; 专业成长，5%; 社区服务，11%; 为学院服务，11%; 和校外咨询，6%. 制作一个饼图，显示大学教授的专业时间分配情况。
FBI 报告：夏威夷 在阿罗哈州，你被谋杀的可能性很小！然而，你的房子很可能被盗，你的车可能被盗，或者你的鼻子可能被打了一拳。也就是说，夏威夷仍然是一个度假的好地方，或者，如果你很幸运，还可以居住。以下数字代表夏威夷每 100,000 人的犯罪率：谋杀，2.6；强奸，33.4; 抢劫，93.3; 入室盗窃，911.6; 机动车盗窃，550.7; 突击，125.3（资料来源：美国犯罪、
美国司法部、联邦调查局）。
(a) 在帕累托图中显示此信息，显示每个类别的犯罪率。
(b) 报告的信息可以显示为圆形图吗？
解释。提示：其他形式的犯罪，如纵火，不包括在信息中。此外，一些犯罪可能同时发生。
驾驶：坏习惯 如果我们不必忍受其他司机的坏习惯，驾驶会更愉快。《今日美国》报道了 Valvolinè 石油公司对 500 名司机的调查结果，其中司机标出了他们对其他司机的抱怨。最重要的投诉结果是尾随。标记为22%受访者；不使用转向灯，标记为19%; 被切断，标记为16%; 其他司机开得太慢，标记为11%; 和其他司机不考虑周到，标记为8%. 制作一个帕累托图，显示列出每个陈述的投诉的司机百分比。报告的这些信息可以放在圆形图中吗？为什么或者为什么不？
生态：内华达州的金字塔湖被描述为派尤特印第安民族的骄傲。这是一个美丽的沙漠湖，以非常大的鳟鱼而闻名。湖面的高度（海拔英尺）根据来自太浩湖的特拉基河的年流量而变化。美国地质调查局提供了 15 年期间等间隔时间的以下数据.
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。