Analysis II作业代做、代写R编程设计作业、R程序语言作业调试、代做Data留学生作业代写留学生Prolog|代写Python编程

Project: Methods of DataAnalysis II, Spring 2019Project Report due: Sunday, June 9.Project Instructions1. The project is required for all students enrolled in ST 412/512.2. You may complete the project in groups of up to 3 people.3. It is recommended that members of a group either consist of students of ST 512 or ST412.4. If you have already formed a group or plan to form a group, email Sharmodeep aboutyour group information (names of your group members) by Monday, May 13, 5 pm.Project Work1. Two main possible paths of project:(a) Either, read and review the statistical analysis in a published journal/ unpublishedarticle of your choice. The article should be from your field of study, or a closelyrelated field. The statistical analysis should be one covered in this course. If thepaper reports more than one statistical analysis, choose just one to focus on.(b) Or, dientify a data set related to your field of study or a closely related field andperform statistical analysis on the data set. The statistical analysis should be onecovered in this course.2. Do not submit the original paper/ data with your report. You can include an appendixwith tables and figures if necessary.3. Your report should be at most four double-spaced pages (not including an appendixwith figures). More is not better. Aim to be clear and concise.4. Think of the project as if you were writing a summary report on that paper/data, focusingon the statistical analysis. As a guideline, your report should address the following points:(a) For papers, give the authors, publication year, article title, journal, volume, andpage numbers in the following format: Smith, R.A., and M.R. Jones (2011). “Themeaning of life”. Nature 35: 101-111.(b) For data, refer the source of the data, preferably a publicly available source.1(c) State the research question that the particular statistical analysis seeks to answer.It may be appropriate to include some background to give context to the researchquestion, but don’t spend too much space on this.(d) What analysis are you focusing on (e.g., multiple linear regression, two-way analysisof variance)? What is the response and what are the explanatory variables? Explainthe study design that led to the analysis. What are the experimental or samplingunits?(e) State the answer to the research question given in the paper (this may be a quote, oryou may paraphrase). Discuss from your perspective, whether the authors’ conclusionsappropriate, given the results of the statistical analysis?In the case of a data set, state the answer to the research questions that you obtain.(f) What are the assumptions of the statistical analysis? Do the authors report anyassessment of the assumptions in the paper? Do the assumptions seem reasonable,or are they questionable?Project Deliverables1. By Monday, May 13, at 5:00 pm: If you are planning on a forming a group byyourself, decide on the group members and send me the group list.On May 13 after 5 pm, I will randomly allocate the remaining students of the class ingroups of 3 people.2. By Sunday, June 9: Submit a four-page (reasonable margins and font size) documentthat summarizes the following:(a) Project/data background and the questions that you addressed.(b) Optional: Your findings including at least one interesting plot.(c) Obstacles you encountered and useful/interesting solutions to overcoming those obstacles.(d) Additional questions that you generated and/or future work that you could do withthe data.(e) You report should not include R code or raw R output. You may submit an R scriptin addition in the appendix.(f) Your report should include the following sections and be a pdf or Word doc:i. Introduction: Give a brief overview of the data, a little bit of background andthe questions of interest. Keep this concise, understandable to someone outsideof this class, free of statistical jargon and to the point.2ii. Methods: Methods of analysis and assumptions used for the data set. In case ofanalysis of paper, give methods of analysis and critique of the statistical methodsand assumptions of the paper.iii. Summary: Provide a brief non-technical summary of your findings.%bibliographyProject13本团队核心人员组成主要包括BAT一线工程师，精通德英语！我们主要业务范围是代做编程大作业、课程设计等等。我们的方向领域：window编程 数值算法 AI人工智能 金融统计 计量分析 大数据 网络编程 WEB编程 通讯编程 游戏编程多媒体linux 外挂编程 程序API图像处理 嵌入式/单片机 数据库编程 控制台 进程与线程 网络安全 汇编语言 硬件编程 软件设计 工程标准规等。其中代写编程、代写程序、代写留学生程序作业语言或工具包括但不限于以下范围:C/C++/C#代写Java代写IT代写Python代写辅导编程作业Matlab代写Haskell代写Processing代写Linux环境搭建Rust代写Data Structure Assginment 数据结构代写MIPS代写Machine Learning 作业 代写Oracle/SQL/PostgreSQL/Pig 数据库代写/代做/辅导Web开发、网站开发、网站作业ASP.NET网站开发Finance Insurace Statistics统计、回归、迭代Prolog代写Computer Computational method代做因为专业，所以值得信赖。如有需要，请加QQ：99515681 或邮箱：[email protected] 微信：codehelp QQ：99515681 或邮箱：[email protected] 微信：codehelp