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MATH10282 Introduction to StatisticsSemester 2, 2018/19Coursework assignment using RThe deadline for submitting this coursework is 3.00pm on Monday 29 April 2019.You must submit your work in hard copy form in person in ATB2.223. No email orlate submission will be accepted.This coursework comprises 10% of the overall marks for the module.Instructions(a) You can include code and numerical results from R by copying and pasting intoyour document. Comments and discussion of the results should be added asrequired. You can save any plots created in R, for example as a PDF, and importthese into your final report. If you wish to include handwritten section (e.g.with mathematical notation), you may do so by including a scan or photo of thehandwritten part in your report.Include in your report all R commands used to generate results.(b) Please include your name and ID in your report. If you have any queries or problems,please contact me as soon as possible.(c) Your report should not be longer than 5 printed pages. Longer reports will bepenalised.The data for this question are contained in https://minerva.it.manchester.ac.uk/~saralees/data.txt. The data consist of daily closing stock prices of the companyCoca Cola.(a) Read the data into R. [1](b) Compute the log returns of the data. That is, if xt denotes the stock price of dayt compute log xt log xt1. [1](c) Draw a histogram of the log returns. Comment about its shape. [1](d) Fit a distribution to the log returns data that provides an adequate fit (see part(f) below). You may use the R package fitdistrplus to fit distributions. [5](e) Superimpose the fitted PDF on top of the histogram. Comment on how the twomatch. [1](f) Does the distribution provide an adequate fit according to the Kolmogorov Smirnovtest (a goodness of fit test). You can perform the Kolmogorov Smirnov test byusing the R command ks.test. If the p-value returned by the command is above0.05 you may consider the distribution you chose in part (d) as providing anadequate fit. [1][Total 10 marks]1本团队核心人员组成主要包括硅谷工程师、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