Statistical Methods in R:Assessment InformationCoursework Title: Computer AssignmentsModule Name: Statistical methods in RModule Code: 7011DATASCILevel: 7Credit Rating: 20Weighting: 70%Maximum mark available: 140 Lecturer:Contact:Daniel PerleyEmail: [email protected]Office: Liverpool Science Park IC2, Room 322 Hand-out Date: Continuous, see individual sections Hand-in Date:Hand-in Method:Continuous, see individual sectionsCanvas Feedback Date:Feedback Method:Continuous, see individual sectionsCanvas Learning outcomes to be assessed• Understanding of fundamental statistical principles• Familiarity with the basics of the R language• Ability to formulate hypotheses and draw preliminary inferences from data using plotsand inspection• Understanding of the importance of sample size and replication• Ability to draw formal inferences from data using statistical tests within R and calculatemeasures of confidence• Understanding of assumptions behind common statistical procedures, and ability toidentify and respond to situations in data where these assumptions are not met• Ability to choose the appropriate statistical methodology for different types of data andapply it (in R) to test hypotheses and draw conclusionsDetail of the taskThe coursework involves a variety of questions. Most of these involve reading in sample datasets in R, performing preliminary inspection of the data, carrying out a variety of statisticaltasks, and explaining the results. Additionally, a few questions directly assess student’sknowledge of simple statistical principles/terms. Work will be staged continuously throughoutthe semester, with due dates for each set of tasks generally coming at the end of the weekafter they are first distributed. Questions on a common data set are grouped into problems;each assignment (set of problems with a common due date) consists of 3 to 4 problems.Submission formatAll assessment submissions will be via Canvas. For each problem, students should submittwo files:(1) A report containing the solutions to each question. This should include a shortexplanation of what you did (a single sentence is often sufficient), any relevant codeinput/output, and (depending on the question) a numerical answer and/or a brief discussion ofyour interpretation/conclusion. This should be submitted in PDF format (.pdf) as a singledocument. There is a page limit on the length of each report; marks will be deducted forsubmissions exceeding the limit (10% deduction for each excess page, up to 50% maximum).(2) Supporting Rmarkdown code. This should be the Rmarkdown code file (.rmd) used tocompose your report. It should be possible for the instructor to run the code independently ona different computer. One code file should be submitted per problem.Your report should be prepared in Rmarkdown (available at https://rmarkdown.rstudio.com/),which is integrated with Rstudio and allows you to embed functional code and output directlyin your report. If you are comfortable with advanced features in Rmarkdown, it is possible togenerate a complete, submittable report PDF file directly from Rstudio. Alternatively, Rstudiocan generate a Word document (.docx) which can then be edited/reformatted to your likingand converted to PDF using Microsoft Word.Policy on co-operation, assistance, and misconductYou may consult standard resources in responding to the assessment questions, including thetext and online resources. You are also permitted to ask the instructor, other students in thecourse, or anyone else with general questions about the underlying concepts, to requestguidance about the best approach to solve a type of problem (e.g., “what R function do youuse to do nonlinear regression?”), or for aid in avoiding stumbling blocks encountered (e.g.:code crashes, result does not make sense, etc.)However, all work provided and submitted must be your own. In particular, you are notpermitted to request or to share answers to specific questions. This includes sharing thecode (or code snippets) used to answer specific problems (or parts of problems), even if youare just showing it on a computer monitor. Assessment questions are to be answeredindividually, not cooperatively. If seeking aid from a classmate about a question related to anassessment, you should behave as if they’ve never seen (and aren’t allowed to see) the actualspecific question. If there is any doubt, ask your instructor (who is happy to provide advice inany case!)The Faculty takes academic misconduct seriously and suspected cases will be investigatedaccording to the University’s standard policy: https://www.ljmu.ac.uk/about-us/publicinformation/student-regulations/academic-misconductExtenuating CircumstancesIf something serious happens that means that you will not be able to complete an assignment,it is important need to contact the module leader as soon as possible. There are a number ofthings that can be done to help, such as extensions, waivers and alternative assessments, butwe can only arrange this if you tell us.To ensure that the system is not abused, you will need to provide some evidence of theproblem. If your request is related to COVID-19 exposure or symptoms, a copy of your testresult or isolation notice or a description of symptoms will suffice.More guidance is available at https://www.ljmu.ac.uk/about-us/public-information/studentregulations/guidance-policy-and-processMark summary table and proposed schedule:Note: Dates and mark values may be subject to change. Check the assignment files as theyare posted for up-to-date information.Problem Mark Assigned DueAssignment 1 (40 marks) Problem 1:Problem 2:Problem 3:Problem 4:Assignment 2 (50 marks)Problem 5:Problem 6:Problem 7:Assignment 3 (50 marks)Problem 8:Problem 9:Problem 10:Total marks awarded:/ 10/ 10/ 10/ 1012 Oct12 Oct12 Oct12 Oct28 Oct28 Oct28 Oct28 Oct/ 10/ 15/ 252 Nov2 Nov2 Nov18 Nov18 Nov18 Nov/ 25/ 15/ 10/ 14023 Nov23 Nov23 Nov17 Dec17 Dec17 Dec Feedback will generally be returned within 2 weeks of the due dates. All prerequisitematerials (Computer Labs and/or the R Syntax Quiz) must be completed to receive a markfor an assignment.Late submissions will not be considered. Extensions to the deadline can be granted only byprior approval, and only in exceptional circumstances with supporting documentation.Requests for extensions on the day of the deadline will be granted only in emergencysituations.
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