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evaluate and critically apply appropriate statistical analysis, with the aid of computer packages, to business and management data for business decision‐making

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Faculty of Business and Law Assignment Brief Mode E and R Regulations Module Title: Business Statistics Assignment Number CW2 Module Code: 7034SSL Assignment Title Individual Report Module Leader: Selman Karagoz Assignment Credits 10 Credits Release Date: 13/09/21 Submission Date/Time: 03/12/21 – 18:00 Submission Time and Place: Submission through Turnitin ONLY Assessment Information This assignment is designed to assess learning outcomes (LOs) 1, 2, 3, 4, 5. The five LOs comprise the following: 1. Identify and evaluate the main features of a data set. 
 2. Critically discuss the strengths and weaknesses of a particular statistical approach and the practical implications of a statistical analysis. 
 3. Evaluate and critically apply appropriate statistical analysis, with the aid of computer packages, to business and management data for business decision‐making. 
 4. Interpret and professionally communicate statistical analysis findings to non‐specialists within a business. 5. Make critical judgments on business cases and provide suggestions and advice to the business based on their statistical analysis & findings. 
 This assignment is an individual assignment. This assignment requires you to write a 2500 word report on the task given below. Task Background Investigating and understanding UK university performance The Complete University Guide has been published annually since 2008. The UK data for 2021 has already been downloaded and is available. You are advised to read the supporting materials from the ‘Complete University Guide website for these data such as “University and subject league tables methodology”. https://www.thecompleteuniversityguide.co.uk/sector/insights/university-and-subject-league-tables-methodology For this assignment, you should only use the data provided for 2021, which has been downloaded for you. You are required to assess and investigate university performance in the UK. You should not break the data down into subject areas or groups. Task Requirements 1. Critically apply descriptive statistics to summarise the entire 2021 dataset. 2. Interpret and critically discuss your descriptive statistics findings and present preliminary conclusions about university performance. 3. Critically apply hypothesis testing to examine differences/relationships that you consider relevant for making decisions on university performance. Develop hypotheses from your preliminary analysis, wider research and thinking and test these using the data set given above by the statistical techniques listed below at a significance level of 5%. Explain why the proposed hypotheses can be appropriately tested by these statistical techniques. Also, conclude with your decision based on your hypothesis. a) Chi-Square test b) One Way ANOVA test c) Linear regression analysis. The Output Present your analysis/findings in the form of a report summarizing your findings on university performance. Support your report with essential software output (charts and tables) and attach all supplementary technical material and software output in a well-organised appendix. You will be assessed on whether the hypotheses and chosen tests are suitable for the types of the variable selected. Your analyses, explanations, and summary of the findings will also be evaluated. Criteria for Assessment 1. Appropriateness of the explanation and presentation of the descriptive statistics (25%) 2. Appropriateness of the proposed hypotheses and the decision taken based on these hypotheses (10%) 3. The reasons for applying Chi-square to evaluate the corresponding hypotheses (10%) 4. The critical analysis of the Chi-square test (10%) 5. The reasons for applying one-way ANOVA to evaluate the corresponding hypotheses (10%) 6. The critical analysis of the one-way ANOVA (10%) 7. The reasons for applying linear regression analysis to evaluate the corresponding hypotheses (10%) 8. The critical analysis of the linear regression analysis (10%) 9. Appropriate evidence, professional representation and adequate referencing (5%) Particular instructions/reminders to students: • Your work must be in report format • Use font size 12. • Margins: Top and Bottom 2.54cm and Right and Left: 2cm • Your assignments must be submitted online via Turnitin facility, by the stated deadline. • Please make sure that you know how to use the Turnitin online submission facility before the submission date. Word Count The word count is 2500. There will be a penalty of a deduction of 10% of the mark (after internal moderation) for work exceeding the word limit by 10% or more. The word limit includes quotations but excludes the bibliography. How to submit your assessment The assessment must be submitted by 18:00 on 03/12/21. No paper copies are required. You can access the submission link through the module web. • Your coursework will be given a zero mark if you do not submit a copy through Turnitin. Please take care to ensure that you have fully submitted your work. • Please ensure that you have submitted your work using the correct file format, unreadable files will receive a mark of zero. The Faculty accepts Microsoft Office and PDF documents unless otherwise advised by the module leader. • All work submitted after the submission deadline without a valid and approved reason (see below) will be given a mark of zero. • The University wants you to do your best. However we know that sometimes events happen which mean that you can’t submit your coursework by the deadline – these events should be beyond your control and not easy to predict. If this happens, you can apply for an extension to your deadline for up to two weeks, or if you need longer, you can apply for a deferral, which takes you to the next assessment period (for example, to the resit period following the main Assessment Boards). You must apply before the deadline. You will find information about the process and what is or is not considered to be an event beyond your control at https://share.coventry.ac.uk/students/Registry/Pages/Deferrals-and-Extension.aspx • Students MUST keep a copy and/or an electronic file of their assignment. • Checks will be made on your work using anti-plagiarism software and approved plagiarism checking websites. GUIDELINES AND BACKGROUND TO THIS ASSIGNMENT Plagiarism As part of your study you will be involved in carrying out research and using this when writing up your coursework. It is important that you correctly acknowledge someone else’s writing, thoughts or ideas and that you do not attempt to pass this off as your own work. Doing so is known as plagiarism. It is not acceptable to copy from another source without acknowledging that it is someone else’s writing or thinking. This includes using paraphrasing as well as direct quotations. You are expected to correctly cite and reference the works of others. The Centre for Academic Writing provides documents to help you get this right. If you are unsure, please visit www.coventry.ac.uk/caw. You can also check your understanding of academic conduct by completing the Good Academic Practice quiz. Self-plagiarism or reuse of work previously submitted You must not submit work for assessment that you have already submitted (partially or in full), either for your current course or for another qualification of this and any other university, unless this is specifically provided for in your assignment brief or specific course or module information. Where earlier work by you is citable, ie. it has already been published/submitted, you must reference it clearly. Identical pieces of work submitted concurrently will also be considered to be self-plagiarism. Self-plagiarism is unacceptable because you cannot gain credit for the same work twice. The University VLE includes a plagiarism detection system and assessors are experienced enough to recognise plagiarism when it occurs. Copying another student’s work, using previous work of your own or copying large sections from a book or the internet are examples of plagiarism and carry serious consequences. If you are a business student and joined Coventry University in September 2020 or later please use APA 7th edition referencing, if you joined prior to this date you may use APA or the existing Harvard Reference Style (Coventry version) that you are familiar with. Law students should use OSCOLA. Please be consistent in the referencing style that you use and use it correctly to avoid a case of plagiarism or cheating being brought. If you are unsure, please contact the Centre for Academic Writing, your Progress Coach or a member of the course team. Return of Marked Work You can expect to have marked work returned to you 10 working days after the submission date. If for any reason there is a delay you will be kept informed. Marks and feedback will be provided online. As always, marks will have been internally moderated only, and will therefore be provisional; your mark will be formally agreed later in the year once the external examiner has completed their review.   Marking and Assessment Scheme (note the descriptors use generic terminology) Mark Range Guidelines 70 - 100% In order to secure a mark in this range, a candidate must submit an outstanding answer that could hardly be bettered. In addition to the criteria identified below for a mark between 70‐85%, an answer scoring a mark of 85‐100% would show an excellent level of understanding and critical/analytic skills and originality. For example, such an answer would include new insights into Business Statistics which are not drawn from the literature but from the student's own critical thinking, and which add something to the existing literature. An essay in this range will demonstrate a strong understanding of theories, concepts and issues relating to Business statistics. There will be evidence of wide‐ranging reading from a variety of valid sources (as described and presented in the marking criteria for 60‐69%). The assignment must be written in a clear, well‐structured way with a coherent and seamless flow and show evidence of independent, critical thought. It must show extensive relevant reading on the subject and intelligent use of the material to present a well‐balanced and well‐ argued assignment. For example, the student will have considered a range of relevant issues and be able to assess the strength and weaknesses of various approaches/arguments and put forward a confident and articulate view of their own. 60 - 69% An essay in this mark range will demonstrate a good understanding of the requirements of the assignment and of theories, concepts and issues relating to Business Statistics. An assignment in this percentage range will include a balanced discussion of issues central to the question, how these are addressed by different authors or sources and some critical thinking into their relative merits or shortcomings.
The answer will be contain few errors and little, if any, irrelevant material. It will show evidence of reading from a variety of sources (i.e. more than 3 or 4) but not so many sources that the discussion loses focus and becomes unclear or irrelevant. All sources should be of some academic merit (e.g. books, journals, reports, media publications). Unreferenced material from non‐credible internet sources MUST be avoided. All sources must be included and properly referenced in the references. The assignment will be well‐organised. 50 – 59% The answer will demonstrate some reasonable understanding of relevant theories, concepts and issues relating to Business Statistics but also some minor errors of fact or understanding.
The assignment will not be based on an extensive range of sources (for example few references are included), or much evidence that they have been read closely or well‐understood. For example, the assignment will retell sources rather than analyse them. The assignment may be quite general in part. Some errors may be present and some irrelevant material may be included.
The essay may not be particularly well‐structured, and/or clearly presented and contain some spelling mistakes and grammatical errors 40 – 49% A mark within this percentage range will be given to an essay which: • Shows some limited basic understanding of the subject but is incomplete. For example, if it answers one part of a question but 
not the rest. 
 • Makes only very general statements. • Includes some factual errors or misunderstandings e.g. confusion 
between different companies or misuse of certain key terms. • Shows limited use of material with limited reading/research on the topic and includes only a very small number of references, not all of 
which are included in the references • Includes spelling mistakes, is poorly structured with no clear 
argument and grammar mistakes making it difficult to understand. • Includes some irrelevant material. 
 35 - 39% A mark within this percentage range will be given to an assignment which: • Includes only a limited amount of relevant material. 
 • Shows little evidence of reading/research on the topic. For 
example, the essay includes only very few references, and relies 
only on material or case studies used during the course. 
 • Shows only a very basic understanding of the subject. 
 • Is poorly presented with bad grammar, some spelling mistakes and 
an incomplete reference list. 
 • Has a poor structure and does not flow e.g. if there is no conclusion 
or new facts are introduced in the conclusion rather than introduction or main discussion. • Contains some fundamental errors. 20 – 34% A poor fail on this assignment means the assignment submitted: • Is poor and suggests that the student has spent very little time on it e.g. if the answer is considerably under the word requirement and/or presented in note form rather than as a fully written up 
essay. 
 • Bears little relation to the assignment topic. 
 • Shows a poor understanding of theories, concepts and issues 
relating to Business Statistics and to the learning outcomes detailed 
in this document. • Contains some or many fundamental errors and misunderstandings 
of the academic or other material used. For example many of the 
facts cited are incorrect. • Uses literature or other material, which is largely irrelevant or has no 
academic value. • Is poorly structured and poorly presented. For example, sentences 
may be hard to understand and contain many spelling or 
grammatical mistakes. • Contains no references. 
 0 – 19% Work within this mark range shows a complete failure to meet the requirements of the assignment. A mark in this range will be given for an essay which: • Is below 500 words in length. 
 • Bears no link to the question chosen and shows very little or no knowledge or understanding of any of the theories, concepts and issues relating to Business Statistics The answer may be fundamentally wrong or trivial. 
 • Contains no references and/or evidence of relevant reading. 
 • Shows little understanding of the requirements of the assignment 
and only a vague knowledge of the subject area. 
 • Includes numerous fundamental errors in the understanding or 
presentation of the material discussed. There is a general lack of facts/evidence and what is provided is mostly incorrect and/or irrelevant. 
 • Is poorly structured and poorly presented. Spelling and grammar are poor. Many sentences are incomprehensible. 
 • The examiners do not feel could be described as a serious attempt by any reasonable standards

(5/5)
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