SOLUTION: Numeracy and Data Analysis | My Assignment Tutor

London School of Commerce In association with theUniversity of SuffolkAssignment Brief Course/Programme:BABS FoundationLevel:3Module Title:Numeracy and Data AnalysisAssignment title:Data Analysis and ForecastingWeighting:Individual Assignment : 30% of overall module gradeEnd of Term Exam : 70% of overall module gradeDate given out:April 2021Submission date:4th May 2021Eligible for late submission (3working days, with penalty)?Yes / NoMethod of submission:XOnline onlyOnline and papercopySpecial instructions forsubmission (if any):Data Source to be specified.Date for results and feedback:Employability skills assessed:● Applications of summarising and analysing data.● Logical Reasoning.● Ability to understand and apply forecastingtechniques to real life situations.Learning outcomes assessed:● Identify and apply techniques for summarisingand analysing data.● Show reasonableness in the calculation ofanswers.● Demonstrate and analyse techniques used forforecasting. LSC_UoS Foundation in Business _Numeracy and Data Analysis Assignment1 Referencing:In the main body of your submission you must provide correct Harvardreferences from where you collected weather data for ten days. Append toyour submission a reference list that in order to complete this assignment(e.g. for books: surname of author and initials, year of publication, title ofbook, edition, publisher: place of publication). Assignment Mark (Assessment marks are subject toratification at the Assessment Board.These comments and marks are to give feedback on module workand are for guidance only until they are confirmed. )Late Submission Penalties (X if appropriate)Capped atUp 72 hours lateX40%Over 72 hours late100% LSC_UoS Foundation in Business _Numeracy and Data Analysis Assignment2 TASK DESCRIPTION – INDIVIDUAL ASSIGNMENT: DATA ANALYSISTECHNIQUES Assignment brief:You are required to collect the amount of money you spend on transport for tenconsecutive months. Once you have collected the data for ten months, you are required toprepare a report undertaking followings:1. Arrange the data in a table format. (5 marks)2. Present the data using any two types of charts of your choice. Example: Column chart, barchart, scatter plot, line chart, pictograms, histograms etc. (10 marks)3. Calculate and discuss the followings. Please provide the steps for the calculation andhighlight the final value.I. Mean (8 marks)II. Median (8 marks)III. Mode (8 marks)IV. Range (8 marks)V.Standard Deviation (13 marks)4. For your data, use the linear forecasting model which is y = mx + c to calculate and discussthe followings:I. Show the steps of calculation of m value and discuss the answer. (15 marks)II. Show the steps of calculation of c value and discuss the answer. (15 marks)III. Using the calculated ‘m’ and ‘c’ values, forecast the number of text messagessending on month 14 and month 16. (10 marks)LSC_UoS Foundation in Business _Numeracy and Data Analysis Assignment3Length RequiredApproximately 1000 words, with data sources clearly cited.Formatting and LayoutPlease note the following when completing your written assignment:1. Writing: Written in English using appropriate business/academic style2. Focus: Focus only on the tasks set in the assignment.3. Length: Approximately 1000 words4. Document format: Individual Assignment I.Cover page – Ensure a clear title, course, name and student ID number is onthe cover sheet.Table of Contents – Provide headings with appropriate page numbers.Main Body – Attempt all the given tasks.Reference list using Harvard Referencing Style.II.III.IV. LSC_UoS Foundation in Business _Numeracy and Data Analysis Assignment4MARKING CRITERIA AND STUDENT FEEDBACK – ASSIGNMENTThis section details the assessment criteria. The extent to which these are demonstrated by you determinesyour mark. The marks available for each criterion are shown. Lecturers will use the space provided to commenton the achievement of the task(s), including those areas in which you have performed well and areas thatwould benefit from development/improvement. Common Assessment Criteria AppliedMarksavailableM a r k s M a r k s A w a r d e dArrange the collected number of text messages data in a table format5Present the data using any two type of charts(Presentation of each chart is awarded 5 marks)10Calculation and Discussion of followings:MeanMedianModeRangeStandard Deviation8 8 8 813Calculation of Followings:Steps of calculation of ‘m’ value and discussionSteps of calculation of ‘c’ value and discussionForecasting the number of text messages sending on day 11Forecasting the number of text messages sending on day 1515155 5Total Marks100 LSC_UoS Foundation in Business _Numeracy and Data Analysis Assignment5LSC_UoS Foundation in Business _Numeracy and Data Analysis Assignment6LEVEL 3 INDICATIVE PERFORMANCE INDICATORS An outstandingDistinction90 – 100Work which fulfils all the criteria of the grade below, but at an exceptional standard.A very strongdistinction80 – 89Work of distinguished quality which is based on a rigorous and broad knowledge base,and demonstrating sustained ability to analyse, synthesise, evaluate and interpretconcepts, principles and data within field of study, using defined principles, techniquesand/or standard formats and applications. This will form the basis for the developmentof sound arguments and judgements appropriate to the field of study/ assessment task.There will be strong evidence of competence across a range of specialised skills, usingthem to plan, develop and evaluate problem solving strategies, and of the capability tooperate autonomously and self-evaluate with guidance in varied structured contexts.Outputs will be communicated effectively, accurately and reliably.A clear Distinction71 – 79Work of very good quality which displays most but not all of the criteria for the gradeabove.A Distinction70Work of highly commendable quality which clearly fulfils the criteria for the gradebelow, but shows a greater degree of capability in relevant intellectual/subject/keyskills.A very strong Merit67 – 69Work of commendable quality based on a strong factual/conceptual knowledge basefor the field of study, including an assured grasp of concepts and principles, togetherwith effective deployment of skills relevant to the discipline and assessment task.There will be clear evidence of analysis, synthesis, evaluation and application, and theability to work effectively within defined guidelines to meet defined objectives. Therewill be consistent evidence of capability in all relevant subject based and key skills,including the ability to self-evaluate and work autonomously under guidance and to useeffectively specified standard techniques in appropriate contexts.A strong merit64 – 66Work of good quality which contains most, but not all of the characteristics of the gradeabove.A clear Merit61 – 63Work which clearly fulfils all the criteria of the grade below, but shows a greater degreeof capability in relevant intellectual/subject/key skills.Merit60Work of sound quality based on a firm factual/ conceptual knowledge base for the fieldof study, demonstrating a good grasp of relevant principles/concepts, together with theability to organise and communicate effectively. The work may be rather standard, butwill be mostly accurate and provide some evidence of the ability to analyse, synthesise,evaluate and apply standard methods/techniques, under guidance. There will be noserious omissions or inaccuracies. There will be good evidence of ability to takeresponsibility for own learning, to operate with limited autonomy in predictabledefined contexts, selecting and using relevant techniques, and to demonstratecompetence in relevant key skills.A very strong Pass55 – 59Work of capable quality which contains some of the characteristics of grade above. LSC_UoS Foundation in Business _Numeracy and Data Analysis Assignment7 A strong Pass50 – 54Work of satisfactory quality demonstrating a reliable knowledge base and evidence ofdeveloped key skills and/or subject based skills, but containing limited evidence ofanalysis, synthesis, evaluation or application.A Pass41 – 49Work of broadly satisfactory quality covering adequately the factual and/or conceptualknowledge base of the field of study and appropriately presented and organised, but isprimarily descriptive or derivative, with only occasional evidence of analysis, synthesis,evaluation or application. There may be some misunderstanding of keyconcepts/principles and limitations in the ability to select relevant material ortechniques and/or in communication or other relevant skills, so that the work mayinclude some errors, omissions or irrelevancies. There will be evidence of ability tooperate with limited autonomy in predictable defined contexts, using standardtechniques, and to meet threshold standards in relevant key skills.A bare Pass40Work of bare pass standard demonstrating some familiarity with and grasp of afactual/conceptual knowledge base for the field of study, together with evidence ofsome ability to employ specialist skills to solve problems within area of study, but onlyjust meeting threshold standards in e.g. evaluation and interpretation of data andinformation, reasoning and soundness of judgment, communication, application, orquality of outputs. Work may be characterised by some significant errors, omissions orproblems, but there will be sufficient evidence of development and competence tooperate in specified contexts taking responsibility for the nature and quality of outputs.A marginal Fail30 – 39Work which indicates some evidence of engagement with area of study in relation toacquisition of knowledge and understanding of concepts and principles, and ofspecialist skills, but which is essentially misinterpreted, and misapplied and/or containssome significant omission or misunderstanding, or otherwise just fails to meetthreshold standards in e.g. communication, application or quality of outputs.A Fail20 – 29Work that falls well short of the threshold standards in relation to one or more area ofknowledge, intellectual, subject based or key skills. It may address the assessment taskto some extent, or include evidence of successful engagement with some of the subjectmatter, but such satisfactory characteristics will be clearly outweighed by majordeficiencies across remaining areas.A comprehensiveFail0 – 19Work of poor quality which is based on only minimal understanding, application oreffort. It will offer only very limited evidence of familiarity with knowledge or skillsappropriate to the field of study or task and/or demonstrate inadequate capability inkey skills essential to the task concerned.Non-submission/Nilattempt0Nothing, or nothing of merit, presented. LSC_UoS Foundation in Business _Numeracy and Data Analysis Assignment8