Assessment guide for AT2: Arguments, Evidence and Intuition. 36200 and 36201, Autumn 20211 From the Subject Outline:Assessment task 2: Data in the World: A Data JourneyIntent: This task requires you to analyze data to tell a story that is of personal or professional interest to you.You will apply the statistical and communication skills developed in … Continue reading “Arguments, Evidence and Intuition | My Assignment Tutor”
Assessment guide for AT2: Arguments, Evidence and Intuition. 36200 and 36201, Autumn 20211 From the Subject Outline:Assessment task 2: Data in the World: A Data JourneyIntent: This task requires you to analyze data to tell a story that is of personal or professional interest to you.You will apply the statistical and communication skills developed in the class sessions to the dataset,to tell a story about that data.The purpose of this activity is to give you experience in why and how to find data, how to analyzecollected data and how to use the data to tell a story. You should draw conclusions based on analysisof your data.We will provide examples of data stories, and you may find additional authentic examples at thesubject’s Diigo site: https://groups.diigo.com/group/uts-aei/content/tag/data-storyThis task contributes to the development of Graduate Attributes 1, 2, 3 and 6.Objective(s): This assessment task addresses subject learningobjective(s): 1, 2, 3 and 4.Type: Project. Group work: Individual Weight: 30% Task: You will find data and analyze it to tell a story.You need a short introduction to your data story, including the story of how you collected orlocated your data. There are some limitations on the type of data to be used, and you need tohave your tutor’s approval for your choice of dataset.You should also research and consider external/ independent sources of information on thesame theme as your data (e.g., news reports or journal articles). You should then compare andcontrast your data, with the external/ independent information.You will submit a written report which will be assessed (described below). You will also engagein formative activities. These will be assessed by your tutor and contribute to the final mark. (10marks in total). You need to finish all Checkpoint work on a ‘practice dataset’ assigned by tutorin tutorial time on 29th March.Submission: Written report. Your report will include:• A cover sheet (see last page of this Guide), including a title which clearly shows whatthe story is about.• An introduction to your data story.• Graphical illustrations that you have made yourself, showing the main statisticalfeatures of the data.• The appropriate use of descriptive statistics to summarize the data.• A written analysis of your research on external/independent sources of information.• Conclusions and mention of any limitations.You will also submit separately your Excel file with data, calculations and graphs. FOR STUDENTS IN 36200Suggested Length: Written report of about 1200 words (excluding appendices and cover sheet)Due: Friday 16 April 2021FOR STUDENTS IN 36201Suggested Length: Written report of about 1600 words (excluding appendices and cover sheet)Due: Friday 16 April 2021 Assessment guide for AT2: Arguments, Evidence and Intuition. 36200 and 36201, Autumn 20212PLANNING AND IN-CLASS FORMATIVE ASSESSMENT TASKS: Find your data, get it approved, begin preliminary analysis:You need at least 40 rows of data, with at least two quantitativevariables (numbers) and at least one qualitative variable(categories). You may need more than one set of data to achievethis. Start analysing the data. If you cannot find suitablecategorical data, check that you have data appropriate for a piechart or divided bar chart.Online or Face to Face, latest by Thursday 31st March2021. Submit your ‘chosen’ dataset online when you areready. Your tutor will discuss your choice with you ifnecessary, then approve and record the topic of yourdata. Please note the help available in MSSC (Maths &Science Study Centre.)Work on the data set you have been approved for:Think about the kind of data story you are going to write. Whatadditional sources have you found? How much experience did yougain by the above activities?Perform all summaries, calculations, make graphs and chartson your chosen dataset. Analyse and interpret. Checklimitations of your dataset.SUBMIT ONLINE YOUR FINISHED ASSIGNMENTYour Excel spreadsheet, AND your written report.Use the appropriate submission links online.LATE ASSIGNMENTS LOSE 10% PER DAY LATEYour submission is automatically date stamped. If the date is 17thApril 2021, you lose 10%, if 18th April 2021 you lose 20% and soon.If you need an extension, email USHA with a medicalcertificate. Extensions of longer than a week require anapplication for Special Consideration.https://www.uts.edu.au/current-students/managingyour-course/classes-and-assessment/specialcircumstances/special IN-CLASS activity: Checkpoint of AT2: Practice analysis on practice datasets (given by tutor in tutorial) intutorial time on 29th March. This is worth up to 10 marks of the assignment total (30).PLEASE DOUBLECHECK WITH YOUR TUTOR IF THEY HAVE ORGANISED A SESSION ON ZOOM OR MS TEAMS on that day to run theCHECKPOINT activity. IT IS YOUR RESPONSIBILITY TO BE PRESENT IN THE TUTORIAL CLASS ON TIME, BY CHECKING ANDACCESSING THE CORRECT LINK TO YOUR ONLINE TUTORIAL.Your online tutorial class WILL BE RANDOMLY SPLIT into smaller groups by your tutor. A ‘practice dataset’ will be given to eachgroup. Everyone in the group must contribute to the work (make statistical summaries, descriptive statistics, make charts andgraphs, write analysis), during the tutorial hour and then submit the excel file to CANVAS.Everyone in the group is awarded the same mark. The group needs to assign a member to submit the completed file on CANVAS.(You will receive a mark ONLY if you participate in the full length of the CHECKPOINT work during tutorial on 29th March.) Youshould expect to do this Checkpoint work on the ‘practice data set’ with other students – tutors will be on hand to answerquestions but are not leading the work. Tutor will collect attendance at an appropriate time during the hour. If you miss thetutorial, you must apply to get ‘special consideration’ from the Student services.Your ‘Answer Excel file’ must be submitted by 12.00 pm (however a grace time of extra 15 min is given, in case of any techissues) on Monday 29th March. Your tutor will record YOUR GROUP mark afterwards. Evening tutorial groups will run in a similarmanner and their CANVAS submissions are due by 7.15pm on the same day.TWO ATTEMPTS ARE GIVEN TO SUBMIT ANSWER EXCEL FILE on CANVAS. This may help, if someone submits an incorrect file inthe first attempt. (No submission means NO MARKS. Emailed files will not be considered.)Marking rubric (for your work on Practice Dataset in TUTORIAL):• 1 mark for descriptive statistics for a quantitative variable• 1 mark for five-number summary of a quantitative variable• 1 mark for a histogram or column chart or time series chart of a quantitative variable• 1 mark for a box plot of a quantitative variable• 1 mark for a suitable divided bar chart or pie chart or other suitable type• 1 mark for suitable side by side box plots, or clustered column graphs to show comparisons.• 1 mark for a suitable scatter plot, line of best fit, r^2 and a correct calculation of correlation coefficient• 3 marks for writing analysis of the above (this can be done in a cell in Excel file or as a cell comment). For the best mark,we expect academic writing style, interpretation of what the charts are telling, what limitations could be present in thedataset and what can be an interpretation of the above correlation.)Assessment guide for AT2: Arguments, Evidence and Intuition. 36200 and 36201, Autumn 20213LIMITATIONS AND PROHIBITIONS FOR YOUR CHOICE OF DATASETThis is an INDIVIDUAL and ORIGINAL assignment. Your tutor will ensure that your choice is not the same asothers in your tutorial group, and we will be alert for similarities across TUTORIAL groups.We encourage you to respect academic integrity, which in this case means writing an original assignmentyourself, not drawing on the work of students who have already completed this subject. Type 1Choose a country (or an Australian State or Australian city) and then a topic in that country or comparetwo countries (states or cities).Topics for 2021 are limited to these ideas ifchoosing the Country by country (State byState, if AUSTRALIA) option:Vocational education, Telehealth, Blood banks,Indigenous perspectives, Tree change/ Seachange, Nature, Waterways, Heritage relatedProfessional accrediting bodies (e.g., RoyalAustralasian College of Surgeons, AustralianMedical Association, Engineers Australia, CPA,CFA Institute, etc….), Agriculture, Pet animals,Clean-up Australia day, World Music dayactivities, Mountaineering.These topics are prohibited as they have been usedfrequently in recent semesters:All related to COVID, ANY vaccine (related), Onlinelearning, Work from home, Smart cities, Gender paygap, Mobile phones, corruption indices, corporatetransparency indices, Air pollution, Recycling, Tourism,Distribution of income, Food and Beverage industries,Single use plastics, Extra tax on sugar, Social media e.g.,overuse, influence of social media, Crime statistics,Climate Change. Death of democracy, Composition ofhouseholds, Remittances (Guest workers in onecountry sending money back to their home country),Gambling, Australia day, US elections. Type 2United Nations, its major wings and activities around the world Type 3Sports related, Ancient art forms, Musical instruments.They may be located in the same city, or not! Tell a data story of contrasts.Type 4If you think that your chosen data do not fit into any of the above types (and not something related to‘prohibited types’), please consult your tutor. You must get approval (for your dataset) by due date of 31st March.Please note that it is recommended that datasets need data in last 1-2 years.Assessment guide for AT2: Arguments, Evidence and Intuition. 36200 and 36201, Autumn 20214How will this task be marked?Written reportThe markers will read your written project report online and will choose which category fits for each of the criteria for this task. The criteria arealso on the Subject Outline and are repeated here with a table to show you how the markers will decide your mark for each of the criteria. Thecriteria will be weighted as indicated. Markers – first check that the ‘dataset’ is the approved one as recorded. If not, do not mark the assignment.Criterion 1: Has applied appropriate methods to collate original and external data. Weight 3/20.High DistinctionDistinctionCreditPassFailHas located or created asufficient quantity of data (seePass cell), from a variety ofsources in order to tell aconvincing data story,including the story of how youlocated or collected the data.The data are provided in aspreadsheet submittedseparately.The way the data arepresented shows care andthought, for example labellingand numbering of tables.The location and presentationof the data shows considerableimagination and innovation,and critical thinking.A variety of sources has beenused.Has located or created asufficient quantity of data inorder to tell a convincingdata story, (see Pass cell),including the story of howyou located or collected thedata. The data are providedin a spreadsheet submittedseparately.The way the data arepresented shows care andthought, for examplelabelling and numbering oftables.The location andpresentation of the datashows considerableimagination and innovation.More than one source hasbeen used.Has located or created asufficient quantity of datain order to tell aconvincing data story, (seePass cell), including thestory of how you locatedor collected the data. Thedata are provided in aspreadsheet submittedseparately.The way the data arepresented shows care andthought, for examplelabelling and numbering oftables.Has located or created asufficient quantity of data inorder to tell a data story,including the story of howyou located or collected thedata. The data are providedin a spreadsheet submittedseparately.At least forty rows of data,and at least three variablesshould be recorded. (At leasttwo quantitative variablesand at least one qualitativevariable). This may be inmore than one set.(We need to be able to seeyour data and follow in Excelhow you made your graphsetc.)The source of the data isclearly referenced and canbe checked.If the source of the data isquestionable, the markerwill not continue markingand you will fail the entireassignment.If you have fewer than forty rowsof data with at least threevariables you will score less thanhalf the marks for this criterion.Criterion 2: Has applied key concepts in statistics and probability to draw conclusions from analysis. Weight 4/20.High DistinctionDistinctionCreditPassFailAll of the sentences in theDistinction cell apply, and inaddition:Evidence is provided ofindividual learning beyond thetechniques presented in class,so that it is clear that thestudent has learnt a statisticalconcept or concepts that theydid not know before.All of the sentences in theCredit cell apply, and inaddition:The conclusions follow fromthe data and showconsiderable insight basedon an understanding ofprobability. (Hasappropriately usedstatements like “according tothese data it is likely that…”)Calculations of summarystatistics are shown. Thiscould be done within Excelbut needs to be seen.Has used appropriatesummary statistics tosummarise the data and todraw conclusions. Theconclusions follow fromthe data and are clearlydescribed.Calculations of summarystatistics are shown. Thiscould be done within Excelbut needs to be seen.Summary statistics includesthe five-number summary:the mean, the mode, and thestandard deviation.Has used appropriatesummary statistics tosummarise the data and todraw conclusions, which aremostly appropriate.Calculations of summarystatistics are inadequatelypresented, with few conclusionsdrawn from the data.Summary statistics includes thefive-number summary: anddescriptive statistics (the mean,median, mode, range and thestandard deviation).If there are no tables of statisticsin the word document, you willscore a zero for this criterion. Assessment guide for AT2: Arguments, Evidence and Intuition. 36200 and 36201, Autumn 20215 Criterion 3: Has created graphical and visual representations of data, which are described and analysed. The graphs areinserted into the Word Document and are described near the place where they appear. (Not grouped at the end in anappendix). Weight 4/20.High DistinctionDistinctionCreditPassFailHas created appropriately atleast two kinds of charts, piecharts, column graphs, linegraphs, time series etc.ANDHas created appropriately atleast three kinds of visualdisplay of comparison (e.g.,At least three of: scatter plotto investigate relationshipsbetween two sets ofquantitative data; side-byside box plots, clusteredcolumn graphs, two or moreline graphs on same axes toshow comparisonsClearly written and correctdescription and quantitativeanalysis, including discussionof trends, correlation, andoutliers (if any).Has created appropriately atleast two kinds of chart, piechart, column graph, linegraph, time series etc.ANDHas created appropriately atleast two kinds of visual displayof comparison (e.g., At leasttwo of: scatter plot toinvestigate relationshipsbetween two sets ofquantitative data; side-by-sidebox plots, clustered columngraphs, two or more linegraphs on same axes to showcomparisons.)Clearly written and correctdescription and quantitativeanalysis, including a discussionof trends, and outliers (if any).Has created appropriately atleast two kinds of chart for asingle variable: pie chart,column graph, line graph, timeseries, etc.ANDHas created appropriately atleast two kinds of visual displayof comparison (e.g., At leasttwo of: scatter plot toinvestigate relationshipsbetween two sets ofquantitative data; side-by-sidebox plots, clustered columngraphs, two or more linegraphs on same axes to showcomparisons.)Written description andanalysis are generally clear.Has created appropriately atleast one kind of chart for asingle variable: pie chart, columngraph, line graph, time series etc.ANDHas created appropriately atleast one kind of visual display ofcomparison (e.g., Scatter plot toinvestigate relationshipsbetween two sets of quantitativedata; side-by-side box plots,clustered column graphs, twoline graphs on same axes to showcomparisons.)There may be some errors ormissing labels in graphs, orchoice of kind of graph isincorrect. Written descriptionmay be inadequate.Has made some graphsbut not sufficient asdescribed in the “Pass”cell.If you have not createdany graphs of your own,using the data collected,you will score a zero forthis criterion.Criterion 4: Has demonstrated effective communication skills appropriate to the written genre. Weight 4/20.High DistinctionDistinctionCreditPassFailHas told a convincing datastory. The story is clearlystructured and is based onthe statistical evidence.The links are clear and areeffectively established.The writing is of a very highquality, presenting a clearargument.Has told a convincing datastory. The story is clearlystructured and is based on thestatistical evidence.The links are clear and areeffectively established, butsome irrelevant material maybe included.The writing is clear but thestructure could be improved.Has told a convincing datastory. The story is clearlystructured and links to thestatistical evidence, but somelinks are not clear andirrelevant material may beincluded in a way that detractsfrom the story.Minor errors of grammar andsyntax did not detract from thestory.Has told a data story but thestory is poorly structured andlinks to the statistical evidenceare not clear.Minor errors of grammar andsyntax detract from the story.Has not told aconvincing data story.The story is poorlystructured and does notlink adequately to thestatistical evidence.Major errors of grammarand syntax make thestory unclear.Criterion 5: Has critiqued findings and analysis, drawing on relevant external information to demonstrate thequantitative literacy capacities of informed and ethically aware citizens. (a) (External sources) Weight 3/20.High DistinctionDistinctionCreditPassFailCompares the story to othersources, with references,making judgements thatdemonstrate considerableinsight.Compares the story to othersources, with references,making some soundjudgements.Makes an attempt to comparethe story to other sources, withreferences.Makes an attempt to comparethe story to other sources.If you make no attemptto compare the story toother sources, you willscore a zero on thiscriterion. Criterion 5: Has critiqued findings and analysis, drawing on relevant external information to demonstrate thequantitative literacy capacities of informed and ethically aware citizens. (b) (Limitations) Weight 2/20.High DistinctionDistinctionCreditPassFailDemonstrates a clear andappropriate awareness ofthe limitations of the datastory they have written.Reasons for statementsabout this in their conclusionare well expressed anddemonstrate a deep level ofanalysis.Demonstrates a clear andappropriate awareness of thelimitations of the data storythey have written, givingreasons for statements aboutthis in their conclusion.Demonstrates a soundawareness of the limitations ofthe data story they havewritten.Demonstrates someawareness of thelimitations of the datastory they have written.If you do not demonstrate anawareness of the limitations ofthe data story you havewritten, you will score a zerofor this criterion. Assessment guide for AT2: Arguments, Evidence and Intuition. 36200 and 36201, Autumn 20216Please copy this table and make it your cover sheet for your Word document. (Do not submit a pdf). SUBJECT NUMBER & NAME36200 OR 36201 (Delete one)Arguments, Evidence, and IntuitionNAME OF STUDENTSTUDENT ID NUMBERTutor’s nameASSIGNMENT TITLE (Maximum 10words)(Your personal title, not just “AT2”)ASSESSMENT ITEM NUMBER/ TITLEAT2: Data in the world: A Data JourneyBe sure to save the word document and spreadsheet separately with filenames that identify you clearly.Preferred is last name and student number and AT2, like this (e.g., SMITH12344321AT2).Check that you have included in your Word document.• The link to your data source (if you have searched your own)• Tables of statistics – the five-number summary and the descriptive statistics, with comments.• A selection of your graphs and charts/data visualizations that you have made to illustrate your data story.
