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PTS (POINTS) ONLY SHOULD BE ANALYSED
Assessment guide for AT2: Arguments, Evidence and Intuition. 36200 and 36201, Autumn 2021 1 From the Subject Outline: Assessment task 2: Data in the World: A Data Journey Intent: 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 analyze collected data and how to use the data to tell a story. You should draw conclusions based on analysis of your data. We will provide examples of data stories, and you may find additional authentic examples at the subject’s Diigo site: https://groups.diigo.com/group/uts-aei/content/tag/data-story This task contributes to the development of Graduate Attributes 1, 2, 3 and 6. Objective(s): This assessment task addresses subject learning objective(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 or located your data. There are some limitations on the type of data to be used, and you need to have your tutor's approval for your choice of dataset. You should also research and consider external/ independent sources of information on the same theme as your data (e.g., news reports or journal articles). You should then compare and contrast your data, with the external/ independent information. You will submit a written report which will be assessed (described below). You will also engage in formative activities. These will be assessed by your tutor and contribute to the final mark. (10 marks in total). You need to finish all Checkpoint work on a ‘practice dataset’ assigned by tutor in 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 what the story is about. • An introduction to your data story. • Graphical illustrations that you have made yourself, showing the main statistical features 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 36200 Suggested Length: Written report of about 1200 words (excluding appendices and cover sheet) Due: Friday 16 April 2021 FOR STUDENTS IN 36201 Suggested Length: Written report of about 1600 words (excluding appendices and cover sheet) Due: Friday 16 April 2021 https://groups.diigo.com/group/uts-aei/content/tag/data-story Assessment guide for AT2: Arguments, Evidence and Intuition. 36200 and 36201, Autumn 2021 2 PLANNING 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 quantitative variables (numbers) and at least one qualitative variable (categories). You may need more than one set of data to achieve this. Start analysing the data. If you cannot find suitable categorical data, check that you have data appropriate for a pie chart or divided bar chart. Online or Face to Face, latest by Thursday 31st March 2021. Submit your ‘chosen’ dataset online when you are ready. Your tutor will discuss your choice with you if necessary, then approve and record the topic of your data. 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. What additional sources have you found? How much experience did you gain by the above activities? Perform all summaries, calculations, make graphs and charts on your chosen dataset. Analyse and interpret. Check limitations of your dataset. SUBMIT ONLINE YOUR FINISHED ASSIGNMENT Your Excel spreadsheet, AND your written report. Use the appropriate submission links online. LATE ASSIGNMENTS LOSE 10% PER DAY LATE Your submission is automatically date stamped. If the date is 17th April 2021, you lose 10%, if 18th April 2021 you lose 20% and so on. If you need an extension, email USHA with a medical certificate. Extensions of longer than a week require an application for Special Consideration. https://www.uts.edu.au/current-students/managing- your-course/classes-and-assessment/special- circumstances/special IN-CLASS activity: Checkpoint of AT2: Practice analysis on practice datasets (given by tutor in tutorial) in tutorial 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 the CHECKPOINT activity. IT IS YOUR RESPONSIBILITY TO BE PRESENT IN THE TUTORIAL CLASS ON TIME, BY CHECKING AND ACCESSING 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 each group. Everyone in the group must contribute to the work (make statistical summaries, descriptive statistics, make charts and graphs, 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.) You should expect to do this Checkpoint work on the ‘practice data set’ with other students – tutors will be on hand to answer questions but are not leading the work. Tutor will collect attendance at an appropriate time during the hour. If you miss the tutorial, 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 tech issues) on Monday 29th March. Your tutor will record YOUR GROUP mark afterwards. Evening tutorial groups will run in a similar manner 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 in the 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 the dataset and what can be an interpretation of the above correlation.) https://www.uts.edu.au/current-students/managing-your-course/classes-and-assessment/special-circumstances/special https://www.uts.edu.au/current-students/managing-your-course/classes-and-assessment/special-circumstances/special https://www.uts.edu.au/current-students/managing-your-course/classes-and-assessment/special-circumstances/special Assessment guide for AT2: Arguments, Evidence and Intuition. 36200 and 36201, Autumn 2021 3 LIMITATIONS AND PROHIBITIONS FOR YOUR CHOICE OF DATASET This is an INDIVIDUAL and ORIGINAL assignment. Your tutor will ensure that your choice is not the same as others 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 assignment yourself, not drawing on the work of students who have already completed this subject. Type 1 Choose a country (or an Australian State or Australian city) and then a topic in that country or compare two countries (states or cities). Topics for 2021 are limited to these ideas if choosing the Country by country (State by State, if AUSTRALIA) option: Vocational education, Telehealth, Blood banks, Indigenous perspectives, Tree change/ Sea change, Nature, Waterways, Heritage related Professional accrediting bodies (e.g., Royal Australasian College of Surgeons, Australian Medical Association, Engineers Australia, CPA, CFA Institute, etc….), Agriculture, Pet animals, Clean-up Australia day, World Music day activities, Mountaineering. These topics are prohibited as they have been used frequently in recent semesters: All related to COVID, ANY vaccine (related), Online learning, Work from home, Smart cities, Gender pay gap, Mobile phones, corruption indices, corporate transparency 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 of households, Remittances (Guest workers in one country sending money back to their home country), Gambling, Australia day, US elections. Type 2 United Nations, its major wings and activities around the world Type 3 Sports related, Ancient art forms, Musical instruments. They may be located in the same city, or not! Tell a data story of contrasts. Type 4 If 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)