ABN 49 003 577 302 CRICOS Code: 00161E National Code: 90458 TEQSA Provider Number: PRV12051 Assessment Brief : Written Assignment Course Bachelor of Business / Bachelor of Accounting Unit Business Information Analysis Unit Code B01BITA308 Type of Assessment Assessment – Written Assignment Length / duration Release: Week 3, and Submission: Week 11 Learning outcomes addressed a. Have a basic understanding of statistics. b. Comprehend the relevance of statistics in the functional areas of business such as Accounting, Finance, Information Systems, Management, and Marketing. c. Apply statistical techniques using MS Excel and PHStat for data analysis d. Analyse data using statistical techniques and interpret results in a managerial context. e. Synthesise results and make decisions in business. Submission Date Week 11 (Specific date and time will be notified on due time in the class and on Moodle) Assessment Brief Students will be given a set of specific business problems and data support. Students will have to solve the business problems and make decision to support business management. The assignment requires a considerable application of statistical data analysis techniques using MS Excel, to interpret results and make written comments, to synthesise findings to make decision about the business problems. Total Mark 25 Weighting 25% Students are advised that any submissions past the due date incur a 10% penalty per day, calculated from the total mark e.g. a task marked out of 25 will incur a 2.5 mark penalty per day. More information, please refer to the Academic Progression Policies on https://kent.rtomanager.com.au/Staff/StaffControls/StaffPages/Staff_DocView.aspx ABN 49 003 577 302 CRICOS Code: 00161E National Code: 90458 TEQSA Provider Number: PRV12051 Assessment Description: Details assessment description will be released on week 3 in Moodle. Assessment Submission: This is an individual written assignment. All assessment tasks must be completed individually. However, students are encouraged to discuss and consult with other students for learning and understanding purpose only. Students are require to prepare a report in MS Word format. Relevant data analysis output from MS Excel should be copied and pest in MS Word report file. The assignment must be submitted online in Moodle in one file in MS Word format. Other formats (e.g., pdf or MAC file) may not be readable by markers. Please be aware that any assessments submitted in other formats will be considered LATE and will lose marks until it is presented in MS Word. No paper based or hardcopy submission will be accepted. Specific date and time will be notified on due time in the class and also on Moodle. Our Academic Learning Support (ALS) team would be happy to help you with understanding the task and all other assessment-related matters. For assistance and to book one-on-one meeting please email one of our ALS coordinators (Sydney [email protected]; Melbourne [email protected] ). For online help and support please click the following link and navigate Academic Learning Support in Moodle. http://online.kent.edu.au/cms/course/view.php?id=437 ABN 49 003 577 302 CRICOS Code: 00161E National Code: 90458 TEQSA Provider Number: PRV12051 Marking guide : Written Assignment Marking Criteria. Fail Pass Credit Distinction High Distinction Evidences of organising and presenting data /20 Little evidence. No levels and title. Basic and sound evidence. Some levels and title. Good and clear evidence. Clear and appropriate levels and title provided. Very good and clear evidence. Very clear and appropriate levels and title provided. Full evidence. Complete clear and appropriate levels and title provided. Statistical data analysis. /30 Very weak or no analysis are done. Little analysis are done. Good and complete analysis are done. Very good and complete analysis are done. Outstanding level of analysis are done. Interpretation and synthesis of results and findings /30 Very little and weak interpretation and synthesis of results and findings Little interpretation and synthesis of results and findings Good interpretation and synthesis of results and findings Very good interpretation and synthesis of results and findings Outstanding interpretation and synthesis of results and findings Managerial contributions in decision making /20 Very little managerial contributions in decision making Little managerial contributions in decision making Good managerial contributions in decision making Very good managerial contributions in decision making Outstanding managerial contributions in decision making ABN 49 003 577 302 CRICOS Code: 00161E National Code: 90458 TEQSA Provider Number: PRV12051 General notes for assignments Assignments should usually incorporate a formal introduction, main points and conclusion, and will be fully referenced including a reference list. The work must be fully referenced with in-text citations and a reference list at the end. We strongly recommend you to refer to the Academic Learning Skills materials available in the Moodle. For details please click the link http://online.kent.edu.au/cms/course/view.php?id=437 and download the file "Harvard Referencing Workbook". Appropriate academic writing and referencing are inevitable academic skills that you must develop and demonstrate. We recommend a minimum of FIVE references, unless instructed differently by your lecturer. Unless specifically instructed otherwise by your lecturer, any paper with less than FIVE references may be failed. Work that includes sources that are not properly referenced according to the "Harvard Referencing Workbook" will be penalised. Marks will be deducted for failure to adhere to the word count – as a general rule you may go over or under by 10% than the stated length. General Notes for Referencing High quality work must be fully referenced with in-text citations and a reference list at the end. We recommend you work with your Academic Learning Skills site (http://online.kent.edu.au/cms/course/view.php?id=437) available in Moodle to ensure that you reference correctly. References are assessed for their quality. You should draw on quality academic sources, such as books, chapters from edited books, journals etc. Your textbook can be used as a reference, but not the lecturer notes. We want to see evidence that you are capable of conducting your own research. Also, in order to help markers determine students' understanding of the work they cite, all in-text references (not just direct quotes) must include the specific page number/s if shown in the original. Before preparing your assignment or own contribution, please review this YouTube video by clicking on the following link: Plagiarism: How to avoid it ABN 49 003 577 302 CRICOS Code: 00161E National Code: 90458 TEQSA Provider Number: PRV12051 You can search for peer-reviewed journal articles, which you can find in the online journal databases and which can be accessed from the library homepage. Wikipedia, online dictionaries and online encyclopedias are acceptable as a starting point to gain knowledge about a topic, but should not be overused – these should constitute no more than 10% of your total list of references/sources. Additional information and literature can be used where these are produced by legitimate sources, such as government departments, research institutes such as the NHMRC, or international organisations such as the World Health Organisation (WHO). Legitimate organisations and government departments produce peer reviewed reports and articles and are therefore very useful and mostly very current. The content of the following link explains why it is not acceptable to use nonpeer reviewed websites: Why can't I just Google? (thanks to La Trobe University for this video).