HA1011 APPLIED QUANTITATIVE METHODS – GROUP ASSIGNMENT – T1 2021 HOLMES INSTITUTEFACULTY OFHIGHER EDUCATION Assessment Details and Submission GuidelinesTrimesterT1, 2021Unit CodeHA1011Unit TitleApplied Quantitative MethodsAssessment TypeGroup ReportAssessment TitleGroup Assignment (Report Format)Purpose of theassessment(with ULOMapping)Students are required to demonstrate their understanding of the key concepts, principlesand techniques of business research and statistical analysis, as delivered in the unit fromLecture 1 – 10. The following unit learning outcomes are relevant to this assessment:1. Summarise numerical data and present it both by means of tables and charts.2. Be able to calculate and interpret descriptive summary measures.3. Develop simple regression models and interpret the regression coefficients.4. Understand basic probability concepts.Weight40% of the total assessmentsTotal Marks40 MarksWord limitMaximum 4,000 wordsDue DateWeek 8 – Friday 14th of May, 2021 – Midnight (23.59PM)Late submission incurs penalties of 5 (five) % of the assessment value per calendar dayunless an extension and/or special consideration has been granted by the lecturer priorto the assessment deadline.Submission Guidelines• All work must be submitted on Blackboard by the due date along with acompleted assignment cover page.• Please make sure that your name and surname, student ID, subject name, andcode and lecture’s name are written on the cover sheet of the submittedassignment.• The assignment must be in MS Word format, no spacing, 12-pt Arial font, justifyand 2 cm margins on all four sides of your page with appropriate section headingsand page numbers• Reference sources must be cited in the text of the report, and listed appropriatelyat the end in a reference list using Harvard referencing style. Submitted workshould be your original work showing your creativity. Students need to read andunderstand the Holmes Academic Integrity Policy before they start anyassessment.• (For more information, please refer section to 4.3 Guide to Academic Integrity p27 of the Holmes Student Handbook) Page 2 of 9HA1011 APPLIED QUANTITATIVE METHODS – GROUP ASSIGNMENT – T1 2021 • Always keep an electronic copy until you have received the final grade for theUnit. Please make sure that you submit the correct file. Any appeal relating tosubmitting wrong files after the deadline will not be considered.Adapted Harvard ReferencingHolmes has now implemented a revised Harvard approach to referencing:1. Reference sources in assignments are limited to sources which provide full textaccess to the source’s content for lecturers and markers.2. The Reference list should be located on a separate page at the end of the essayand titled: References.3. It should include the details of all the in-text citations, arranged alphabetically AZ by author surname. In addition, it MUST include a hyperlink to the full text ofthe cited reference source.For example;P Hawking, B McCarthy, A Stein (2004), Second Wave ERP Education, Journal ofInformation Systems Education,Fall, http://jise.org/Volume15/n3/JISEv15n3p327.pdf4. All assignments will require additional in-text reference details which will consistof the surname of the author/authors or name of the authoring body, year ofpublication, page number of content, paragraph where the content can be found.For example;“The company decided to implement an enterprise wide data warehousebusiness intelligence strategies (Hawking et al, 2004, p3(4)).”Non – Adherence to Referencing GuidelinesWhere students do not follow the above guidelines:1. Students who submit assignments which do not comply with the guidelines maybe required to resubmit their assignments or incur penalties for inadequatereferencing.2. Late penalties will apply per day after a student or group has been notified of aresubmission requirements.• Students whose citations are identified as fictitious will be reported for academicmisconduct. *Note: Students are required to form and self-enrol into groups – a maximum of 4 students per group. Youwill not be able to submit your group assignment unless you are OFFICIALLY enrolled into a designated groupin Blackboard. Submit the group assignment as a single document, including the Holmes official COVERSHEET. Once formed, the group membership should not be changed for the duration of the trimester.For help with any group assignment matters, please address your email to the following email address:bbhelpdesk@holmes.edu.au and ensure that your full details (Name, student ID, unit name and number) areincluded. Students must use their Holmes email address.Page 3 of 9HA1011 APPLIED QUANTITATIVE METHODS GROUP ASSIGNMENT T1 2021Assignment SpecificationsPurpose:This group assignment aims to develop students’ understanding of various qualitative andquantitative research methodologies and techniques, which are commonly used in practice. Thisassignment consists of four (4) statistical questions which requires the application of differentstatistical techniques. The main focus of the assignment is on the topics studied from Lecture 1 toLecture 10. This assignment is to be completed as a group assignment, but there are specificindividual components.Assignment Structure:This is an applied assignment. Students have to show that they understand the principles andtechniques taught in this course. Therefore, students are expected to show all the workings, and allproblems must be completed in the format taught in class, the lecture notes or prescribed textbook. Any problems not done in the prescribed format will not be marked, regardless of theultimate correctness of the answer.(Note: The questions and the necessary data are provided under “Assignment and Due date” inthe Blackboard.)Instructions:• Maximum members of a group are 4 and the minimum is 2 members.• Your assignment must be submitted in WORD format only!• When answering questions, wherever required, you should copy/cut and paste the Excel output(e.g., plots, regression output etc.) to show your working/output.• You are required to keep an electronic copy of your submitted assignment to re-submit, in case theoriginal submission is failed and/or you are asked to resubmit.• Please check your email prior to reporting your assignment mark regularly for possiblecommunications due to failure in your submission.Important Notice:All submitted assignments must undergo plagiarism checking through safe-assign prior to beinggraded. Academic misconduct is a serious issue which will be dealt with in accordance with Holmespolicies and procedures. Please refer to the Holmes Student Handbook for more information onAcademic Misconduct or consult with your local campus lecturer if you require more clarification.Page 4 of 9HA1011 APPLIED QUANTITATIVE METHODS – GROUP ASSIGNMENT – T1 2021(NOTE – Students MUST Attempt ALL Questions )Question 1 (8 marks)The median annual personal income by visa stream is presented in the table below.Use this data to answer the following questions a. – d. Visa StreamMedian Income in $2015Median Income in $2017Skilled55,24855,904Family36,97737,413Humanitarian29,80630,365Other PR47,97749,383 Required Tasks:a. Use an appropriate graphical technique to summarize the data above and interpret (2 marks)b. Use an appropriate graphical technique to compare the percentage change of income between2015 and 2017 by Visa stream. (2 marks)c. Comment on your observations in parts (b).(2 marks)d. Explain why you selected the particular graphical technique in part a and b. (2 marks)Question 2 (10 marks)The data in the table below of Statistics group assignment results (in %) by a random sample of theresults of 30 groups were recorded in the table below. 396365686876768584879195949430343931331435383938322728334049 Required Tasks:a. Construct a frequency distribution and a relative frequency distribution for the data. (2 marks)b. Construct a cumulative frequency distribution and a cumulative relative frequency distributionfor the data. (2 marks)c. Plot an Ogive for the data. (2 marks)d. If 50 is the pass mark, what proportion of the groups passed the assignment? (2 marks)e. What proportion of the data is more than 70? (2 marks)Page 5 of 9HA1011 APPLIED QUANTITATIVE METHODS GROUP ASSIGNMENT T1 2021Question 3 (10 marks)This dataset below is a record of amount spent on advertising and the number of items sold.With this dataset, a predictive model can be performed to estimate the items sold from thenumber of cost of advertising. Advertising($)Items Sold401520107014802010212025 Required Tasks:a. Derive the simple linear regression equation (between amount spent on advertisingand the number of items sold). (2 Marks)b. Interpret the slope coefficient and the intercept coefficient. (2 Marks)c. Calculate and interpret the Coefficient of Determination. (2 Marks)d. Calculate and interpret the correlation coefficient. (2 marks)e. Predict number of Items sold when amount spent on advertising is $200 and $60. (2 Marks)Question 4 (10 marks)Use the following table below to answer the 5 (five) questions below: Gender / Student TypeUnder-graduateGraduateMale100460Female240200 Required Tasks: (a)(b)(c)(d)(e)P (Male) (1 mark)P (Under graduate) (1 marks)P (Male OR under graduate) (2 marks)P (Female AND Under graduate)(3 marks)P (Graduate | Female) (3 marks) Page 6 of 9HA1011 APPLIED QUANTITATIVE METHODS – GROUP ASSIGNMENT – T1 2021Assignment Marks and Weighting Marking CriteriaMarks and Weighting1. Selection of an appropriate chart and comparisons madea) Correct graphical representationb) Correct graphical representationc) Comparison of information across groupsd) Clear idea on selecting suitable chart types8 marks 8%2 marks2 marks2 marks2 marks2. Understanding of Numerical Descriptive Measuresa) Calculating frequency and relative frequencyb) Calculating cumulative relative frequencyc) Drawing histogramd) and e) Calculating proportions10 marks 10%2 marks2 marks2 marks4 marks3. Application of Linear Regression and Correlation Conceptsa) Estimating the regression equationb) Interpreting slope and interceptc) Calculating and interpreting R squared) Calculating and interpreting Re) Use regression for prediction10 marks 10%2 marks2 marks2 marks2 marks2 marks4. Application of Probability Conceptsa) Understanding marginal probability (a and b)b) Understanding joint probability (Question c and d)c) Understanding Conditional Probability10 marks 10%3 marks4 marks3 marks5. Quality of the ReportCompliance with the given assignment guidelines including fonttype and the font size. Used the assignment cover sheet and filledthe required information. Students’ details in the assignmentclearly matches with the group registration details.2 marks 2%2 marksTOTAL MARKS40 Marks 40% Page 7 of 9HA1011 APPLIED QUANTITATIVE METHODS GROUP ASSIGNMENT T1 2021 Assessment Feedback to the Student:Detailed group assignment feedback will be provided to students whengrades are released. Students should seek consultation with their localcampus lecturer if clarification is needed prior to final submission. Academic IntegrityHolmes Institute is committed to ensuring and upholding Academic Integrity, as Academic Integrity is integralto maintaining academic quality and the reputation of Holmes’ graduates. Accordingly, all assessment tasksneed to comply with academic integrity guidelines. Table 1 identifies the six categories of Academic Integritybreaches. If you have any questions about Academic Integrity issues related to your assessment tasks, pleaseconsult your lecturer or tutor for relevant referencing guidelines and support resources. Many of theseresources can also be found through the Study Skills link on Blackboard.Academic Integrity breaches are a serious offence punishable by penalties that may range from deduction ofmarks, failure of the assessment task or unit involved, suspension of course enrolment, or cancellation ofcourse enrolment.Table 1: Six Categories of Academic Integrity Breaches PlagiarismReproducing the work of someone else without attribution. When astudent submits their own work on multiple occasions this is known as selfplagiarism.CollusionWorking with one or more other individuals to complete an assignment, ina way that is not authorised.CopyingReproducing and submitting the work of another student, with or withouttheir knowledge. If a student fails to take reasonable precautions toprevent their own original work from being copied, this may also beconsidered an offence.ImpersonationFalsely presenting oneself, or engaging someone else to present as oneself,in an in-person examination.Contract cheatingContracting a third party to complete an assessment task, generally inexchange for money or other manner of payment.Data fabrication andfalsificationManipulating or inventing data with the intent of supporting falseconclusions, including manipulating images. Source: INQAAHE, 2020Page 8 of 9HA1011 APPLIED QUANTITATIVE METHODS – GROUP ASSIGNMENT – T1 2021Assignment Marking Rubric CriteriaExcellentVery GoodGoodSatisfactoryUnsatisfactorySelection of anappropriatechart andcomparisonsmade(Max 8 marks)Demonstration ofan outstandingknowledge ondifferent charttypes, selection ofcorrect chart typeand makingcomparison.8 -7 Marksdemonstrationn of very goodknowledge ondifferent charttypes,selection ofcorrect charttype andmakingcomparison.7 – 6 Marksdemonstrationof goodknowledge ondifferent charttypes,selection ofcorrect charttype andmakingcomparison.6 -5 Marksdemonstrationof basicknowledge ondifferent charttypes,selection ofcorrect charttype andmakingcomparison.5 -4 MarksDemonstrationof poorknowledge ondifferent charttypes, selectionof correct charttype andmakingcomparison.(Unsatisfactory= 0 mark if notattempted)4 – 0 MarksUnderstandingof numericaldescriptivemeasures(Max 10 marks)Demonstration ofoutstandingknowledge onnumericaldescriptivemeasures.10 – 8 MarksDemonstrationof very goodknowledge onnumericaldescriptivemeasures.8 – 7 MarksDemonstrationn of goodknowledge onnumericaldescriptivemeasures.7 – 6 MarksDemonstrationn of basicknowledge onnumericaldescriptivemeasures.6 – 5 MarksDemonstrationof poorknowledge onnumericaldescriptivemeasures.(Unsatisfactory= 0 mark if notattempted)4 – 0 MarksLinearRegression andcorrelationconcepts(Max 10 marks)Demonstration ofoutstandingknowledge oflinear regression.10 – 8 MarksDemonstrationof very goodknowledge oflinearregression8 – 7 MarksDemonstrationof goodknowledge oflinearregression.7 – 6 MarksDemonstrationof basicknowledge oflinearregression6 – 5 MarksDemonstrationof poorknowledge oflinear regression.(Unsatisfactory= 0 mark if notattempted)4 – 0 Marks Page 9 of 9HA1011 APPLIED QUANTITATIVE METHODS GROUP ASSIGNMENT T1 2021 Probabilityconcepts(Max 10 marks)Demonstration ofoutstandingknowledge ofsimple probability.10 – 8 MarksDemonstrationof very goodknowledge ofsimpleprobability8 – 7 Marksdemonstrationof goodknowledge ofsimpleprobability.7 – 6 Marksdemonstrationof basicknowledge ofSimpleprobability.6 – 5 MarksDemonstration ofpoor knowledge ofsimple probability.4 – 0 Marks(Unsatisfactory =0 mark if notattempted)Quality of thereport(Max 2 marks)Assignmentstructure shows anexcellentapplication of thetemplate providedand is excellentlyformatted.2 MarksAssignmentstructure is verywell presentedwith theprovidedtemplate andformat.1.8 MarksAssignmentstructure iscoherentlypresented withthe providedtemplate andformat.1.5 MarksAssignmentstructure ispartiallycoherentlypresented withthe providedtemplate andformat.1 MarkAssignmentstructure is notcoherent with theprovidedtemplate andformat.(Unsatisfactory= 0 mark if notattempted)1 – 0 Marks * Unsatisfactory: 0 mark if not attempted

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