# HA1011 APPLIED QUANTITATIVE METHODS

HA1011 APPLIED QUANTITATIVE METHODS – GROUP ASSIGNMENT – T1 2021

HOLMES INSTITUTE

FACULTY OF

HIGHER EDUCATION

Assessment Details and Submission Guidelines

Trimester

T1, 2021

Unit Code

HA1011

Unit Title

Applied Quantitative Methods

Assessment Type

Group Report

Assessment Title

Group Assignment (Report Format)

Purpose of the

assessment

(with ULO

Mapping)

Students are required to demonstrate their understanding of the key concepts, principles and techniques of business research and statistical analysis, as delivered in the unit from Lecture 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.

Weight

40% of the total assessments

Total Marks

40 Marks

Word limit

Maximum 4,000 words

Due Date

Week 8 – Friday 14th of May, 2021 – Midnight (23.59PM)

Late submission incurs penalties of 5 (five) % of the assessment value per calendar day unless an extension and/or special consideration has been granted by the lecturer prior to the assessment deadline.

Submission Guidelines

• All work must be submitted on Blackboard by the due date along with a completed assignment cover page.

• Please make sure that your name and surname, student ID, subject name, and code and lecture’s name are written on the cover sheet of the submitted assignment.

• The assignment must be in MS Word format, no spacing, 12-pt Arial font, justify and 2 cm margins on all four sides of your page with appropriate section headings and page numbers

• Reference sources must be cited in the text of the report, and listed appropriately at the end in a reference list using Harvard referencing style. Submitted work should be your original work showing your creativity. Students need to read and understand the Holmes Academic Integrity Policy before they start any assessment.

• (For more information, please refer section to 4.3 Guide to Academic Integrity p 27 of the Holmes Student Handbook)

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HA1011 APPLIED QUANTITATIVE METHODS – GROUP ASSIGNMENT – T1 2021

• Always keep an electronic copy until you have received the final grade for the Unit. Please make sure that you submit the correct file. Any appeal relating to submitting wrong files after the deadline will not be considered.

Adapted Harvard Referencing

Holmes has now implemented a revised Harvard approach to referencing:

1. Reference sources in assignments are limited to sources which provide full text access 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 essay and titled: References.

3. It should include the details of all the in-text citations, arranged alphabetically A-Z by author surname. In addition, it MUST include a hyperlink to the full text of the cited reference source. For example; P Hawking, B McCarthy, A Stein (2004), Second Wave ERP Education, Journal of Information Systems Education, Fall, http://jise.org/Volume15/n3/JISEv15n3p327.pdf

4. All assignments will require additional in-text reference details which will consist of the surname of the author/authors or name of the authoring body, year of publication, page number of content, paragraph where the content can be found. For example; “The company decided to implement an enterprise wide data warehouse business intelligence strategies (Hawking et al, 2004, p3(4)).”

Non – Adherence to Referencing Guidelines

Where students do not follow the above guidelines:

1. Students who submit assignments which do not comply with the guidelines may be required to resubmit their assignments or incur penalties for inadequate referencing.

2. Late penalties will apply per day after a student or group has been notified of a resubmission requirements.

• Students whose citations are identified as fictitious will be reported for academic misconduct.

*Note: Students are required to form and self-enrol into groups – a maximum of 4 students per group. You will not be able to submit your group assignment unless you are OFFICIALLY enrolled into a designated group in Blackboard. Submit the group assignment as a single document, including the Holmes official COVER SHEET. 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) are included. Students must use their Holmes email address.

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HA1011 APPLIED QUANTITATIVE METHODS GROUP ASSIGNMENT T1 2021

Assignment Specifications

Purpose:

This group assignment aims to develop students’ understanding of various qualitative and quantitative research methodologies and techniques, which are commonly used in practice. This assignment consists of four (4) statistical questions which requires the application of different statistical techniques. The main focus of the assignment is on the topics studied from Lecture 1 to Lecture 10. This assignment is to be completed as a group assignment, but there are specific individual components.

Assignment Structure:

This is an applied assignment. Students have to show that they understand the principles and techniques taught in this course. Therefore, students are expected to show all the workings, and all problems must be completed in the format taught in class, the lecture notes or prescribed text book. Any problems not done in the prescribed format will not be marked, regardless of the ultimate correctness of the answer.

(Note: The questions and the necessary data are provided under “Assignment and Due date” in the 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 the original submission is failed and/or you are asked to resubmit.

• Please check your email prior to reporting your assignment mark regularly for possible communications due to failure in your submission.

Important Notice:

All submitted assignments must undergo plagiarism checking through safe-assign prior to being graded. Academic misconduct is a serious issue which will be dealt with in accordance with Holmes policies and procedures. Please refer to the Holmes Student Handbook for more information on Academic Misconduct or consult with your local campus lecturer if you require more clarification.

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HA1011 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 Stream

Median Income in $ 2015

Median Income in $

2017

Skilled

55,248

55,904

Family

36,977

37,413

Humanitarian

29,806

30,365

Other PR

47,977

49,383

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 between 2015 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 the results of 30 groups were recorded in the table below.

39

63

65

68

68

76

76

85

84

87

91

95

94

94

30

34

39

31

33

14

35

38

39

38

32

27

28

33

40

49

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 distribution for 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)

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HA1011 APPLIED QUANTITATIVE METHODS GROUP ASSIGNMENT T1 2021

Question 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 the

number of cost of advertising.

Advertising ($)

Items Sold

40

15

20

10

70

14

80

20

10

2

120

25

Required Tasks:

a. Derive the simple linear regression equation (between amount spent on advertising

and 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 Type

Under-graduate

Graduate

Male

100

460

Female

240

200

Required Tasks:

(a) P (Male) (1 mark)

(b) P (Under graduate) (1 marks)

(c) P (Male OR under graduate) (2 marks)

(d) P (Female AND Under graduate)(3 marks)

(e) P (Graduate | Female) (3 marks)

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HA1011 APPLIED QUANTITATIVE METHODS – GROUP ASSIGNMENT – T1 2021

Assignment Marks and Weighting

Marking Criteria Marks and Weighting

1. Selection of an appropriate chart and comparisons made

a) Correct graphical representation

b) Correct graphical representation

c) Comparison of information across groups

d) Clear idea on selecting suitable chart types

8 marks 8%

2 marks

2 marks

2 marks

2 marks

2. Understanding of Numerical Descriptive Measures

a) Calculating frequency and relative frequency

b) Calculating cumulative relative frequency

c) Drawing histogram

d) and e) Calculating proportions

10 marks 10%

2 marks

2 marks

2 marks

4 marks

3. Application of Linear Regression and Correlation Concepts

a) Estimating the regression equation

b) Interpreting slope and intercept

c) Calculating and interpreting R square

d) Calculating and interpreting R

e) Use regression for prediction

10 marks 10%

2 marks

2 marks

2 marks

2 marks

2 marks

4. Application of Probability Concepts

a) Understanding marginal probability (a and b)

b) Understanding joint probability (Question c and d)

c) Understanding Conditional Probability

10 marks 10%

3 marks

4 marks

3 marks

5. Quality of the Report

Compliance with the given assignment guidelines including font type and the font size. Used the assignment cover sheet and filled the required information. Students’ details in the assignment clearly matches with the group registration details.

2 marks 2%

2 marks TOTAL MARKS 40 Marks 40%

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HA1011 APPLIED QUANTITATIVE METHODS GROUP ASSIGNMENT T1 2021

Assessment Feedback to the Student:

Detailed group assignment feedback will be provided to students when grades are released. Students should seek consultation with their local campus lecturer if clarification is needed prior to final submission.

Academic Integrity

Holmes Institute is committed to ensuring and upholding Academic Integrity, as Academic Integrity is integral to maintaining academic quality and the reputation of Holmes’ graduates. Accordingly, all assessment tasks need to comply with academic integrity guidelines. Table 1 identifies the six categories of Academic Integrity breaches. If you have any questions about Academic Integrity issues related to your assessment tasks, please consult your lecturer or tutor for relevant referencing guidelines and support resources. Many of these resources 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 of marks, failure of the assessment task or unit involved, suspension of course enrolment, or cancellation of course enrolment.

Table 1: Six Categories of Academic Integrity Breaches Plagiarism

Reproducing the work of someone else without attribution. When a student submits their own work on multiple occasions this is known as self-plagiarism. Collusion

Working with one or more other individuals to complete an assignment, in a way that is not authorised. Copying

Reproducing and submitting the work of another student, with or without their knowledge. If a student fails to take reasonable precautions to prevent their own original work from being copied, this may also be considered an offence. Impersonation

Falsely presenting oneself, or engaging someone else to present as oneself, in an in-person examination. Contract cheating

Contracting a third party to complete an assessment task, generally in exchange for money or other manner of payment. Data fabrication and falsification

Manipulating or inventing data with the intent of supporting false conclusions, including manipulating images.

Source: INQAAHE, 2020

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HA1011 APPLIED QUANTITATIVE METHODS – GROUP ASSIGNMENT – T1 2021

Assignment Marking Rubric Criteria Excellent Very Good Good Satisfactory Unsatisfactory

Selection of an appropriate chart and comparisons made

(Max 8 marks)

Demonstration of an outstanding knowledge on different chart types, selection of correct chart type and making comparison.

8 -7 Marks

demonstration n of very good knowledge on different chart types, selection of

correct chart type and making comparison.

7 – 6 Marks

demonstration

of good knowledge on

different chart types, selection of

correct chart type and making comparison.

6 -5 Marks

demonstration

of basic knowledge on

different chart types, selection of

correct chart type and making comparison.

5 -4 Marks

Demonstration

of poor

knowledge on different chart types, selection of correct chart type and making comparison.

(Unsatisfactory = 0 mark if not attempted)

4 – 0 Marks

Understanding

of numerical descriptive measures

(Max 10 marks)

Demonstration of outstanding knowledge on numerical descriptive measures.

10 – 8 Marks

Demonstration of very good knowledge on numerical descriptive measures.

8 – 7 Marks

Demonstration n of good knowledge on numerical descriptive measures.

7 – 6 Marks

Demonstration n of basic knowledge on numerical descriptive measures.

6 – 5 Marks

Demonstration

of poor

knowledge on numerical descriptive measures. (Unsatisfactory = 0 mark if not attempted)

4 – 0 Marks

Linear Regression and correlation concepts

(Max 10 marks)

Demonstration of outstanding knowledge of linear regression.

10 – 8 Marks

Demonstration of very good

knowledge of

linear

regression

8 – 7 Marks

Demonstration

of good knowledge of linear regression.

7 – 6 Marks

Demonstration

of basic

knowledge of linear regression

6 – 5 Marks

Demonstration

of poor

knowledge of linear regression.

(Unsatisfactory = 0 mark if not attempted)

4 – 0 Marks

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HA1011 APPLIED QUANTITATIVE METHODS GROUP ASSIGNMENT T1 2021

Probability

concepts

(Max 10 marks)

Demonstration of outstanding knowledge of simple probability.

10 – 8 Marks

Demonstration of very good knowledge of simple probability

8 – 7 Marks

demonstration of good knowledge of simple probability.

7 – 6 Marks

demonstration of basic knowledge of

Simple probability.

6 – 5 Marks

Demonstration of poor knowledge of simple probability.

4 – 0 Marks

(Unsatisfactory = 0 mark if not attempted)

Quality of the report

(Max 2 marks)

Assignment structure shows an excellent application of the template provided and is excellently formatted.

2 Marks

Assignment structure is very well presented with the provided template and format.

1.8 Marks

Assignment structure is coherently presented with the provided template and format.

1.5 Marks

Assignment structure is

partially coherently presented with the provided template and format.

1 Mark

Assignment structure is not

coherent with the provided template and format.

(Unsatisfactory = 0 mark if not attempted)

1 – 0 Marks

* Unsatisfactory: 0 mark if not attempted