MIT 墨尔本理工 MA508 GROUP ASSIGNMENTE 代写代做

· 案例展示

Assessment Details and Submission Guidelines
School	School of Business
Course Name	Master of Professional Accounting
Unit Code	MA508
Unit Title	Business Statistics
Assessment Author	Dr Ken Mardaneh
Assessment Type	Assignment [Group]
Assessment Title	Assignment [Group]
Unit Learning Outcomes covered in this assessment	a. Demonstrate advanced and integrated understanding of situations in which statistical analysis may be useful. b. Critically analyse, reflect on and solve statistical problems using analytical methods. c. Generate, interpret and transmit knowledge, skills and ideas from a range of output from statistical analysis software and interpret the results. d. Apply knowledge and skills using a range of statistical measures and techniques to real life situations and business decisions to demonstrate autonomy, expert judgement and adaptability as a practitioner or learner.
Weight	30%
Total Marks	100 Marks (this will be scaled down to 30%)
Word limit	NA
Release Date	Week 4
Due Date	Sunday Week 11 by 5.00 PM
Submission Guidelines	All work must be submitted on Moodle by the due date along with a completed Assignment Cover Page. The assignment must be in MS Word format, 1.5 spacing, 11-pt Calibri (Body) font and 2 cm margins on all four sides of your page with appropriate section headings. Reference sources must be cited in the text of the report, and listed appropriately at the end in a reference list using APA or IEEE referencing style for School of Business and School of Information Technology and Engineering respectively.
Extension	If an extension of time to submit work is required, a Special Consideration Application must be submitted directly to the School's Administration Officer, in Melbourne on Level 6 or in Sydney on Level 7. You must submit this application three working days prior to the due date of the assignment. Further information is available at: http://www.mit.edu.au/about -mit/institute -publications/policies -procedures -and -guidelines/special considerationdeferment
Academic Misconduct

Academic Misconduct is a serious offence. Depending on the seriousness of the case, penalties can vary from a written warning or zero marks to exclusion from the course or rescinding the degree. Students should make themselves familiar with the full policy and procedure available at: http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/Plagiarism-Academic-Misconduct-Policy-Procedure. For further information, please refer to the Academic Integrity Section in your Unit Description.

Assessment Cover Sheet

Student ID Number/s:

Student Surname/s:

Given name/s:

Course:

School:

Unit code:

Unit title:

Due date:

Date submitted:

Campus:

Lecturer:

Tutor:

Student Declaration

I/We declare that:

the work contained in this assignment is my/our own work/group work, except where acknowledgement of sources is made;
certify that this assessment has not been submitted previously for academic credit in this or any other course;
I/we have read the MIT’s Plagiarism and Academic Misconduct Policy Procedure, and I/we understand the consequences of engaging in plagiarism;
a copy of the original assignment is retained by me/us and that I/we may be required to submit the original assignment to the Lecturer and/or Unit Co-ordinator upon request;

I/we have not plagiarised the work of others or participated in unauthorised collaboration when preparing this assignment.

MIT ID

Signature

Date

For Assessor Use Only (if not marked on Moodle)

Name:

Position

Date:

Signature:

Marks/Grades:

Assignment Description

This group assignment draws upon the individual assignment and uses the same dataset used for the individual assignment [Global Corporation –Customer attributes &Sales data] to expand the analysis. You need to use Business Statistics tools, techniques and terminology that you have learnt, to analyse the data and to write up the assignment.

Similar to individual assignment, for the analysis you do not need to involve all the variables. However, given that there are new areas of analytics in this group assignment, prior to selecting variables you need to be clear about below:

Considering variables available in the data, what are your assumptions about reasons that may cause satisfaction level to decrease?
Based on the assumption you make in part a. what variables you believe that may be contributing to this satisfaction decline?
Based on the choice of variables in part b., what are the analytical methods that you think you can employ to get some information from the provided dataset?

Using statistical theory, concepts, terminology and application and considering the dataset, as well as points a,b,c above create some research questions and answer them in a way that is meaningful to you. Accordingly, you will be able to write up the assignment. Research questions should be analysed and illustrated through use of graphs or charts or tables or a combination of all.

Assignment structure:

Further assumptions to the problem and business intelligence is required to conduct the following analysis.

Assignment structure:

Introduction– Introduce the business problems. (10 marks)
- What are your reasons for the variables you choose for the analysis
Binomial distribution (10 marks)
- Calculate Binomial probabilities where number of trials n=10, probability of success p=0.5, x=1,2,…,10.
Z scores calculation (10 marks)
- Calculate z scores for amount paid and interpret the results by identifying outliers. (outside of -3 and +3)
A test of chi-square for independence? (20 marks)

Are two categorical variables of payment and region independent?
Formulate the statistical hypothesis to test this
Run a statistical test of the hypothesis
Interpret your test result

Payment/region	1	2	3	4	Total
1	Oi= 20	12	12	13

Total

For this exercise α=0.05

Show your calculation of ei for each cell and show chi-square of α with the degree of freedom.

Relationship between multiple numerical variables (20 marks)
- Create a scatter plot of opening gross sales and revenue and interpret
- Calculate the correlation coefficient of salary and revenue
- Interpret the calculated correlation coefficient
- Run a regression of Salary and revenue
- Interpret the regression output
Discussion of the results and recommendations (10 marks)
- This includes discussion of the findings and conclusion.

MA508 Business Statistics Assignment [Group] Marking Guide (30 Marks)

Criteria

Possible Marks%

Marks Allocated

Introduction– Introduce the business problems. (10 marks)

What are your reasons for the variables you choose for the analysis

Binomial distribution (10 marks)

Calculate Binomial probabilities where number of trials n=10, probability of success p=0.5, x=1,2,…,10.

Z scores calculation (10 marks)

Calculate z scores for amount paid and interpret the results by identifying outliers.

A test of chi-square for independence? (20 marks)

Are two categorical variables of payment and region independent?

Formulate the statistical hypothesis to test this

Run a statistical test of the hypothesis

Interpret your test result

Relationship between multiple numerical variables: does salary depend on age and salary? (20 marks)

Create a scatter plot of opening gross sales and revenue and interpret

Calculate the correlation coefficient of salary and revenue

Interpret the calculated correlation coefficient

Run a regression of Salary and revenue

Interpret the regression output

Discussion of the results and recommendations (10 marks)

This includes discussion of the findings and conclusion.

Total

100%

Overall Comments:

Assessor Name:

Assessor Signature:

= _____/30__ Marks

Date: