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 |
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Extension |
http://www.mit.edu.au/about-mit/institute-publications/policies-procedures-and-guidelines/specialconsiderationdeferment |
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.
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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 |
2
16
17
18
19
3
14
16
21
18
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 |
What are your reasons for the variables you choose for the analysis |
10
- Binomial distribution (10 marks)
Calculate Binomial probabilities where number of trials n=10, probability of success p=0.5, x=1,2,…,10.
10
- Z scores calculation (10 marks)
Calculate z scores for amount paid and interpret the results by identifying outliers.
10
- 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
30
- 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
30
- Discussion of the results and recommendations (10 marks)
This includes discussion of the findings and conclusion.
10
Total
100%
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= _____/30__ Marks
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