Topic Assessment 2
Length Maximum 3000 words
Due Date 07 Apr 2017 (Friday in Trimester 1 Week 9)
Type of Collaboration Individual assessment
Marking Criteria Correct identification, use and interpretation of statistical techniques.
Appropriate interpretation of computer output.
Overall, you are required to demonstrate the following knowledge and skills in this assessment:
• Demonstrate the use of visualising data in presentation of real world data
• Demonstrate the use of statistical concepts/techniques in business data
• Demonstrate how to conduct various hypothesis tests and regression analysis using computer software such as SPSS/Excel/KaddStat
• Demonstrate the use of computer software to get necessary statistical output
• Demonstrate the skills of preparation of a managerial report
Style and Format Business Report.
Students are provided with a data set and a set of related questions they will need to answer by relying on the knowledge of statistical techniques and software acquired in class. In order to answer these questions students will need to prepare a business report, which will be marked by focusing both on the presentation and the rest (statistical analysis, output and interpretation). Specifically, the report will need to include the following sections: executive summary, table of contents, business problem, statistical problem, analysis, conclusion, implications. More detailed information will be provided in class.
Assessment Submission Business Central. See details under -Additional Assessment Information-.
This assessment task has been set up to be checked by Turnitin, a tool for checking if it has unreferenced content. You can submit your assessment task to Turnitin prior to the due date and Turnitin will give you an originality report. You can then make any changes that may be required and re-submit your final version by the due date.
Assessment Return In two weeks.
Detailed Information The business report is based on the following case study.
An Australian manufacturing company which is a market leader in the fashion sector in the Australasian market with operating headquarters in Sydney is keen to develop new product lines, so that the company can expand its market share in the Australian market. The Research and Development (R&D) department of the company has prepared a proposal to work on a new clothing line.
Assume you work as an Analyst for this company and you have been asked to study the Australian fashion market. You have been requested to study the characteristics of currently available clothing products such that the company will be in a better position to price its proposed new line. You have collected data for 120 products on the market. The data is on an excel file named “FASHION”. In this case study, data is given for three competing popular clothing brands. The data collected are recorded in the file Fashion.xls as follows:
Price Unit price of the product
Brand 1 for Calvin Klein, 2 for Zara, 3 Tommy Hilfiger and 4 for
Style 1 for Business, 2 for Sport Clothes and 3 for Casual Gender Target: 1 for woman; 2 for man
1. Visually present data for the unit price of the product from different brands. Calculate descriptive statistics for the prices of different brands. Comment on the location, shape and variability of those distributions.
2. Visually present data for the unit price of the product for different styles. Calculate descriptive statistics for the unit prices of the three styles among the brands. Comment on the location, shape and variability of those distributions.
3. Visually present data for the unit prices of Zara’s products for the three different styles. Calculate descriptive statistics for the unit prices of Zara’s products for the three different styles. Comments on the location, shape and variability of those distributions.
4. A common belief is that there is a difference in product prices between women’s and men’s clothing lines. How do you test that there is a significant difference in average prices across these two gender targets? Use appropriate inferential statistical techniques.
5. Using the data collected, how do you test the claim that there is no significant difference in average product prices of the different brands? What do you find from your analysis? Use appropriate inferential statistical techniques.
6. It is commonly believed that there is a difference in product prices between Business, Sport and Casual clothes, due to differences in fabrics, manufacturing techniques and targeted customers. How do you test that there is a significant difference in average prices across the three styles? Use appropriate inferential statistical techniques.
7. Zara claims to keep similar prices for business, sport and casual clothes. How do you test whether there is significant difference between average prices of ZARA’s clothes for different styles? Use appropriate inferential statistical techniques.
Deadline: Friday in Week 9, 5:00 pm.
NOTE: It is also compulsory for all students to submit their assignments (final version) in a word format into the Turnitin system before finalising their assignment submission. Students are encouraged to submit drafts of their assignment to Turnitin before the due date, thus enabling students to check their referencing and rectify any issues before submission of the final version in hard copy.
More information on this assessment will be provided during the session time including the presentation of the assignment and submission to Turnitin.