Which product category costs the most

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Reference no: EM132122567

Business Analytics and Statistics Research Report Assignment -

This assignment is based on fictional data - do not contact the company listed below.

You are creating a business report for the CEO of a retail company called, Athlete Panda. It must be professional in presentation and contain insightful content for them to make business decisions.

Both data sets are from a small retail store that sells athletic clothing, shoes and products. The business is divided into a number of areas including Men's, Women's, Boys, Girls, and Customisation. The product range includes shoes, clothing, accessories and sporting equipment. The customisation section allows customers to customise their sneakers depending on use, such as lifestyle, running, gym & training, football, basketball and skateboarding. There are also options to customise the children's line.

The shops stocks brands such as Nike, Adidas, Puma, New Balance, Under Armour, ASICS, and Converse.

The brick and mortar shop has been open for about five years and has just started trading online for one year.

You have been given two data sets and the data is inclusive of a whole year of trading.

1. The first dataset labelled "Customer attributes" lists the results of an online survey given to customers.

2. The second dataset lists the Shop sales.

The CEO states that the main challenges in the business are profit, Cost of Goods (COGS margins) and how to increase sales. They want to know how to increase sales and how their customers feel about the store.

Task instructions:

Using what you have learned in the lectures and the tutorials answer the main research questions below. Then consider the dataset and answer any other research questions you can identify that are meaningful to the CEO.

As guide - answer these main research questions:

1. Which product categories are making the most profit?

2. Which product category costs the most (COGS)?

3. Is there a difference in payments methods?

4. Is there a difference in store location and sales?

5. Are there any differences in the user groups on all of the customer attitudes?

6. Are there any differences in gender on all of the customer attitudes?

Report structure -

Cover page/Title Page - Name, student number, tutor information, word count.

Table of contents (could also include a list of figures / graphs / tables).

Introduction (2 marks) - Introduce the business and its problems.

  • Describe the company, what does it do, what is the company profile. Paraphrase this information and add to it as it is an imaginary company.

Problem definition and business intelligence required.

  • List each of the research questions and list what analytics methods you have chosen to answer each question and why. Use references to academic definitions of the statistics, such as textbooks and journal articles. For example, if you used an ANOVA - list the research question, explain why an ANOVA was most appropriate by defining what an ANOVA is and does (use references to statistical textbooks and websites).

Results of the selected analytics methods and technical analysis

  • Use each research question as a heading
  • Present the relevant descriptive statistics through data visualization/ graphical displays (Tables, graphs, pie charts etc.).
  • Present the main analysis results and explain them.
  • Higher marks for including extra research questions not defined in this document and creating nice tables/displays opposed to copy and pasting directly from SPSS output.

Discussion of the results and recommendations

  • Based on the analyses what conclusions about the business can be summarized/drawn and what recommendations can be offered to the CEO.

References - list of references in either Harvard or APA formatting.

Appendix - Include copies of the output from SPSS exactly as it is.

Attachment:- Assignment Files.rar

Reference no: EM132122567

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Reviews

len2122567

9/25/2018 10:31:17 PM

The meaning is consistently clear. Use of discipline terminology is confident and assured. The level of presentation meets professional standards of the discipline, and there is a high level of attention to detail regarding the results tables and graphics (not just cut and paste from SPSS output. Little/no errors in grammar, syntax and spelling. Referencing and citations are appropriate and integrated.

len2122567

9/25/2018 10:31:00 PM

Report formatting (5 marks): Font size 12 Times New roman, double spacing, word count 1,500-2,000. Note. The word count does not include headings, tables, graphs/figures or the reference list. Demonstrates comprehensive and insightful knowledge of the business with an in-depth introduction to the business and the problems. The introduction covers who the company is and what it does. Each problem and the business intelligence/statistics required are described and explained with references where appropriate to literature.

len2122567

9/25/2018 10:30:54 PM

Demonstrates comprehensive and insightful knowledge of the use of business analytic tools to answer the report questions and others identified by the student in the data set. The selected methods are first presented with the use of descriptive statistics and data visualisation. Then the main analysis is presented. Use of statistical terminology is extensive and correct. The level of interpretation of the statistics meets professional standards of the discipline with no errors in interpretation and/or presentation. The recommendations are highly appropriate, integrated with the results, and supported by results/literature. The entire report is presented as a consistent whole.

len2122567

9/25/2018 10:30:08 PM

This assignment is based on fictional data - do not contact the company listed below. There are other research questions you should consider and report on at least one. Do not worry if you are using a lot of the same analysis to report on the research questions. There are right and wrong answers when it comes to statistical analysis. You must know and demonstrate your knowledge of this. Hint: Do not confuse t-tests with ANOVA.

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