Reference no: EM132275024
Case Study
You are Lee Slattery, an analyst for BI Intelligence. BI Intelligence is the Business Insider's paid research service. Business Insider is the world's fastest-growing business news website, and its articles include the latest technology, money and market news. BI Intelligence produces a number of reports on key digital areas, including the mobile industry. Information from those reports is then subsequently published on the Business Insider's website by their respective writers.
Sam Edmondson, a tech journalist at Business Insider, wants to publish an article on the current smart mobile phone usage in Australia. This is in light of Australia being ranked 2nd in the world behind Singapore for smartphone usage. Businesses, including Telcos, find this information useful and subsequently use it to improve their own operations, marketing strategies, etc., for the digital age.
Sam's article will be wide-ranging and include commentary on the user's expenditure, usage patterns, satisfaction levels and demographics.
Sam has asked you to conduct a preliminary analysis of the collected data. In particular, you are expected to perform a series of descriptive and inferential analyses and produce a report based on the findings. This report must be written in plain language since the interested party who may read the report do not necessarily have any statistical knowledge.
Sam's specific analysis requirements are outlined in his email, which is reproduced on the next page.
The assignment consists of two parts: Analysis and Report. You are required to submit both your written report and analysis.
Guidelines for Data Analysis
Read the case study and questions asked by Sam carefully. Then spend some time reviewing the data to get a sense of the context. The analysis required for this assignment involves material covered in Module 1, with the corresponding tutorials being a useful guide.
The analysis should be submitted in the appropriate worksheets in the Excel file. Each question from the email should be analysed in a separate tab (e.g. Q1, Q2 ... or Q3.1, Q3.2 ...). You need to add these. Before submitting your analysis, make sure it is logically organised, and any incorrect or unnecessary output has been removed. Marks will be penalised for poor presentation or disorganised/incorrect results.
For all questions in the email, you can assume that:
- 95 % confidence level is appropriate for confidence intervals and;
- 5.0 % level of significance (i.e. α = 0.05) is appropriate for any hypothesis tests.
You can complete all data analysis using the Excel templates provided in the assignment data file. In choosing the technique to use for a given question, keep the following in mind:
- Are we dealing with a numerical (quantitative) variable or categorical (qualitative) variable?
- Do we have to make an estimate or are we testing a theory, claim etc.? Each type of question must be answered using the most appropriate technique.
- Are we dealing with one sample/population?
- Are we dealing with two samples/populations (independent samples or pair-samples)?
- Even though question(s) may lead you to inferential analysis, consider conducting a descriptive analysis of the sample data first.
Once you have completed your data analysis, you need to summarise the key findings for each question and write a response to Sam's questions in a report format.
Your business report consists of four sections: Introduction, Main Body, Conclusion, and Appendices. The report should be around 1,500 words.
Use proper headings (e.g. Q1, Q2 ... or Q3.1, Q3.2...) and titles in the main body of the report. Use sub- headings where necessary.
Keep the language plain and the explanations succinct. That is, avoid the use of any heavy technical statistical jargon. Your reader may not necessarily understand even simple statistical terms. Thus your task is to convert your analysis into plain, understandable expressions.
Attachment:- Descriptive Analytics and Visualisation.rar