Scenario

ReadyToShop LimitedReadyToShop Limited: Background

ReadyToShop Ltd is one of Australia's leading supermarket chains. Originating from a family-based chain of general stores, ReadyToShop now has supermarkets all over Australia. Each state capital has a company office. The company planning and direction take place in the company Head Office in Melbourne. A principal role of the Research and Development department in the Melbourne office is to provide statistical advice on matters affecting the company. You (Adam Brown) are one of the leading analysts in the department.

You have received an email from the Director of Analytics (Kayden Li), that contains specific questions that you must answer.

Email from the Director of Analytics

To: Adam Brown

From: Director of Analytics, Kayden Li

Subject: Analysis of the provided data set

Dear Adam,

At the resent board meeting, the directors have decided to initiate certain business analysis on a survey conducted three months ago. As one of the leading analysts, can you do the following analysis and provide a report?

1. Revenue is the most important measure that the ReadyToShop is interested in. Provide with an overall estimate of the average revenue for all the stores in all the locations?

Hint: You will need to produce the relevant tabulated summary statistics and graph(s). Then, you will need to calculate a 90% confidence interval for average Revenue

2.Are there any differences in the overall proportion of stores surveyed in ACT, NSW, NT, QLD? That is, is there any one state sampled proportionally, that is represented more than the others?

Hint: You will need to calculate the proportion of the number of stores surveyed in ACT, NSW, NT, QLD produce the relevant tabulated summary statistics and graph(s). Then, you will need to calculate, compare and contrast, 90% confidence interval estimates for the proportion of stores in ACT, NSW, NT, QLD. Make sure that you interpret your findings.

3.Are there any relationships between the variables wages, number of staff, advertising, competitors and trading hours with the sales of the business (Consider Sales as the dependent variable)?

Hint: You will need to calculate suitable association measures and create relevant graph(s). Then interpret the highlights of key measures.

there're three questions, who do I answer these questions?