AuCement want to research customer satisfaction on a new product across different Australian cities.

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Case 1: AuCement

AuCement want to research customer satisfaction on a new product across different Australian cities.

They produce many types of cement products at its factory in Sydney which they sell in Sydney, Brisbane, Canberra, and Melbourne.

Six months ago, the company established a new cement facility to produce a new 20Kg packaged cement. The company sells this new product for a competitive price. In every contract the price of the product is partly based on the delivery time.

To investigate sales further, the company surveyed the customers who have purchased this new product and a sample of 50 receipts was selected.

For a better comparison, the delivery time has been scaled through dividing the hours spent for delivering the order by distance (kilometres) travelled and weight (kilograms) of the order.

The AuCement file (available on the Canvas assessment page) contains data showing the customer’s location, the payment type, the scaled delivery time, customer satisfaction, and price for every tonne of this product paid by each of 50 customers.

AuCement would like to get some insights from the collected data. You are required to use descriptive analytics methods to provide insights to the data sets.

Create a managerial report for AuCement

Apply the appropriate descriptive statistics methods to analyse the provided datasets for AuCement. You must include your interpretation of the data in your report.

Include the following in your report:

• Data-visualization methods including 5 plots/tables that give insights on the AuCement dataset.

• Your interpretation of each table or plot in one paragraph.

• Each paragraph is limited to 150words.

Remember:

• To use concise language

• To add titles to diagram axis

• There is no requirement for introduction or conclusion

• Read and follow submission format details below

 

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