Statistical analysis of residential property data


Assignment Task: Statistical Analysis Project:

This project leads you through a statistical analysis of residential property data from a given non-capital city or town in Australia.

Project Data:

The data for this project can be accessed in Task 2 - Project in Assessment Tasks.

The data set provided contains 10 randomly chosen samples of size 100.

To obtain your data

(1) Click on the Project Data file. This will download an Excel file.

(2) Select the 4 columns (Price $000to Type) of data for the sample specified by the last digit of your student ID number.

(3) Copy this into a new Excel file.

There are 10 sample data sets each of four (4) columns (Price $000to Type)

Project Situation

Your statistical analysis of residential property data is to enable you to answer questions from a relative who is seeking to buy a property in the particular town or city of your sample and has asked you for information and advice.

In each part of the project you are required to analyze your sample data in response to given questions and provide a written answer. You can assume that each written answer is a part of a letter or email to your relative.

Project Preparation

You are expected to use Excel when completing the project.

Your written answers presenting findings and conclusions should be considered as a part of a letter or email to your relative. Each written answer should be a word document into which your Excel output has been copied.

In addition, your statistical workings for Part B should appear as appendices to your written answer. This should include all necessary steps and appropriate Excel output.

Each part of the project should be submitted as a SINGLE Word document, with appropriate Excel output added.

Our Statistical Analysis Assignment Help can even provide the top-notch quality work even in the stringent deadlines, without even compromising with the quality of the academic content.

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Attachment:- Statistical Analysis.zip

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Applied Statistics: Statistical analysis of residential property data
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