Assessment 1 MIS771 Descriptive Analytics and Visualisation

Tasks

Assignment one is an individual assignment with three tasks. The first task is to plan and deliver the assessment task on time. The second task is to analyse the given dataset and draw conclusions. Finally, the third task is to convey the findings and conclusions in a written report to a person with very little or no knowledge of Business Analytics.

To complete the assignment, you must use the dataset file named T32025A1.xlsx and apply the techniques covered in Module 1.

Specific Requirements

Case Study: Hybrid Vehicle Ownership

There is a lot of interest in Hybrid Vehicles in Australia. Many believe hybrid vehicles offer an important steppingstone in achieving net zero emissions while addressing range anxiety. However, vocal critics argue that there is insufficient information about who buys hybrid vehicles, used for what activities, and how they are charged. Subsequently, the Green Mobility Innovation Lab secured a government grant to investigate Hybrid Vehicle Ownership in Australia.

Methodology:

A survey (n = 102) was conducted to collect data on hybrid vehicle owner demographics, charging behaviour and cost savings. The survey included questions on demographic information such as age, location and household type of the owner. It also included questions on use, distance travelled and charging frequencies. A brief description of the dataset is on page 2.

You are a Data Analyst at the Green Mobility Innovation Lab. Your team leader – Sarah Mitchell, has asked you to analyse the collected data. In particular, you are expected to perform descriptive and inferential analyses and produce a report based on your findings. Sarah's email to you is reproduced on page

The dataset below contains numerous variables and details about hybrid vehicle owners.