1 OVERVIEW OF THE ASSIGNMENT
This assignment will test your skills of collecting and analysing data to answer a specific business problem. It also gives you the opportunity to apply the theories you have learned in this course such as finding numerical summaries, displaying with appropriate graphs and using statistical inferences to solve business problems, including constructing hypotheses, test them and interpret the findings. You may have to use two Data sets. One Data set will be sent to you via KOI student email individually and you need to find or collect another dataset.
Suppose you are working for an agency who analyse NSW transport system data to make a recommendation to improve public transport system. You will be given series of research questions. Use your knowledge that you gain from this course to answer these questions by displaying appropriate outputs of Excel, StatKey or Wolfram alpha. Use these answers to write an executive summary which might be a valuable recommendation to Transport NSW.
2 TASK DESCRIPTION: WRITTEN REPORT
There are two datasets involved in this assignment: Dataset 1 and Dataset 2, detailed below.
Dataset 1: You will receive an email that contains a dataset that is specifically allocated to you. This dataset is a subset of a data Opal Tap on and Tap Off Location - 8th to 14th August 2016 individual sample file, provided by the Transport for NSW Open Data and has been edited to only include a subset of the cases and variables. The original dataset can be obtained from https://opendata.transport.nsw.gov.au/dataset/opal-tap-on-and-tap-off and it is under the license of Creative Commons Attribution 3.0 Australia . Data dictionary of the edited dataset is given in the following table.
|mode||Type of the public transport||Bus, Train, Ferry and Light Rail|
|date||Date of the tap on/off held||Date/month/year|
|tap||It is a tap on or off||On and Off|
|loc||Locations of stops. For bus||Postcodes and names of the stations|
|postcodes and others name|
|of the stations|
|count||Total number tap on or off||Number|
|on the certain location and|
|the certain date|
Dataset 2: Collect data (e.g. via a survey) that will answer research question given in section 3. There is no requirement about the number of variables, sampling methods and sample size, but you need to justify your approaches in Section 1 (see below).
Both datasets should be saved in an Excel file (one file, separate worksheets). All data processing should be performed in Excel or Statkey http://www.lock5stat.com/StatKey/).
Prepare a report in a document file (.doc or .docx) which includes all relevant tables and figures, using the following structure:
Section 1: Introduction
Section 2: Analysis of single variable in Dataset 1
NSW people during 8th to 14th of August 2016?”, provide a suitable numerical summary and graphical display for the variables mode of Dataset 1. Give a detailed comment to answer the research question.
Section 3: Analysis of two variables in Dataset 1
NSW Government need to decide on whether they have to build an underground Railway line from either Parramatta, Bankstown or Gosford to central. To prepare a recommendation for this;
Section 4: Collect and analysis Dataset2
You are interested in finding whether there is a difference in preference between different gender in terms of their transport mode (Bus, Train, Ferry and Light Rail). by considering appropriate number of cases and variable, give a proper graphical display and use it to write a comments.
Section 5: Discussion & Conclusion
Write an executive summary by combining all your findings in the previous sections which must be a valuable recommendation for NSW Transport. Give a suggestion for further research
3 TASK DESCRIPTION: PRESENTATION/INTERVIEW
A presentation/interview for the assignment is scheduled on Week 11, in your allocated tutorial.
You do NOT need to prepare a presentation material (e.g. power-point slides), instead, you will be asked to demonstrate and/or explain how you summarised the data and how you performed the analysis. You may be asked to reproduce what you have made in your written report (e.g. generate a chart or numerical summary using Excel or Statkey).
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