MS4S08 - Data Acquisition and Exploratory Data Analysis - Statistics Assignment Help

Assignment Task

Task A – Data Acquisition and Exploratory Data Analysis
You are required to select a data set that contains information addressing a relevant business problem of interest to you. This can be sourced online.
You are required to set out your research question and produce a summary statistics and an exploratory data analysis of your datasets, including tables and graphs in your report.

Task B – Statistical Analysis
Using the data you have selected in Task A, produce statistical analyses using the methods discussed during this module. You should use at least 3 different statistical tests. State clearly the hypotheses, tests/methods you use, the assumptions you make, the results you produce and your conclusions.

Task C - Report
You are required to produce a formal report summarising your results for Task A and B. The main outcome of this task is to introduce your data, display your understanding of the techniques and interpretation of the results.
A suggested structure for the reporting for each technique would be:
Outline the purpose of the analysis.
Describe the methods used to look at the data.
Summarise the key results obtained; marks are awarded for both the suitability and correctness of the approach.
Make overall conclusions based on the output obtained.
The report must be well structured, well written and grammatically correct. Titles, headings and figures should be correct and labelled in a meaningful way and referenced accordingly.
An important skill of statistical reporting is to be clear and concise; therefore, a word limit has been set at 1,500 words with a 12pt font. This does not include tables, captions or references. The total number of figures or tables included in the report should not exceed 12.

Task D - Dashboard
You are also required to utilise a data visualisation tool to produce a dashboard of the main findings from Tasks A and B. You should create one overall dashboard presenting the most interesting information.
Your dashboard should use clear and consistent naming conventions, display icons and colour schemes. Data should be selected intelligently, with values filtered/truncated as required. Stick to a single format to make information easy to process. Add text/captions to highlight key information.

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