The purpose of this assignment is to help students better understand the exploratory data analysis techniques taught in class sessions by utilizing them on a real dataset. You will be provided with a real dataset for which you will develop your own R code and perform the necessary techniques for descriptive and exploratory data analysis; you will conclude your analysis through a critical assessment of the discovered statistical results.
In particular, in this assignment, you will
· perform inferential data analysis on the data set using R
o perform hypothesis testing (e.g. t-test, correlation test, etc.) where applicable and appropriate;
o evaluate regression modelling concepts based on the characteristics of the data;
o perform the appropriate diagnostics and transformations so as to retrieve the most useful model;
· make judgments and critically assess the results you will obtain to conclude the data analysis.
You will use the dataset you used in Assignment 1, which you are already familiar with.
You will be required to submit one report document in MS Word format (.docx) and one
presentation in MS PowerPoint format (.pptx) on the corresponding Hand in Date.
The report will be a continuation of the report you submitted in Assignment 1, and it must contain an Executive Summary, a table of contents, an Introduction in which you will describe the dataset, aim and objectives of your study, one or more sections describing your work (descriptive analysis, summaries, graphical representations, inferential analysis, testing, regression, diagnostics), a Conclusions section and an Annex displaying your R code (from both Assignments) with all commands commented.
The structure of the report must include the following:
|
Part |
Description |
Range |
|
Executive Summary |
Description of the dataset the problem and the aim and objectives of your study. Discussion of the methods that were employed in the analysis and key results that result from the analysis |
0-9 |
|
Descriptive statistical analysis |
Description of the descriptive statistical analysis performed including appropriate visualizations. |
- |
|
Inferential statistical analysis |
Description of the inferential statistical analysis performed including appropriate visualizations. |
0-25 |
|
R code (Annex) |
The R code implementation including appropriate comments |
0-11 |
In addressing the work within each section, factors such as simplicity, quality and appropriateness of comments, and quality and completeness of the design will be considered.
The presentation will present the dataset, aim and results of your study, and it will be based upon both Assignments. It can be divided in three parts: Introduction (description of the dataset and aim), Descriptive analysis (based on Assignment 1), Inferential analysis (based on Assignment 2).
The structure of the presentation must include the following:
|
Part |
Description |
Range |
|
Introduction |
Description of the dataset, aim and objectives of your study. |
0-1 |
|
Descriptive statistical analysis |
Presentation of the descriptive analysis methods employed and results. |
0-5 |
|
Inferential statistical analysis |
Presentation of the inferential analysis methods employed and results. |
0-5 |
|
Conclusions |
Conclusions of your study, key results from your analysis. |
0-2 |
|
Questions |
Answering of questions made by the class after the presentation. |
0-2 |
On the presentation date you will have 10 minutes to present the results of your analysis to the class and 2-3 minutes for questions.
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