• Technical Soundness (70%) - Data sources and collection method - Detailed explanation of the variables and associated level of measurement - Correct methodology for addressing the given problem. - Identification of unusual observations, type of measurement scale of each variable. - Characterization of any distribution involved. - Appropriate graphical and/or numerical summaries - Correct statistical tools and methodology used to analyse datasets. • Completeness (10%) - No obvious questions are left unaddressed.

Evaluation Criteria of Assignment: • Technical Report Style (10%) - Appropriate formatting, spacing and paragraphs. - Existence of sections with appropriate content. - Existence of figures and tables with appropriate description. - Existence of appropriate references and bibliography style. • Clarity (10%) - Quality of written communication language. - Clear presentation of the area and of the associated problem. - Clear interpretation and presentation of results from statistical analysis. - Documentation of all steps performed during the analysis. - Reproducibility of your work. Please describe in detail all your steps in your statistical analysis or any outputs from the software you employed.

Need all graphs-calculations-formulas presented on word file to be taken from Rstudio Notes: • This assignment contributes towards 40% of the total assessment for this course. • The report that you will submit will undergo all necessary checks against plagiarism. • This work will be assessed as follows: a) The report to be submitted. A technical report of a maximum page limit of 5 pages, including all (if any) appendices, references, figures and tables, describing all techniques you applied on the given dataset to address a real-world problem. The font size should be no smaller than 12pt. [100% of this work ] • You should submit your work via Moodle and 2 hard copies at CIIM relevant office.