The project centres on turning a raw quantitative dataset into a clear, publication-ready research section. I will supply the data file and the guiding research questions; your task is to run a full descriptive statistics routine—means, medians, standard deviations, frequency tables, and any relevant visualisations—then write up the findings in an academic style.
Please use the statistical tool you are most comfortable with (R, Python/pandas, SPSS, or Excel). In the narrative, briefly outline your method, justify the choice of statistics, present neatly formatted tables and graphs, and explain what each result means in the context of the study.
Deliverables • A reproducible script or workbook containing all calculations • A Word or LaTeX document (~1,500–2,000 words) that includes methodology, results, figures, and a short discussion • Exported high-resolution charts ready for insertion into a journal article or report
The work is complete when the numbers in the write-up match the output in the script, all figures are labelled correctly, and the interpretation answers each research question without over-stepping the descriptive scope.
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