This video showcases a University of Portsmouth (M30289: Statistics & Data Modelling) coursework sample structured in three parts.
Section A – MCDA: AHP weights from client pairwise preferences and PROMETHEE ranking to compare five UK properties; results show Liverpool Docks as best performer, Salford Quays lowest regret; sensitivity on Salford noise reduced to 60 dB confirms robustness; second-best Gunwharf Quay closely follows.
Section B – Statistics & Regressions: Insurance-premium dataset analysed with histogram & quartiles (Q1≈512.5, Median≈685, Q3≈875), strong negative Pearson correlation with age (≈-0.95), and multiple regression (R²≈0.975) showing significant negative effects of Age, No-Claims Years, and Mileage; predicted premium for 40y & 6 no-claims ≈ 804.
Section C – Monte Carlo Simulation: Deterministic NPV favours Type B; stochastic @Risk simulation highlights risk/variance, leading to a more conservative recommendation for Type A under uncertainty (distribution & percentiles reported).
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