A one‑way ANOVA was performed to compare across the three staffing scenarios. The overall F‑statistic was F(2,87) = 41.2 , p < 0.0001, indicating at least one scenario differs significantly. Post‑hoc Tukey HSD tests yielded the following pairwise differences (all p < 0.01): • Baseline vs. 1‑nurse: Δ = ‑17 min (95 % CI: ‑22 to ‑12) • Baseline vs. 2‑nurse: Δ = ‑30 min (95 % CI: ‑36 to ‑24) • 1‑nurse vs. 2‑nurse: Δ = ‑13 min (95 % CI: ‑18 to ‑8)
Instead of hunting for a pirated PDF (which may contain malware or be outdated), here are legal, safe paths: A one‑way ANOVA was performed to compare across
shows the high‑level process flow of the ED model. Patients arrive according to a non‑homogeneous Poisson process (λ(t) varying by hour). After registration (Resource: Registrar , Tri‑Exponential service time), they join the Triage Queue . The triage module (Resource: Triage Nurse ) follows an Erlang‑2 distribution (mean = 4 min). Figure 2 presents the corresponding Arena logic diagram , where the Create , Process , Decide , and Dispose modules implement the flow described above. All random variates are generated using the Arena Random Number Generator (Mersenne‑Twister, seed = 12345) to ensure reproducibility. 1‑nurse: Δ = ‑17 min (95 % CI:
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