P
QUANT
SIM
_TERMINAL
/
CONVERGENCE_LAB
KERNEL_ACTIVE
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> CONFIGURATION
[PARAM]
Trials (n)
Number of independent trials or experiments.
100
Prob (p)
Probability of success in each individual trial.
0.05000
Expected Value (λ)
5.00
λ = n × p
Max_k_Display
Maximum number of successes (k) to display on the x-axis.
20
> OPTIMAL CONVERGENCE:
• n ≥ 100 (Large)
• p ≤ 0.1 (Rare)
• λ ≈ 2-10 (Moderate)
>> Run_Simulation
Reset_Params
/
COMPUTING_DISTRIBUTIONS...
Theorem Context:
The
Poisson Limit Theorem
states that for large
n
and small
p
, the Binomial distribution
B(n,p)
converges to the Poisson distribution
P(λ)
where λ = np. This approximation is computationally efficient for modeling rare events.
Ready to Explore
> Adjust parameters and click RUN_SIMULATION