A Monte Carlo simulation of the density of a glass marble

PHYSICS · Multi-part · Fermi University Physics · Scientific Practice & Experimental Methods · Uncertainty in measurement · Data analysis and model fitting in the laboratory

Measurement and Method, Ch Monte Carlo and the bootstrap: uncertainty by sampling

Problem

A Monte Carlo simulation of the density of a glass marble, drawing its mass and diameter from their budget rows, gives a relative standard uncertainty of 0.950.95 per cent from B=1000B=1000 trials. A lab partner says: "Let's rerun it with B=106B=10^6 trials; then we'll know the marble's density far better than 0.950.95 per cent." ((a)) Using the rule that a simulated standard deviation for a bell-shaped output is known to about 1/2B1/\sqrt{2B} of itself, find how precisely the 0.950.95 per cent figure is known at B=1000B=1000 and at B=106B=10^6, in percentage points. ((b)) Say whether increasing BB from 10001000 to 10610^6 makes the density measurement itself more precise, and state what relative uncertainty should be quoted for the density at each value of BB.

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