Sample size and sampling errors as the source of dispersion in chemical analyses

Computer Science

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Chemical Composition, Data Sampling, Lunar Rocks, Monte Carlo Method, Basalt, Computerized Simulation, Error Analysis, Grain Boundaries, Magma

Scientific paper

The paper describes a Monte Carlo model for simulation of two-dimensional representations of thin sections of some of the more common igneous rock textures. These representations are extrapolated to three dimensions to develop a volume of 'rock'. The model (here applied to a medium-grained high-Ti basalt) can be used to determine a statistically significant sample for a lunar rock or to predict the probable errors in the oxide contents that can occur during the analysis of a sample that is not representative of the parent rock.

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