Titlebook: Statistical Evaluations in Exploration for Mineral Deposits; Friedrich-Wilhelm Wellmer Textbook 1998 Springer-Verlag Berlin Heidelberg 199

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Treatment of the Data Seted in the order in which they were made. With respect to analytical data, the data set is usually the certificate of analysis issued by the laboratory. Table 1 illustrates a data set of Si02 analyses from 20 barite samples (l-kg rock samples).

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The Normal Distributionistribution since it was derived by C. F. Gauss and included in his work about the theory of measurement of errors. The simple assumption of a normal distribution occurs only rarely for geological data. For example, if the density of an ore sample is measured ten times, then the results are usually

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Testing the Normal Distribution Hypothesishisquare test, see Sect. 5.2) or the Kolmogoroff-Smirnov test, although the latter will not be discussed in this book. However, an approximate graphical test is commonly used in practice. An even simpler estimate, which is described in Chapter 18.2.1.1.2, is sometimes used to test geochemical explor

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Standard Deviation and Variance of the Meanmean value for the population. If several samples are taken from the population, then the mean values of these samples will vary, and a standard deviation can also be calculated for this variation. It is known as the standard deviation of the mean (or the standard error of the mean) or the variance

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Estimation of the Errors collected. This therefore raises the question of how “precisely” does the mean value of the sample reflect that of the population. In other words, how large is the uncertainty of the mean value, or what is the magnitude of “the error”?