Titlebook: Exploration-Geochemical Data Analysis with the IBM PC; George S. Koch Book 1987 Van Nostrand Reinhold Company Inc. 1987 data analysis.expl

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Child Miners in Cajamarca, Peru,The frequency tables you prepared in Chapter 4 provide summaries of your data files. Because it is even easier to look at a picture than to read a table, you generally will want to draw a . to represent a frequency table pictorially.

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https://doi.org/10.1007/0-306-48059-XMany data sets in exploration geochemistry contain variables that are distributed lognormally, meaning that the logarithms of the observations rather than the observations themselves follow a normal distribution more or less closely. Indeed, for many data sets all of the geochemical variables may be distributed lognormally.

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Hazardous Waste Legislation /Organization,We often want to compare a pair of variables to learn if they plot on an approximately straight line or, in other words, if they are related through a simple linear regression. The method is explained in .;. you will also find an explanation in standard statistical textbooks.

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Qindii Shafi,Ali Elkamel,Zarook ShareefdeenPlotting data is essential for recognizing patterns and relationships among variables. A plot also will help you identify unusual values that may be anomalous or that may be mistakes.

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Making Histograms,The frequency tables you prepared in Chapter 4 provide summaries of your data files. Because it is even easier to look at a picture than to read a table, you generally will want to draw a . to represent a frequency table pictorially.

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Working with Logarithms,Many data sets in exploration geochemistry contain variables that are distributed lognormally, meaning that the logarithms of the observations rather than the observations themselves follow a normal distribution more or less closely. Indeed, for many data sets all of the geochemical variables may be distributed lognormally.

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Comparing Paired Observations,We often want to compare a pair of variables to learn if they plot on an approximately straight line or, in other words, if they are related through a simple linear regression. The method is explained in .;. you will also find an explanation in standard statistical textbooks.

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