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- W2024049938 abstract "During the last 20 years geologists have used statistical methods mainly as an aid in summarizing large numbers of observations in petrology and also to some extent in other fields. In addition to summarizing data, statistics provides methods for analysis of data; and quantitative interpretations of many kinds of geologic data are possible by the use of modern techniques of statistical analysis The confidence interval provides a method for stating precisely what we mean when we present an estimate of some quantity (e.g., a mineral frequency) where the estimate is based on sample data. The terms rare or abundant as applied to frequency data can be replaced with a confidence interval, and this will be an exact statement of the probability of error involved in the estimate. Acceptance sampling is the basis of industrial quality control, and the methods involved are useful when decisions must be made on the basis of a few samples. For example, an acceptance-sampling plan could be useful in providing a means for deciding whether or not a particular gravel deposit is suitable for use as concrete aggregate or whether or not a piece of well core comes from a certain formation, etc. The usefulness for geologists in these statistical methods centers in the fact that both estimates by confidence intervals and the decisions by acceptance sampling are expressed in a precise manner. We always know what the chances are of being wrong when we make the estimate or the decision." @default.
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- W2024049938 date "1953-11-01" @default.
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- W2024049938 title "Application of Statistical Estimation and Hypothesis Testing to Geologic Data" @default.
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- W2024049938 doi "https://doi.org/10.1086/626127" @default.
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