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THE NORMAL DISTRIBUTION AND ITS LIMITS OF APPLICABILITY,

Erich Pieruschka

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Abstract

This study is a probe into the application of normal distribution and describes the limits of mathematical description of the distribution of a technical characteristic through normal distribution, including the fitting of a population distribution through normal distribution by transformation of a statistically distributed characteristic. Finally, there is a discussion of the necessary numbers of units to be tested in order to measure a low probability. (Author)

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What this paper is about

This study is a probe into the application of normal distribution and describes the limits of mathematical description of the distribution of a technical characteristic through normal distribution, including the fitting of a population distribution through normal distribution by transformation of a statistically distributed characteristic. Finally, there is a discussion of the necessary numbers of units to be tested in order to measure a low probability. (Author)

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Available abstract

This study is a probe into the application of normal distribution and describes the limits of mathematical description of the distribution of a technical characteristic through normal distribution, including the fitting of a population distribution through normal distribution by transformation of a statistically distributed characteristic. Finally, there is a discussion of the necessary numbers of units to be tested in order to measure a low probability. (Author)

Key concepts: Normal distribution, Distribution (mathematics), Mathematics, Inverse-chi-squared distribution, Normal population, Probability distribution, Compound probability distribution, Transformation (genetics)

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