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Parametric Tests of Hypotheses

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Applied Statistics Using SPSS, STATISTICA and MATLAB

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Abstract

In statistical data analysis an important objective is the capability of making decisions about population distributions and statistics based on samples. In order to make such decisions, a hypothesis is formulated, e.g. “is one manufacture method better than another?”, and tested using an appropriate methodology. Tests of hypotheses are an essential item in many scientific studies. In the present chapter, we describe the most fundamental tests of hypotheses, assuming that the random variable distributions are known — the so-called parametric tests. We will first, however, present a few important notions in section 4.1 that apply to parametric and to non-parametric tests alike.

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Authors and Affiliations

  1. Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Prof. Dr. Joaquim P. Marques de Sá

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  1. Prof. Dr. Joaquim P. Marques de Sá
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© 2003 Springer-Verlag Berlin Heidelberg

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Marques de Sá, J.P. (2003). Parametric Tests of Hypotheses. In: Applied Statistics Using SPSS, STATISTICA and MATLAB. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05804-6_4

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  • DOI: https://doi.org/10.1007/978-3-662-05804-6_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-05806-0

  • Online ISBN: 978-3-662-05804-6

  • eBook Packages: Springer Book Archive

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