Parametric Tests of Hypotheses

Joaquim P. Marques de Sá ()
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Joaquim P. Marques de Sá: Universidade do Porto, Faculdade de Engenharia

Chapter 4 in Applied Statistics Using SPSS, STATISTICA and MATLAB, 2003, pp 85-140 from Springer

Abstract: 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.

Keywords: Null Hypothesis; Alternative Hypothesis; Parametric Test; Standardise Effect; Power Curve (search for similar items in EconPapers)
Date: 2003
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DOI: 10.1007/978-3-662-05804-6_4

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