A Selection Guide regarding some Statistical Hypothesis Tests

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The selection of an appropriate statistical hypothesis test can be regarded as a multidimensional decision problem.
The selection of an appropriate statistical hypothesis test can be regarded as a multidimensional decision problem, requiring careful consideration of at least: •Data type and scale (nominal, ordinal, interval/ratio) •Sample design (independent, paired, clustered) •Distribution assumptions (e.g. normality, homoscedasticity) •Number of groups/samples •Study objectives (e.g. mean comparison, association, goodness-of-fit) •Robustness and computational constraints Extensive literature emphasizes that misapplication of tests can invalidate inference.

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Johann Markus Schauerhuber
During his studies and academic resp. professional activities Prof. Dr. Dr. Johann Markus Schauerhuber has been intensively involved in statistical programming, stochastic, risk theory, simulation and mathematical modeling. Most of his professional experience has been gained in the university domain as an academic director, postdoc lecturer / researcher and in government authorities. Email: jm_schauerhuber@gmx.at

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