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Statistical Methods

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In particular, studies that use test persons in any form face the problem of data variance, which goes far beyond the extent to which one is used to in the technical field. Statistical methods are used to determine whether a result found in an experiment can be accepted or must be rejected. Two different types of questions can be distinguished, namely: Determination of the expression of certain characteristics in the relevant population (e.g.: is the test subject group used representative of the later clientele?) and examination of the difference in various conditions (e.g.: does a new display instrument lead to shorter reaction times than the conventional one?) For the first question the questions of sampling and the determination of the respective characteristics are of particular interest. The confidence interval indicates how precisely a sampling parameter reflects the conditions of the population. If it is a question of the difference between different conditions (second question), a test plan has to be drawn up with regard to the statistical evaluability depending on the object of investigation. Significance tests can then be used to decide on the acceptance of an experimental result. In doing so, one has to especially protect oneself against the so-called alpha and beta error, which each characterize the probability of a wrong decision. Since the results of such statistical evaluations often show multiple dependencies, special attention must be paid to the type of presentation (tabular or graphic) in order to make the result clear to the user of the study.

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Correspondence to Mark Vollrath .

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Vollrath, M. (2021). Statistical Methods. In: Bubb, H., Bengler, K., Grünen, R.E., Vollrath, M. (eds) Automotive Ergonomics. Springer, Wiesbaden.

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