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The paper deals with the problem of the interpretation of the results of statistical tests in terms of the theory of possibility. The well known in statistics concept of observed test size p (also known as p-value and significance) has been given a new possibilistic interpretation and generalised for the case of imprecisely defined atatistical hypotheses and vague statistical data. The proposed approach allows a practitioner to evaluate the test results using intuitive concepts of possibility necessity or indifference.
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Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.
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Click the link below to view the content.https://www.ibspan.waw.pl/~alex/OZwRCIN/WA777_113191_RB-2002-05_Possibilistic decisions and fuzzy statistical tests_content.pdf