POPULAR MISCONCEPTIONS IN VERIFICATION OF STATISTICAL ASSUMPTIONS

Margarita Lambova

Abstract: Presented are arguments concerning the interpretation of the results from statistical tests. discussed are certain issues of the decision-making on the acceptance or rejection of a particular assumption, the emphasis being on the logic of the so-called p-value on the one hand, and on the other the computability of the certainty with which a particular hypothesis is accepted.<br><br>In accordance with the set research objective are revealed the main misconceptions with regard to the p-value assigned as a decision-making indicator in the statistical software, as well as with regard to the probability of the accepted hypothesis being true or false.<br><br><br>

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Date published: 2016-08-29