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Test-retest reliability of frequency discrimination in CI-listeners

F M Digeser1, J P Pogorzelski, A Hast

  • 1CICERO-CI Zentrum, Hals-Nasen-Ohrenklinik, Universitätsklinikum Erlangen, Erlangen, Germany. frank.digeser@uk-erlangen.de

Cochlear Implants International
|July 16, 2011
PubMed
Abstract

No abstract available in PubMed .

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A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).
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The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...