Abstract
This study proposes a new test for testing the symmetry in the distribution of the data observed on a random variable. The test for symmetry has been constructed using a characterization result derived based on the extropy of k-records. The empirical density and critical values of the newly proposed test statistic have been obtained in this work. This study also analyses the performance of the test statistic based on the power values computed using Monte Carlo simulation methods and a comparison study with 10 competitor tests has been carried out. Moreover, the test procedure has been implemented on four real-life data sets to verify its performance in identifying the symmetric nature.
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