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Statistical Tests Based on Empty Cells

100%
Domański C., Uniwersytet Łódzki; Wydział Ekonomiczno-Socjologiczny; Instytut Statystyki i Demografii
Acta Universitatis Lodziensis. Folia Oeconomica
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2012
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vol. 269
EN
In professional literature on statistics, a constantly growing interest is observed in non-parametric methods. Commonly these methods are based on counting, rank or position statistics and on a number or length of series. In this paper, the least popular tests, namely tests based on a number of empty cells, are presented. David-Hellwig test and a two-sample consistency test are considered. Empirical power of the tests is presented in comparison to classic tests: Kolmogorov and Shapio-Wilk test for testing normality of a distribution and t-Student’s and Wilcoxon tests for testing consistency of two distributions.
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WPŁYW UMUZYKALNIENIA NA PRZYSWAJANIE PODSYSTEMU FONICZNEGO U UCZĄCYCH SIĘ JĘZYKÓW OBCYCH: WYNIKI BADANIA

71%
Piegzik W.
Neofilolog
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2014
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issue 43/2
168-179
EN
This report presents the results of a study into the relationship between musical ability and the development of a phonological system by foreign language learners. Our own experiences both as a foreign language teacher and as a musical group leader have raised a number of questions and lines of enquiry. These challenge previous researchers’ findings concerning the allegedly absolutely positive effect of music on language learning and as a result this study has been undertaken.After a brief theoretical presentation, we describe the research project in which learners abilities to distinguish and produce different phonemes as well as the prosody of the language studying are analyzed. Two groups of learners were compared in this study. One group attended a music school. The second group had no musical experience. The study showed that receptive skills were not significantly different between the two groups. The group of learners with musical training was more articulate but this was the only difference. The statistical approach used in analysis of data was the Wilcoxon test.
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