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Author
Sulewski Piotr (Akademia Pomorska w Słupsku)
Title
Wyznaczanie obszaru krytycznego przy testowaniu niezależności w tablicach wielodzielczych
Determination of the Critical Area for Testing Independence in Multi-Feature Arrays
Source
Wiadomości Statystyczne, 2015, nr 3, s. 1-18, wykr., tab., bibliogr. s. 17-18
Keyword
Metodologia statystyki, Metody statystyczne, Statystyka matematyczna, Arkusze kalkulacyjne
Statistics methodology, Statistical methods, Mathematical statistics, Spreadsheets
Note
summ., rez.
Abstract
Celem artykułu jest dostarczenie czytelnikowi gotowej implementacji komputerowej napisanej w edytorze VBA (Visual Basic for Applications) arkusza kalkulacyjnego Excel, do badania niezależności dwóch i trzech cech w formie pliku zamieszczonego w Internecie. (fragment tekstu)

In the study of the independence of characteristics in the multi-feature tables X2 Pearson's statistics are the most popular. For multi-feature arrays, there are certain limitations as to the applicability of the X2 Pearson's statistics, but in an era of rapidly developing computer setting can be abolished with the critical value of computer simulation to generate the contents of multi-feature tables. The aim of the study is to provide the reader with a ready computer implementation, written in VBA editor (Visual Basic for Applications). Reading the presented theory for multi-feature tables and analysis of the examples allow the reader to carry out independent tests using X2 Pearson's statistics at any number of objects in each multi-feature table cells. (original abstract)
Accessibility
The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice
The Main Library of the Wroclaw University of Economics
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Bibliography
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  1. Campbell I. (2007), Chi-squared and Fisher-Irwin tests of two-by-two tables with small sample recommendations, "Statistics in Medicine", Vol. 26
  2. Cochran W. G. (1952), The x2 test of goodness of fit, Annals of Mathematical Statistics", Vol. 23, No. 3
  3. David H. A. (1970), Order statistics, Wiley, New York
  4. Pearson E. S. (1947), The choice of statistical tests illustrated on the interpretation of data classed in a 2x2 table, "Biometrika", Vol. 34
  5. Pearson K. (1900), On the criterion that a given system of deviations from the probable in the case of a  correlated system of variables is such that it can be reasonbly supposed to have arisen from random sampling, "Philosophy Magazine Series", Series 5, Vol. 50
  6. Shier R. (2004), The Chi-squared test for two-way tables, Mathematics Learning Support Centre
  7. Sulewski P. (2013), Modyfikacja testu niezależności, "Wiadomości Statystyczne", nr 10, GUS
  8. Yates F. (1934), Contingency table involving small numbers and the x2 test, "Journal of the Royal Statistical Society" (Supplement), No. 1
  9. Yates D., Moore D., McCabe G. (1999), The Practice of Statistics (1st Ed.), New York, W. H. Freeman.
Cited by
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ISSN
0043-518X
Language
pol
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