PQStat - Baza Wiedzy en:statpqpl:korelpl:nparpl https://manuals.pqstat.pl/ 2026-05-14T18:55:00+00:00 PQStat - Baza Wiedzy https://manuals.pqstat.pl/ https://manuals.pqstat.pl/lib/tpl/dokuwiki/images/favicon.ico text/html 2022-02-13T20:20:55+00:00 Anonymous (anonymous@undisclosed.example.com) The Kendall's tau correlation coefficient https://manuals.pqstat.pl/en:statpqpl:korelpl:nparpl:kendrpl The Kendall's tau correlation coefficient The test of significance for the Kendall's correlation coefficient is used to verify the hypothesis determining the lack of monotonic correlation between analysed features of population. It is based on the Kendall's tau correlation coefficient calculated for the sample. The closer to 0 the value of text/html 2022-02-13T20:48:21+00:00 Anonymous (anonymous@undisclosed.example.com) Contingency tables coefficients and their statistical significance https://manuals.pqstat.pl/en:statpqpl:korelpl:nparpl:kontrpl Contingency tables coefficients and their statistical significance The contingency coefficients are calculated for the raw data or the data gathered in a contingency table. The settings window with the measures of correlation can be opened in Statistics menu → NonParametric tests text/html 2022-02-13T20:15:37+00:00 Anonymous (anonymous@undisclosed.example.com) The Spearman's rank-order correlation coefficient https://manuals.pqstat.pl/en:statpqpl:korelpl:nparpl:spearpl The Spearman's rank-order correlation coefficient The test of significance for the Spearman's rank-order correlation coefficient is used to verify the hypothesis determining the lack of monotonic correlation between analysed features of the population and it is based on the Spearman's rank-order correlation coefficient calculated for the sample. The closer to 0 the value of text/html 2022-02-13T19:58:12+00:00 Anonymous (anonymous@undisclosed.example.com) The monotonic correlation coefficients https://manuals.pqstat.pl/en:statpqpl:korelpl:nparpl:wsppl The monotonic correlation coefficients The monotonic correlation may be described as monotonically increasing or monotonically decreasing. The relation between 2 features is presented by the monotonic increasing if the increasing of the one feature accompanies with the increasing of the other one. The relation between 2 features is presented by the monotonic decreasing if the increasing of the one feature accompanies with the decreasing of the other one.