https://manuals.pqstat.pl/ 2026-05-07T16:04:09+00:00 https://manuals.pqstat.pl/ https://manuals.pqstat.pl/lib/tpl/dokuwiki/images/favicon.ico text/html 2022-02-11T18:18:27+00:00 Anonymous (anonymous@undisclosed.example.com) https://manuals.pqstat.pl/en:statpqpl:porown1grpl:nparpl:chigoodnespl The Chi-square goodness-of-fit test The test (goodnes-of-fit) is also called the one sample test and is used to test the compatibility of values observed for () categories of one feature with hypothetical expected values for this feature. The values of all text/html 2022-02-11T18:37:12+00:00 Anonymous (anonymous@undisclosed.example.com) https://manuals.pqstat.pl/en:statpqpl:porown1grpl:nparpl:proppl Tests for one proportion You should use tests for proportion if there are two possible results to obtain (one of them is an distinguished result with the size of m) and you know how often these results occur in the sample (we know a Z proportion). Depending on a sample size text/html 2022-09-14T14:12:29+00:00 Anonymous (anonymous@undisclosed.example.com) https://manuals.pqstat.pl/en:statpqpl:porown1grpl:nparpl:wilcoxon1grpl The Wilcoxon test (signed-ranks) The Wilcoxon signed-ranks test is also known as the Wilcoxon single sample test, Wilcoxon (1945, 1949). This test is used to verify the hypothesis, that the analysed sample comes from the population, where median (