https://manuals.pqstat.pl/ 2026-05-07T16:03:08+00:00 https://manuals.pqstat.pl/ https://manuals.pqstat.pl/lib/tpl/dokuwiki/images/favicon.ico text/html 2022-03-02T18:00:02+00:00 Anonymous (anonymous@undisclosed.example.com) https://manuals.pqstat.pl/en:statpqpl:aopisowapl:statopispl:innearpl Another distribution characteristics Skewness or asymmetry coefficient in other words This measure tells us how data distribution differs from symmetrical distribution. The closer the value of skewness is to zero, the more symmetrically around the mean the data are spread. Usually the value of this coefficient is included in a range [-1, 1], but in the case of a very big asymmetry, it may occur outside the above-mentioned range. A positive skew value indicates that the right skew occurs (the t… text/html 2022-03-14T11:25:59+00:00 Anonymous (anonymous@undisclosed.example.com) https://manuals.pqstat.pl/en:statpqpl:aopisowapl:statopispl:miarpl Location measures Measures of central tendency Measures of central tendency are so-called average measures that characterize the average or typical level of a trait's values. Arithmetic mean is expressed by the formula: where is the consecutive values of the variable and text/html 2022-02-11T17:57:42+00:00 Anonymous (anonymous@undisclosed.example.com) https://manuals.pqstat.pl/en:statpqpl:aopisowapl:statopispl:miarrpl Measures of variability (dispersion) Central tendency measures knowledge is not enough to fully describe a statistical data collection structure. The researched groups may have various variation levels of a feature you want to analyse. You need some formulas then, which enable you to calculate values of variability of the features.