{"id":56,"date":"2021-12-21T23:19:28","date_gmt":"2021-12-21T21:19:28","guid":{"rendered":"https:\/\/mat.uab.cat\/web\/sea\/?p=56"},"modified":"2022-01-13T17:10:26","modified_gmt":"2022-01-13T15:10:26","slug":"average-contents-2","status":"publish","type":"post","link":"https:\/\/mat.uab.cat\/web\/sea\/2021\/12\/21\/average-contents-2\/","title":{"rendered":"Average contents: 2"},"content":{"rendered":"<p>Sometimes average is not the most usefull summary statistic.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-medium aligncenter\" src=\"http:\/\/mat.uab.cat\/web\/sea\/wp-content\/uploads\/sites\/27\/2022\/01\/average2-scaled.jpg\" width=\"300\" height=\"168\"><\/p>\n<p>To describe the location of the center of a sample of data, we usually consider the following indexes:<\/p>\n<ul>\n<li>Mean<\/li>\n<li>Median<\/li>\n<\/ul>\n<p>Depending on the type of data other indexes could be even more informative:<\/p>\n<ul>\n<li>Half point: (Max-Min)\/2<\/li>\n<li>Trimmed mean<\/li>\n<li>Geometric mean<\/li>\n<\/ul>\n<p>Moreover, in occasions, the location of the center does not add much information, whereas a measure of the data sparsity is more meaningful. To quantify dispersion we usually consider the following indexes:<\/p>\n<ul>\n<li>Standard deviation<\/li>\n<li>Variance<\/li>\n<li>Range<\/li>\n<li>Interquartilic Range<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Sometimes average is not the most usefull summary statistic. To describe the location of the center of a sample of data, we usually consider the following indexes: Mean Median Depending on the type of data other indexes could be even more informative: Half point: (Max-Min)\/2 Trimmed mean Geometric mean Moreover, in occasions, the location of&hellip; <a class=\"more-link\" href=\"https:\/\/mat.uab.cat\/web\/sea\/2021\/12\/21\/average-contents-2\/\">Continueu llegint <span class=\"screen-reader-text\">Average contents: 2<\/span><\/a><\/p>\n","protected":false},"author":37,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-56","post","type-post","status-publish","format-standard","hentry","category-general","entry"],"_links":{"self":[{"href":"https:\/\/mat.uab.cat\/web\/sea\/wp-json\/wp\/v2\/posts\/56","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mat.uab.cat\/web\/sea\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mat.uab.cat\/web\/sea\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mat.uab.cat\/web\/sea\/wp-json\/wp\/v2\/users\/37"}],"replies":[{"embeddable":true,"href":"https:\/\/mat.uab.cat\/web\/sea\/wp-json\/wp\/v2\/comments?post=56"}],"version-history":[{"count":2,"href":"https:\/\/mat.uab.cat\/web\/sea\/wp-json\/wp\/v2\/posts\/56\/revisions"}],"predecessor-version":[{"id":138,"href":"https:\/\/mat.uab.cat\/web\/sea\/wp-json\/wp\/v2\/posts\/56\/revisions\/138"}],"wp:attachment":[{"href":"https:\/\/mat.uab.cat\/web\/sea\/wp-json\/wp\/v2\/media?parent=56"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mat.uab.cat\/web\/sea\/wp-json\/wp\/v2\/categories?post=56"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mat.uab.cat\/web\/sea\/wp-json\/wp\/v2\/tags?post=56"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}