{"id":2371,"date":"2021-11-02T17:46:14","date_gmt":"2021-11-02T17:46:14","guid":{"rendered":"https:\/\/www.psyctc.org\/psyctc\/?post_type=docs&#038;p=2371"},"modified":"2024-04-07T18:48:19","modified_gmt":"2024-04-07T16:48:19","password":"","slug":"distribution","status":"publish","type":"docs","link":"https:\/\/www.psyctc.org\/psyctc\/glossary2\/distribution\/","title":{"rendered":"Distribution"},"content":{"rendered":"\n<figure class=\"wp-block-table\"><table><tbody><tr><td>The frequencies of values for a variable. The term is more often applied to continuous variables than discrete variables but applies to both. For example the distribution of (binary) gender for referrals might be 70:30::F:M. For continuous variables the distribution can be shown by histograms or, with much less detail, box plots. <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Try also<\/h4>\n\n\n\n<p><a href=\"https:\/\/www.psyctc.org\/psyctc\/glossary2\/distribution-shape\/\" title=\"\">Distribution shape<\/a><br><a data-type=\"docs\" data-id=\"2383\" href=\"https:\/\/www.psyctc.org\/psyctc\/glossary2\/gaussian-normal-distribution\/\">Gaussian (\u201cNormal\u201d) Distribution<\/a><br><a data-type=\"docs\" data-id=\"2277\" href=\"https:\/\/www.psyctc.org\/psyctc\/glossary2\/skew-skew-distribution\/\">Skew<\/a><br><a data-type=\"docs\" data-id=\"2469\" href=\"https:\/\/www.psyctc.org\/psyctc\/glossary2\/boxplot-or-box-plot\/\">Box plot (and boxplot!)<\/a><br><a data-type=\"docs\" data-id=\"2509\" href=\"https:\/\/www.psyctc.org\/psyctc\/glossary2\/violin-plot-or-violinplot\/\">Violin plot (and violinplot!)<\/a><br><a data-type=\"docs\" data-id=\"2414\" href=\"https:\/\/www.psyctc.org\/psyctc\/glossary2\/histograms-and-barplots\/\">Histogram<\/a><br><a data-type=\"docs\" data-id=\"2373\" href=\"https:\/\/www.psyctc.org\/psyctc\/glossary2\/uniform-distribution\/\">Uniform distribution<\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Chapters<\/h4>\n\n\n\n<p>Chapters 5, 7 and 8.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Online resources<\/h4>\n\n\n\n<p>* You can generate samples from distributions using my shiny app: <a href=\"https:\/\/shiny.psyctc.org\/apps\/Create_univariate_data\/\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/shiny.psyctc.org\/apps\/Create_univariate_data\/<\/a>.  At the moment it only creates Gaussian and uniform distributions but more distributions may follow.  You can download the data or copy and paste it to other apps.<br>* You could then paste the data into another app: <a href=\"https:\/\/shiny.psyctc.org\/apps\/ECDFplot\/\" target=\"_blank\" rel=\"noopener\" title=\"\">https:\/\/shiny.psyctc.org\/apps\/ECDFplot\/<\/a> to get a sense of how your samples change was you change the size or the population parameters (mean and SD for the Gaussian; minimum and maximum for the uniform distribution).<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Dates<\/h4>\n\n\n\n<p>Created 2.xi.21, updated links 7.iv.24.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The frequencies of values for a variable. The term is more often applied to continuous variables than discrete variables but applies to both. For example the distribution of (binary) gender for referrals might be 70:30::F:M. For continuous variables the distribution can be shown by histograms or, with much less detail, box plots. Try also Distribution &hellip; <a href=\"https:\/\/www.psyctc.org\/psyctc\/glossary2\/distribution\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Distribution<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"footnotes":""},"doc_category":[18],"glossaries":[],"doc_tag":[],"knowledge_base":[],"class_list":["post-2371","docs","type-docs","status-publish","hentry","doc_category-om-book"],"year_month":"2026-04","word_count":171,"total_views":"1385","reactions":{"happy":"0","normal":"0","sad":"0"},"author_info":{"name":"chris","author_nicename":"chris","author_url":"https:\/\/www.psyctc.org\/psyctc\/author\/chris\/"},"doc_category_info":[{"term_name":"All OM book glossary entries","term_url":"https:\/\/www.psyctc.org\/psyctc\/glossary\/non-knowledgebase\/om-book\/"}],"doc_tag_info":[],"knowledge_base_info":[],"knowledge_base_slug":[],"_links":{"self":[{"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/docs\/2371","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/types\/docs"}],"author":[{"embeddable":true,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/comments?post=2371"}],"version-history":[{"count":5,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/docs\/2371\/revisions"}],"predecessor-version":[{"id":4129,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/docs\/2371\/revisions\/4129"}],"wp:attachment":[{"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/media?parent=2371"}],"wp:term":[{"taxonomy":"doc_category","embeddable":true,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/doc_category?post=2371"},{"taxonomy":"glossaries","embeddable":true,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/glossaries?post=2371"},{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/doc_tag?post=2371"},{"taxonomy":"knowledge_base","embeddable":true,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/knowledge_base?post=2371"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}