{"id":6133,"date":"2026-03-23T14:26:18","date_gmt":"2026-03-23T14:26:18","guid":{"rendered":"https:\/\/striko.de\/encyclopedia\/coefficient-of-variation\/"},"modified":"2026-03-23T14:40:37","modified_gmt":"2026-03-23T14:40:37","slug":"coefficient-of-variation","status":"publish","type":"encyclopedia","link":"https:\/\/striko.de\/en\/encyclopedia\/coefficient-of-variation\/","title":{"rendered":"Coefficient of variation (CoV)"},"content":{"rendered":"<p>The coefficient of variation is a statistical measure that describes the ratio of the standard deviation of the concentration distribution to the mean value across the pipe cross-section. The value can therefore be interpreted as the relative error of the target composition across the mixer cross-section.<\/p>\n<p>Mathematically, it can take values between 0 and 1, where 1 indicates a completely segregated state (<a href=\"https:\/\/striko.de\/en\/encyclopedia\/goodness-of-mixture\/\" target=\"_self\" title=\"Mixing quality is a measure of the homogeneity or uniformity of a mixture and is calculated using basic statistical parameters. The most commonly used measure is the coefficient of variation. When designing static mixers, it is necessary to determine which type of mixing element and how many mixing elements are required to achieve the desired&hellip;\" class=\"encyclopedia\">goodness of mixture<\/a> 0 %) and 0 indicates a completely ideal mixture (<a href=\"https:\/\/striko.de\/en\/encyclopedia\/goodness-of-mixture\/\" target=\"_self\" title=\"Mixing quality is a measure of the homogeneity or uniformity of a mixture and is calculated using basic statistical parameters. The most commonly used measure is the coefficient of variation. When designing static mixers, it is necessary to determine which type of mixing element and how many mixing elements are required to achieve the desired&hellip;\" class=\"encyclopedia\">goodness of mixture<\/a> 100 %), which, however, cannot be achieved in reality. A coefficient of variation of 0.05 is generally considered technically homogeneous. This value is also referred to as a mixing quality of 95 %.<\/p>\n<p>With a sample precision of 95 %, statistically 95 % of the samples fall within a range of +\/- 10 % and around 68 % of all samples fall within a range of +\/- 5 % of the target composition. This holds true for all normally distributed random experiments.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The coefficient of variation is a statistical measure that describes the ratio of the standard deviation of the concentration distribution to the mean value across the pipe cross-section. The value can therefore be interpreted as the relative error of the target composition across the mixer cross-section. Mathematically, it can take values between 0 and 1, where 1 indicates a completely &#8230; <a href=\"https:\/\/striko.de\/en\/encyclopedia\/coefficient-of-variation\/\" class=\"more-link\">Read More<\/a><\/p>\n","protected":false},"author":7,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false},"encyclopedia-tag":[],"class_list":["post-6133","encyclopedia","type-encyclopedia","status-publish","hentry","no-post-thumbnail"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Coefficient of variation (CoV) | STRIKO Verfahrenstechnik GmbH<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/striko.de\/en\/encyclopedia\/coefficient-of-variation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Coefficient of variation (CoV) | STRIKO Verfahrenstechnik GmbH\" \/>\n<meta property=\"og:description\" content=\"The coefficient of variation is a statistical measure that describes the ratio of the standard deviation of the concentration distribution to the mean value across the pipe cross-section. 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The value can therefore be interpreted as the relative error of the target composition across the mixer cross-section. Mathematically, it can take values between 0 and 1, where 1 indicates a completely ... 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