{"id":4622,"date":"2026-08-12T15:42:56","date_gmt":"2026-08-12T13:42:56","guid":{"rendered":"https:\/\/ellistat.com\/?post_type=guide-dutilisateur&p=4622"},"modified":"2026-08-12T15:42:56","modified_gmt":"2026-08-12T13:42:56","slug":"table-of-contents-6","status":"publish","type":"guide-dutilisateur","link":"https:\/\/ellistat.com\/en\/guide-dutilisateur\/sommaire-6\/","title":{"rendered":"Table of Contents"},"content":{"rendered":"Before explaining, we must describe. Descriptive statistics are the starting point for any analysis: they show how your measurements are distributed, whether they follow a known distribution, whether the process is stable over time, and whether it meets the tolerances. Tests, experimental designs, and machine learning come next\u2014and assume that this step has already been completed.<\/p>\n\n\n\n
Click on the \u00ab Data Analysis<\/a> \u00bb, then click \u00abDescriptive Statistics\u00bb.<\/p>\n\n\n\nSommaire - Ellistat<\/title>\n<meta name=\"description\" content=\"Avant d'expliquer, il faut d\u00e9crire. La statistique descriptive est le point d'entr\u00e9e de toute analyse : elle dit comment vos mesures se r\u00e9partissent.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ellistat.com\/en\/users-guide\/table-of-contents-6\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sommaire - Ellistat\" \/>\n<meta property=\"og:description\" content=\"Avant d'expliquer, il faut d\u00e9crire. 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