{"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":"2026-11-09T14:40:45","modified_gmt":"2026-11-09T13:40:45","slug":"table-of-contents-6","status":"publish","type":"guide-dutilisateur","link":"https:\/\/ellistat.com\/en\/guide-dutilisateur\/sommaire-6\/","title":{"rendered":"Descriptive Statistics in Data Analysis"},"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
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