Le test d\u2019\u00e9galit\u00e9 teste l\u2019hypoth\u00e8se H0\u00a0: \u00b51 = \u00b52. La puissance d\u2019un test est la probabilit\u00e9 de rejeter l\u2019hypoth\u00e8se H0 sans commettre une erreur, c\u2019est-\u00e0-dire lorsque \u00b51 est effectivement\u00a0 diff\u00e9rente de \u00b52.<\/p>\n
\u00a0<\/p>\n
Nous voulons donc calculer la puissance du test avec un nombre n d\u2019individus gr\u00e2ce \u00e0 la fonction power.t.test(). <\/b><\/p>\n
\u00a0<\/b><\/p>\n
Exemple\u00a0: <\/b>dans une exp\u00e9rience nous avons un \u00e9cart type de 1.7, une moyenne de 1 et on prend le seuil classique \u03b1=5%. On calcule la puissance du test avec 15 individus par groupe.<\/p>\n \u00a0 \u00a0<\/p>\n Si l\u2019on d\u00e9cide de n\u2019utiliser que 15 individus dans l\u2019exp\u00e9rimentation, alors on aura 34% de chances de d\u00e9tecter une diff\u00e9rence entre les moyennes des diff\u00e9rents groupes, ce qui est peu.<\/p>\n","protected":false},"excerpt":{"rendered":" Le test d\u2019\u00e9galit\u00e9 teste l\u2019hypoth\u00e8se H0\u00a0: \u00b51 = \u00b52. La puissance d\u2019un test est la probabilit\u00e9 de rejeter l\u2019hypoth\u00e8se H0 sans commettre une erreur, c\u2019est-\u00e0-dire lorsque \u00b51 est effectivement\u00a0 diff\u00e9rente de \u00b52. \u00a0 Nous voulons donc calculer la puissance du test avec un nombre n d\u2019individus gr\u00e2ce \u00e0 la fonction power.t.test(). \u00a0 Exemple\u00a0: dans une exp\u00e9rience nous avons un \u00e9cart type de 1.7, une moyenne de 1 et on prend le seuil classique \u03b1=5%. On calcule la puissance du test avec 15 individus par groupe. power.t.test(n=15, delta=1, sd=1.7, sig.level=0.05)$power [1] 0.3430475 \u00a0 \u00a0 Si l\u2019on d\u00e9cide de n\u2019utiliser que 15 individus dans l\u2019exp\u00e9rimentation, alors onRead More →<\/a><\/p>\n","protected":false},"author":13,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":{"twitter_399453572_399453572":""},"rop_publish_now_history":[],"rop_publish_now_status":"pending","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[21],"tags":[],"class_list":{"0":"entry","1":"post","2":"publish","3":"author-helene","4":"post-3202","6":"format-standard","7":"category-test"},"acf":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p9O7Sx-PE","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts\/3202","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/comments?post=3202"}],"version-history":[{"count":2,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts\/3202\/revisions"}],"predecessor-version":[{"id":4298,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/posts\/3202\/revisions\/4298"}],"wp:attachment":[{"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/media?parent=3202"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/categories?post=3202"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thinkr.fr\/abcdr\/wp-json\/wp\/v2\/tags?post=3202"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n\npower.t.test(n=15, delta=1, sd=1.7, sig.level=0.05)$power\n\n[1] 0.3430475\n\n<\/code><\/pre>\n