{"id":3347,"date":"2023-07-17T23:22:52","date_gmt":"2023-07-17T23:22:52","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%ab%d9%84%d8%a7%d8%ab%d9%8a-%d8%a7%d9%94%d9%86%d9%88%d9%81%d8%a7-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/"},"modified":"2023-07-17T23:22:52","modified_gmt":"2023-07-17T23:22:52","slug":"%d8%ab%d9%84%d8%a7%d8%ab%d9%8a-%d8%a7%d9%94%d9%86%d9%88%d9%81%d8%a7-%d8%a8%d9%8a%d8%ab%d9%88%d9%86","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%ab%d9%84%d8%a7%d8%ab%d9%8a-%d8%a7%d9%94%d9%86%d9%88%d9%81%d8%a7-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0625\u062c\u0631\u0627\u0621 anova \u062b\u0644\u0627\u062b\u064a \u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646"},"content":{"rendered":"<p><\/p>\n<hr>\n<p style=\";text-align:right;direction:rtl\"><span style=\"color: #000000;\">\u064a\u062a\u0645 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 <strong>ANOVA \u062b\u0644\u0627\u062b\u064a \u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a<\/strong> \u0644\u062a\u062d\u062f\u064a\u062f \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0647\u0646\u0627\u0643 \u0641\u0631\u0642 \u0630\u0648 \u062f\u0644\u0627\u0644\u0629 \u0625\u062d\u0635\u0627\u0626\u064a\u0629 \u0628\u064a\u0646 \u0645\u062a\u0648\u0633\u0637\u0627\u062a \u062b\u0644\u0627\u062b \u0645\u062c\u0645\u0648\u0639\u0627\u062a \u0645\u0633\u062a\u0642\u0644\u0629 \u0623\u0648 \u0623\u0643\u062b\u0631 \u062a\u0645 \u062a\u0648\u0632\u064a\u0639\u0647\u0627 \u0639\u0628\u0631 \u062b\u0644\u0627\u062b\u0629 \u0639\u0648\u0627\u0645\u0644 \u0623\u0645 \u0644\u0627.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0648\u0636\u062d \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0625\u062c\u0631\u0627\u0621 ANOVA \u062b\u0644\u0627\u062b\u064a \u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a \u0641\u064a Python.<\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644: \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u062a\u0628\u0627\u064a\u0646 \u062b\u0644\u0627\u062b\u064a \u0627\u0644\u0627\u062a\u062c\u0627\u0647 \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0623\u062d\u062f \u0627\u0644\u0628\u0627\u062d\u062b\u064a\u0646 \u064a\u0631\u064a\u062f \u062a\u062d\u062f\u064a\u062f \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0628\u0631\u0646\u0627\u0645\u062c\u0627\u0646 \u062a\u062f\u0631\u064a\u0628\u064a\u0627\u0646 \u064a\u0624\u062f\u064a\u0627\u0646 \u0625\u0644\u0649 \u062a\u062d\u0633\u064a\u0646\u0627\u062a \u0645\u062a\u0648\u0633\u0637\u0629 \u0645\u062e\u062a\u0644\u0641\u0629 \u0641\u064a \u0627\u0631\u062a\u0641\u0627\u0639 \u0627\u0644\u0642\u0641\u0632 \u0628\u064a\u0646 \u0644\u0627\u0639\u0628\u064a \u0643\u0631\u0629 \u0627\u0644\u0633\u0644\u0629 \u0641\u064a \u0627\u0644\u0643\u0644\u064a\u0629.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0648\u064a\u0634\u062a\u0628\u0647 \u0627\u0644\u0628\u0627\u062d\u062b \u0641\u064a \u0623\u0646 \u0627\u0644\u062c\u0646\u0633 \u0648\u0627\u0644\u062a\u0642\u0633\u064a\u0645 (\u0627\u0644\u0642\u0633\u0645 \u0627\u0644\u0623\u0648\u0644 \u0623\u0648 \u0627\u0644\u062b\u0627\u0646\u064a) \u0642\u062f \u064a\u0624\u062b\u0631\u0627\u0646 \u0623\u064a\u0636\u064b\u0627 \u0639\u0644\u0649 \u0627\u0631\u062a\u0641\u0627\u0639 \u0627\u0644\u0642\u0641\u0632\u0629\u060c \u0648\u0644\u0647\u0630\u0627 \u0627\u0644\u0633\u0628\u0628 \u064a\u0642\u0648\u0645 \u0628\u062c\u0645\u0639 \u0628\u064a\u0627\u0646\u0627\u062a \u0639\u0646 \u0647\u0630\u0647 \u0627\u0644\u0639\u0648\u0627\u0645\u0644 \u0623\u064a\u0636\u064b\u0627.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0647\u062f\u0641\u0647 \u0647\u0648 \u0625\u062c\u0631\u0627\u0621 \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u062a\u0628\u0627\u064a\u0646 \u062b\u0644\u0627\u062b\u064a \u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a \u0644\u062a\u062d\u062f\u064a\u062f \u0643\u064a\u0641\u064a\u0629 \u062a\u0623\u062b\u064a\u0631 \u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0648\u0627\u0644\u062c\u0646\u0633 \u0648\u0627\u0644\u062a\u0642\u0633\u064a\u0645 \u0639\u0644\u0649 \u0627\u0631\u062a\u0641\u0627\u0639 \u0627\u0644\u0642\u0641\u0632\u0629.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0627\u0633\u062a\u062e\u062f\u0645 \u0627\u0644\u062e\u0637\u0648\u0627\u062a \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u0625\u062c\u0631\u0627\u0621 ANOVA \u062b\u0644\u0627\u062b\u064a \u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a \u0641\u064a Python:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u062e\u0637\u0648\u0629 1: \u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a<\/strong><\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0623\u0648\u0644\u0627\u064b\u060c \u0644\u0646\u0642\u0645 \u0628\u0625\u0646\u0634\u0627\u0621 \u0625\u0637\u0627\u0631 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0644\u0644\u0627\u062d\u062a\u0641\u0627\u0638 \u0628\u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n<span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">program<\/span> ': <span style=\"color: #3366ff;\">np.repeat<\/span> ([1,2],20),\n                   ' <span style=\"color: #ff0000;\">gender<\/span> ': np. <span style=\"color: #3366ff;\">tile<\/span> (np. <span style=\"color: #3366ff;\">repeat<\/span> (['M', 'F'], 10), 2),\n                   ' <span style=\"color: #ff0000;\">division<\/span> ': np. <span style=\"color: #3366ff;\">tile<\/span> (np. <span style=\"color: #3366ff;\">repeat<\/span> ([1, 2], 5), 4),\n                   ' <span style=\"color: #ff0000;\">height<\/span> ': [7, 7, 8, 8, 7, 6, 6, 5, 6, 5,\n                              5, 5, 4, 5, 4, 3, 3, 4, 3, 3,\n                              6, 6, 5, 4, 5, 4, 5, 4, 4, 3,\n                              2, 2, 1, 4, 4, 2, 1, 1, 2, 1]})\n\n<span style=\"color: #008080;\">#view first ten rows of DataFrame \n<\/span>df[:10]\n\n\tprogram gender division height\n0 1 M 1 7\n1 1 M 1 7\n2 1 M 1 8\n3 1 M 1 8\n4 1 M 1 7\n5 1 M 2 6\n6 1 M 2 6\n7 1 M 2 5\n8 1 M 2 6\n9 1 M 2 5\n<\/strong><\/span><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u062e\u0637\u0648\u0629 2: \u0625\u062c\u0631\u0627\u0621 \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u062a\u0628\u0627\u064a\u0646 \u0627\u0644\u062b\u0644\u0627\u062b\u064a<\/strong><\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0628\u0639\u062f \u0630\u0644\u0643\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 <strong>anova_lm()<\/strong> \u0645\u0646 \u0645\u0643\u062a\u0628\u0629 <strong>statsmodels<\/strong> \u0644\u0625\u062c\u0631\u0627\u0621 \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u062a\u0628\u0627\u064a\u0646 \u0627\u0644\u062b\u0644\u0627\u062b\u064a:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> statsmodels. <span style=\"color: #3366ff;\">api<\/span> <span style=\"color: #008000;\">as<\/span> sm\n<span style=\"color: #008000;\">from<\/span> statsmodels. <span style=\"color: #3366ff;\">formula<\/span> . <span style=\"color: #3366ff;\">api<\/span> <span style=\"color: #008000;\">import<\/span> ols\n\n<span style=\"color: #008080;\">#perform three-way ANOVA\n<\/span>model = ols(\"\"\"height ~ C(program) + C(gender) + C(division) +\n               C(program):C(gender) + C(program):C(division) + C(gender):C(division) +\n               C(program):C(gender):C(division)\"\"\", data=df) <span style=\"color: #3366ff;\">.fit<\/span> ()\n\nsm. <span style=\"color: #3366ff;\">stats<\/span> . <span style=\"color: #3366ff;\">anova_lm<\/span> (model, typ= <span style=\"color: #008000;\">2<\/span> )\n\n\t                          sum_sq df F PR(&gt;F)\nC(program) 3.610000e+01 1.0 6.563636e+01 2.983934e-09\nC(gender) 6.760000e+01 1.0 1.229091e+02 1.714432e-12\nC(division) 1.960000e+01 1.0 3.563636e+01 1.185218e-06\nC(program):C(gender) 2.621672e-30 1.0 4.766677e-30 1.000000e+00\nC(program):C(division) 4.000000e-01 1.0 7.272727e-01 4.001069e-01\nC(gender):C(division) 1.000000e-01 1.0 1.818182e-01 6.726702e-01\nC(program):C(gender):C(division) 1.000000e-01 1.0 1.818182e-01 6.726702e-01\nResidual 1.760000e+01 32.0 NaN NaN<\/strong><\/span><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0627\u0644\u062e\u0637\u0648\u0629 3: \u062a\u0641\u0633\u064a\u0631 \u0627\u0644\u0646\u062a\u0627\u0626\u062c<\/strong><\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0639\u0631\u0636 \u0627\u0644\u0639\u0645\u0648\u062f <strong>Pr(&gt;F)<\/strong> \u0627\u0644\u0642\u064a\u0645\u0629 p \u0644\u0643\u0644 \u0639\u0627\u0645\u0644 \u0639\u0644\u0649 \u062d\u062f\u0629 \u0648\u0627\u0644\u062a\u0641\u0627\u0639\u0644\u0627\u062a \u0628\u064a\u0646 \u0627\u0644\u0639\u0648\u0627\u0645\u0644.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0648\u0645\u0646 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u0631\u0649 \u0623\u0646 \u0623\u064a\u0627 \u0645\u0646 \u0627\u0644\u062a\u0641\u0627\u0639\u0644\u0627\u062a \u0628\u064a\u0646 \u0627\u0644\u0639\u0648\u0627\u0645\u0644 \u0627\u0644\u062b\u0644\u0627\u062b\u0629 \u0644\u0645 \u062a\u0643\u0646 \u0630\u0627\u062a \u062f\u0644\u0627\u0644\u0629 \u0625\u062d\u0635\u0627\u0626\u064a\u0629.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u064a\u0636\u064b\u0627 \u0623\u0646 \u0646\u0631\u0649 \u0623\u0646 \u0643\u0644 \u0639\u0627\u0645\u0644 \u0645\u0646 \u0627\u0644\u0639\u0648\u0627\u0645\u0644 \u0627\u0644\u062b\u0644\u0627\u062b\u0629 (\u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0648\u0627\u0644\u062c\u0646\u0633 \u0648\u0627\u0644\u0642\u0633\u0645) \u0643\u0627\u0646 \u0630\u0627 \u062f\u0644\u0627\u0644\u0629 \u0625\u062d\u0635\u0627\u0626\u064a\u0629 \u0645\u0639 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0627\u062d\u062a\u0645\u0627\u0644\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n<ul style=\";text-align:right;direction:rtl\">\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0642\u064a\u0645\u0629 <strong>\u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c<\/strong> P: 0.00000000298<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0642\u064a\u0645\u0629 P <strong>\u0644\u0644\u062c\u0646\u0633<\/strong> : 0.00000000000171<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0642\u064a\u0645\u0629 <strong>\u0627\u0644\u0642\u0633\u0645\u0629<\/strong> P: 0.00000185<\/span><\/li>\n<\/ul>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0641\u064a \u0627\u0644\u062e\u062a\u0627\u0645\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0644\u0642\u0648\u0644 \u0623\u0646 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u062f\u0631\u064a\u0628\u064a \u0648\u0627\u0644\u062c\u0646\u0633 \u0648\u0627\u0644\u062a\u0642\u0633\u064a\u0645 \u0643\u0644\u0647\u0627 \u0645\u0624\u0634\u0631\u0627\u062a \u0647\u0627\u0645\u0629 \u0644\u0632\u064a\u0627\u062f\u0629 \u0627\u0631\u062a\u0641\u0627\u0639 \u0627\u0644\u0642\u0641\u0632 \u0644\u062f\u0649 \u0627\u0644\u0644\u0627\u0639\u0628\u064a\u0646.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0648\u0646\u0648\u062f \u0623\u0646 \u0646\u0642\u0648\u0644 \u0623\u064a\u0636\u064b\u0627 \u0623\u0646\u0647 \u0644\u0627 \u062a\u0648\u062c\u062f \u062a\u0623\u062b\u064a\u0631\u0627\u062a \u062a\u0641\u0627\u0639\u0644\u064a\u0629 \u0643\u0628\u064a\u0631\u0629 \u0628\u064a\u0646 \u0647\u0630\u0647 \u0627\u0644\u0639\u0648\u0627\u0645\u0644 \u0627\u0644\u062b\u0644\u0627\u062b\u0629.<\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0634\u0631\u062d \u0627\u0644\u0628\u0631\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0645\u0644\u0627\u0621\u0645\u0629 \u0646\u0645\u0627\u0630\u062c ANOVA \u0627\u0644\u0623\u062e\u0631\u0649 \u0641\u064a Python:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <a href=\"https:\/\/statorials.org\/ar\/\u0637\u0631\u064a\u0642\u0629-\u0648\u0627\u062d\u062f\u0629-\u0627\u0654\u0646\u0648\u0641\u0627-\u0628\u064a\u062b\u0648\u0646\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0625\u062c\u0631\u0627\u0621 ANOVA \u0623\u062d\u0627\u062f\u064a \u0627\u0644\u0627\u062a\u062c\u0627\u0647 \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0628\u064a\u062b\u0648\u0646-\u0627\u0654\u0646\u0648\u0641\u0627-\u062b\u0646\u0627\u064a\u0654\u064a-\u0627\u0644\u0627\u062a\u062c\u0627\u0647\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0625\u062c\u0631\u0627\u0621 ANOVA \u062b\u0646\u0627\u0626\u064a \u0627\u0644\u0627\u062a\u062c\u0627\u0647 \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0642\u064a\u0627\u0633\u0627\u062a-\u0627\u0644\u0645\u062a\u0643\u0631\u0631\u0629-\u0627\u0654\u0646\u0648\u0641\u0627-\u0628\u064a\u062b\u0648\u0646\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u062a\u0646\u0641\u064a\u0630 \u0627\u0644\u062a\u062f\u0627\u0628\u064a\u0631 \u0627\u0644\u0645\u062a\u0643\u0631\u0631\u0629 ANOVA \u0641\u064a \u0628\u064a\u062b\u0648\u0646<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u064a\u062a\u0645 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 ANOVA \u062b\u0644\u0627\u062b\u064a \u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a \u0644\u062a\u062d\u062f\u064a\u062f \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0647\u0646\u0627\u0643 \u0641\u0631\u0642 \u0630\u0648 \u062f\u0644\u0627\u0644\u0629 \u0625\u062d\u0635\u0627\u0626\u064a\u0629 \u0628\u064a\u0646 \u0645\u062a\u0648\u0633\u0637\u0627\u062a \u062b\u0644\u0627\u062b \u0645\u062c\u0645\u0648\u0639\u0627\u062a \u0645\u0633\u062a\u0642\u0644\u0629 \u0623\u0648 \u0623\u0643\u062b\u0631 \u062a\u0645 \u062a\u0648\u0632\u064a\u0639\u0647\u0627 \u0639\u0628\u0631 \u062b\u0644\u0627\u062b\u0629 \u0639\u0648\u0627\u0645\u0644 \u0623\u0645 \u0644\u0627. \u064a\u0648\u0636\u062d \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0625\u062c\u0631\u0627\u0621 ANOVA \u062b\u0644\u0627\u062b\u064a \u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a \u0641\u064a Python. \u0645\u062b\u0627\u0644: \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u062a\u0628\u0627\u064a\u0646 \u062b\u0644\u0627\u062b\u064a \u0627\u0644\u0627\u062a\u062c\u0627\u0647 \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646 \u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0623\u062d\u062f \u0627\u0644\u0628\u0627\u062d\u062b\u064a\u0646 \u064a\u0631\u064a\u062f \u062a\u062d\u062f\u064a\u062f \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0628\u0631\u0646\u0627\u0645\u062c\u0627\u0646 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u0643\u064a\u0641\u064a\u0629 \u0625\u062c\u0631\u0627\u0621 \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u062a\u0628\u0627\u064a\u0646 \u062b\u0644\u0627\u062b\u064a \u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a \u0641\u064a \u0644\u063a\u0629 \u0628\u0627\u064a\u062b\u0648\u0646 - Statorials<\/title>\n<meta name=\"description\" content=\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u0625\u062c\u0631\u0627\u0621 ANOVA \u062b\u0644\u0627\u062b\u064a \u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a \u0641\u064a Python\u060c \u0645\u0639 \u0645\u062b\u0627\u0644.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ar\/\u062b\u0644\u0627\u062b\u064a-\u0627\u0654\u0646\u0648\u0641\u0627-\u0628\u064a\u062b\u0648\u0646\/\" \/>\n<meta property=\"og:locale\" content=\"az_AZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0643\u064a\u0641\u064a\u0629 \u0625\u062c\u0631\u0627\u0621 \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u062a\u0628\u0627\u064a\u0646 \u062b\u0644\u0627\u062b\u064a \u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a \u0641\u064a \u0644\u063a\u0629 \u0628\u0627\u064a\u062b\u0648\u0646 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 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