{"id":862,"date":"2023-07-28T12:11:13","date_gmt":"2023-07-28T12:11:13","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%b4%d0%be%d0%b2%d0%b5%d1%80%d0%b8%d1%82%d0%b5%d0%bb%d1%8c%d0%bd%d1%8b%d0%b5-%d0%b8%d0%bd%d1%82%d0%b5%d1%80%d0%b2%d0%b0%d0%bb%d1%8b-python\/"},"modified":"2023-07-28T12:11:13","modified_gmt":"2023-07-28T12:11:13","slug":"%d0%b4%d0%be%d0%b2%d0%b5%d1%80%d0%b8%d1%82%d0%b5%d0%bb%d1%8c%d0%bd%d1%8b%d0%b5-%d0%b8%d0%bd%d1%82%d0%b5%d1%80%d0%b2%d0%b0%d0%bb%d1%8b-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%b4%d0%be%d0%b2%d0%b5%d1%80%d0%b8%d1%82%d0%b5%d0%bb%d1%8c%d0%bd%d1%8b%d0%b5-%d0%b8%d0%bd%d1%82%d0%b5%d1%80%d0%b2%d0%b0%d0%bb%d1%8b-python\/","title":{"rendered":"\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u044b \u0432 python"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u0414\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b \u0434\u043b\u044f \u0441\u0440\u0435\u0434\u043d\u0435\u0433\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f<\/strong> \u2014 \u044d\u0442\u043e \u0434\u0438\u0430\u043f\u0430\u0437\u043e\u043d \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043c\u043e\u0436\u0435\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0442\u044c \u0441\u0440\u0435\u0434\u043d\u0435\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0433\u0435\u043d\u0435\u0440\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u043e\u0432\u043e\u043a\u0443\u043f\u043d\u043e\u0441\u0442\u0438 \u0441 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u043c \u0443\u0440\u043e\u0432\u043d\u0435\u043c \u0434\u043e\u0441\u0442\u043e\u0432\u0435\u0440\u043d\u043e\u0441\u0442\u0438.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041e\u043d \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u044b\u0432\u0430\u0435\u0442\u0441\u044f \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0414\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b =<\/strong> <strong><span style=\"text-decoration: overline;\">x<\/span> +\/- t*(s\/\u221an)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u043e\u043b\u043e\u0442\u043e:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong><span style=\"text-decoration: overline;\">x<\/span> :<\/strong> \u0432\u044b\u0431\u043e\u0440\u043e\u0447\u043d\u043e\u0435 \u0441\u0440\u0435\u0434\u043d\u0435\u0435<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>t:<\/strong> \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 t, \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u0435 \u0443\u0440\u043e\u0432\u043d\u044e \u0434\u043e\u0441\u0442\u043e\u0432\u0435\u0440\u043d\u043e\u0441\u0442\u0438<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>s:<\/strong> \u0432\u044b\u0431\u043e\u0440\u043e\u0447\u043d\u043e\u0435 \u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u043d\u043e\u0435 \u043e\u0442\u043a\u043b\u043e\u043d\u0435\u043d\u0438\u0435<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>n:<\/strong> \u0440\u0430\u0437\u043c\u0435\u0440 \u0432\u044b\u0431\u043e\u0440\u043a\u0438<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u044b \u0432 Python.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0414\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u044b \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f t<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0415\u0441\u043b\u0438 \u043c\u044b \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u043c \u0441 \u043d\u0435\u0431\u043e\u043b\u044c\u0448\u043e\u0439 \u0432\u044b\u0431\u043e\u0440\u043a\u043e\u0439 (n &lt;30), \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c <a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.t.html\" target=\"_blank\" rel=\"noopener\">\u0444\u0443\u043d\u043a\u0446\u0438\u044e t.interval()<\/a> \u0438\u0437 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 scipy.stats \u0434\u043b\u044f \u0440\u0430\u0441\u0447\u0435\u0442\u0430 \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u0430 \u0434\u043b\u044f \u0441\u0440\u0435\u0434\u043d\u0435\u0433\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0433\u0435\u043d\u0435\u0440\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u043e\u0432\u043e\u043a\u0443\u043f\u043d\u043e\u0441\u0442\u0438.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b \u0434\u043b\u044f \u0438\u0441\u0442\u0438\u043d\u043d\u043e\u0439 \u0441\u0440\u0435\u0434\u043d\u0435\u0439 \u0432\u044b\u0441\u043e\u0442\u044b \u043f\u043e\u043f\u0443\u043b\u044f\u0446\u0438\u0438 (\u0432 \u0434\u044e\u0439\u043c\u0430\u0445) \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0432\u0438\u0434\u0430 \u0440\u0430\u0441\u0442\u0435\u043d\u0438\u0439, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0432\u044b\u0431\u043e\u0440\u043a\u0443 \u0438\u0437 15 \u0440\u0430\u0441\u0442\u0435\u043d\u0438\u0439:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> scipy.stats <span style=\"color: #107d3f;\">as<\/span> st\n\n<span style=\"color: #008080;\">#define sample data<\/span>\ndata = [12, 12, 13, 13, 15, 16, 17, 22, 23, 25, 26, 27, 28, 28, 29]\n\n<span style=\"color: #008080;\">#create 95% confidence interval for population mean weight\n<\/span>st.t.interval(alpha=0.95, df=len(data)-1, loc=np.mean(data), scale=st.sem(data)) \n\n(16.758, 24.042)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">95% \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b \u0434\u043b\u044f \u0438\u0441\u0442\u0438\u043d\u043d\u043e\u0433\u043e \u0441\u0440\u0435\u0434\u043d\u0435\u0433\u043e \u0440\u0430\u0437\u043c\u0435\u0440\u0430 \u043f\u043e\u043f\u0443\u043b\u044f\u0446\u0438\u0438 \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 <strong>(16,758, 24,042)<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0412\u044b \u0437\u0430\u043c\u0435\u0442\u0438\u0442\u0435, \u0447\u0442\u043e \u0447\u0435\u043c \u0432\u044b\u0448\u0435 \u0443\u0440\u043e\u0432\u0435\u043d\u044c \u0434\u043e\u0441\u0442\u043e\u0432\u0435\u0440\u043d\u043e\u0441\u0442\u0438, \u0442\u0435\u043c \u0448\u0438\u0440\u0435 \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b. \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0432\u043e\u0442 \u043a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c 99% \u0414\u0418 \u0434\u043b\u044f \u0442\u0435\u0445 \u0436\u0435 \u0434\u0430\u043d\u043d\u044b\u0445:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create 99% confidence interval for same sample\n<\/span>st.t.interval(alpha= <span style=\"color: #008000;\">0.99<\/span> , df=len(data)-1, loc=np.mean(data), scale=st.sem(data)) \n\n(15.348, 25.455)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">99% \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b \u0434\u043b\u044f \u0438\u0441\u0442\u0438\u043d\u043d\u043e\u0433\u043e \u0441\u0440\u0435\u0434\u043d\u0435\u0433\u043e \u0440\u0430\u0437\u043c\u0435\u0440\u0430 \u043f\u043e\u043f\u0443\u043b\u044f\u0446\u0438\u0438 \u0440\u0430\u0432\u0435\u043d <strong>(15,348, 25,455)<\/strong> . \u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u044d\u0442\u043e\u0442 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b \u0448\u0438\u0440\u0435 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0435\u0433\u043e 95% \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u0430.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0414\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u044b \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u043d\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0415\u0441\u043b\u0438 \u043c\u044b \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u043c \u0441 \u0432\u044b\u0431\u043e\u0440\u043a\u0430\u043c\u0438 \u0431\u043e\u043b\u044c\u0448\u0435\u0433\u043e \u0440\u0430\u0437\u043c\u0435\u0440\u0430 (n\u226530), \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u043f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u0442\u044c, \u0447\u0442\u043e \u0432\u044b\u0431\u043e\u0440\u043e\u0447\u043d\u043e\u0435 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u0432\u044b\u0431\u043e\u0440\u043e\u0447\u043d\u043e\u0433\u043e \u0441\u0440\u0435\u0434\u043d\u0435\u0433\u043e \u043d\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u043e \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043e (\u0431\u043b\u0430\u0433\u043e\u0434\u0430\u0440\u044f <a href=\"https:\/\/statorials.org\/ru\/\u0446\u0435\u043d\u0442\u0440\u0430\u043b\u044c\u043d\u0430\u044f-\u043f\u0440\u0435\u0434\u0435\u043b\u044c\u043d\u0430\u044f-\u0442\u0435\u043e\u0440\u0435\u043c\u0430\/\" target=\"_blank\" rel=\"noopener\">\u0446\u0435\u043d\u0442\u0440\u0430\u043b\u044c\u043d\u043e\u0439 \u043f\u0440\u0435\u0434\u0435\u043b\u044c\u043d\u043e\u0439 \u0442\u0435\u043e\u0440\u0435\u043c\u0435<\/a> ) \u0438 \u0432\u043c\u0435\u0441\u0442\u043e \u044d\u0442\u043e\u0433\u043e \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c <a href=\"https:\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.norm.html\" target=\"_blank\" rel=\"noopener\">\u0444\u0443\u043d\u043a\u0446\u0438\u044e \u043d\u043e\u0440\u043c\u044b. \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b()<\/a> \u0438\u0437 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 scipy.stats.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b \u0434\u043b\u044f \u0438\u0441\u0442\u0438\u043d\u043d\u043e\u0439 \u0441\u0440\u0435\u0434\u043d\u0435\u0439 \u0432\u044b\u0441\u043e\u0442\u044b \u043f\u043e\u043f\u0443\u043b\u044f\u0446\u0438\u0438 (\u0432 \u0434\u044e\u0439\u043c\u0430\u0445) \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0432\u0438\u0434\u0430 \u0440\u0430\u0441\u0442\u0435\u043d\u0438\u0439, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0432\u044b\u0431\u043e\u0440\u043a\u0443 \u0438\u0437 50 \u0440\u0430\u0441\u0442\u0435\u043d\u0438\u0439:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> scipy.stats <span style=\"color: #107d3f;\">as<\/span> st\n\n<span style=\"color: #008080;\">#define sample data<\/span>\nnp.random.seed(0)\ndata = np.random.randint(10, 30, 50)\n\n<span style=\"color: #008080;\">#create 95% confidence interval for population mean weight\n<\/span>st.norm.interval(alpha=0.95, loc=np.mean(data), scale=st.sem(data))\n\n(17.40, 21.08)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">95% \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b \u0434\u043b\u044f \u0438\u0441\u0442\u0438\u043d\u043d\u043e\u0433\u043e \u0441\u0440\u0435\u0434\u043d\u0435\u0433\u043e \u0440\u0430\u0437\u043c\u0435\u0440\u0430 \u043f\u043e\u043f\u0443\u043b\u044f\u0446\u0438\u0438 \u0440\u0430\u0432\u0435\u043d <strong>(17,40, 21,08)<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041a\u0430\u043a \u0438 \u0432 \u0441\u043b\u0443\u0447\u0430\u0435 \u0441 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435\u043c t, \u0431\u043e\u043b\u0435\u0435 \u0432\u044b\u0441\u043e\u043a\u0438\u0435 \u0443\u0440\u043e\u0432\u043d\u0438 \u0434\u043e\u0441\u0442\u043e\u0432\u0435\u0440\u043d\u043e\u0441\u0442\u0438 \u043f\u0440\u0438\u0432\u043e\u0434\u044f\u0442 \u043a \u0431\u043e\u043b\u0435\u0435 \u0448\u0438\u0440\u043e\u043a\u0438\u043c \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u043c \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u0430\u043c. \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0432\u043e\u0442 \u043a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c 99% \u0414\u0418 \u0434\u043b\u044f \u0442\u0435\u0445 \u0436\u0435 \u0434\u0430\u043d\u043d\u044b\u0445:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create 99% confidence interval for same sample\n<\/span>st.norm.interval(alpha= <span style=\"color: #008000;\">0.99<\/span> , loc=np.mean(data), scale=st.sem(data))\n\n(16.82, 21.66)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">95% \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b \u0434\u043b\u044f \u0438\u0441\u0442\u0438\u043d\u043d\u043e\u0433\u043e \u0441\u0440\u0435\u0434\u043d\u0435\u0433\u043e \u0440\u0430\u0437\u043c\u0435\u0440\u0430 \u043f\u043e\u043f\u0443\u043b\u044f\u0446\u0438\u0438 \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 <strong>(17,82, 21,66)<\/strong> .<\/span><\/p>\n<h3> <strong><span style=\"color: #000000;\">\u041a\u0430\u043a \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u044b<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0447\u0442\u043e \u043d\u0430\u0448 95% \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b \u0434\u043b\u044f \u0438\u0441\u0442\u0438\u043d\u043d\u043e\u0439 \u0441\u0440\u0435\u0434\u043d\u0435\u0439 \u0432\u044b\u0441\u043e\u0442\u044b \u0432\u0438\u0434\u0430 \u0440\u0430\u0441\u0442\u0435\u043d\u0438\u0439 \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>95% \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b = (16,758, 24,042)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0421\u043f\u043e\u0441\u043e\u0431 \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0430\u0446\u0438\u0438 \u044d\u0442\u043e\u0433\u043e \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u0430 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439:<\/span><\/p>\n<blockquote data-slot-rendered-dynamic=\"true\">\n<p> <span style=\"color: #000000;\">\u0421\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442 95% \u0432\u0435\u0440\u043e\u044f\u0442\u043d\u043e\u0441\u0442\u044c \u0442\u043e\u0433\u043e, \u0447\u0442\u043e \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b [16,758, 24,042] \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0438\u0441\u0442\u0438\u043d\u043d\u0443\u044e \u0441\u0440\u0435\u0434\u043d\u044e\u044e \u0432\u044b\u0441\u043e\u0442\u0443 \u0440\u0430\u0441\u0442\u0435\u043d\u0438\u0439 \u043f\u043e\u043f\u0443\u043b\u044f\u0446\u0438\u0438.<\/span><\/p>\n<\/blockquote>\n<p> <span style=\"color: #000000;\">\u0414\u0440\u0443\u0433\u043e\u0439 \u0441\u043f\u043e\u0441\u043e\u0431 \u0441\u043a\u0430\u0437\u0430\u0442\u044c \u0442\u043e \u0436\u0435 \u0441\u0430\u043c\u043e\u0435 \u0441\u043e\u0441\u0442\u043e\u0438\u0442 \u0432 \u0442\u043e\u043c, \u0447\u0442\u043e \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u0442\u043e\u043b\u044c\u043a\u043e 5%-\u043d\u0430\u044f \u0432\u0435\u0440\u043e\u044f\u0442\u043d\u043e\u0441\u0442\u044c \u0442\u043e\u0433\u043e, \u0447\u0442\u043e \u0438\u0441\u0442\u0438\u043d\u043d\u043e\u0435 \u0441\u0440\u0435\u0434\u043d\u0435\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0433\u0435\u043d\u0435\u0440\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u043e\u0432\u043e\u043a\u0443\u043f\u043d\u043e\u0441\u0442\u0438 \u043b\u0435\u0436\u0438\u0442 \u0437\u0430 \u043f\u0440\u0435\u0434\u0435\u043b\u0430\u043c\u0438 95%-\u043d\u043e\u0433\u043e \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b\u0430. \u0422\u043e \u0435\u0441\u0442\u044c \u0432\u0435\u0440\u043e\u044f\u0442\u043d\u043e\u0441\u0442\u044c \u0442\u043e\u0433\u043e, \u0447\u0442\u043e \u0444\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0430\u044f \u0441\u0440\u0435\u0434\u043d\u044f\u044f \u0432\u044b\u0441\u043e\u0442\u0430 \u0440\u0430\u0441\u0442\u0435\u043d\u0438\u044f \u0431\u0443\u0434\u0435\u0442 \u043c\u0435\u043d\u044c\u0448\u0435 16,758 \u0434\u044e\u0439\u043c\u0430 \u0438\u043b\u0438 \u0431\u043e\u043b\u044c\u0448\u0435 24,042 \u0434\u044e\u0439\u043c\u0430, \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0432\u0441\u0435\u0433\u043e 5%.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0414\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b \u0434\u043b\u044f \u0441\u0440\u0435\u0434\u043d\u0435\u0433\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u2014 \u044d\u0442\u043e \u0434\u0438\u0430\u043f\u0430\u0437\u043e\u043d \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043c\u043e\u0436\u0435\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0442\u044c \u0441\u0440\u0435\u0434\u043d\u0435\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0433\u0435\u043d\u0435\u0440\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u043e\u0432\u043e\u043a\u0443\u043f\u043d\u043e\u0441\u0442\u0438 \u0441 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u043c \u0443\u0440\u043e\u0432\u043d\u0435\u043c \u0434\u043e\u0441\u0442\u043e\u0432\u0435\u0440\u043d\u043e\u0441\u0442\u0438. \u041e\u043d \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u044b\u0432\u0430\u0435\u0442\u0441\u044f \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c: \u0414\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0432\u0430\u043b = x +\/- t*(s\/\u221an) \u0417\u043e\u043b\u043e\u0442\u043e: x : \u0432\u044b\u0431\u043e\u0440\u043e\u0447\u043d\u043e\u0435 \u0441\u0440\u0435\u0434\u043d\u0435\u0435 t: \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 t, \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u0435 \u0443\u0440\u043e\u0432\u043d\u044e \u0434\u043e\u0441\u0442\u043e\u0432\u0435\u0440\u043d\u043e\u0441\u0442\u0438 s: \u0432\u044b\u0431\u043e\u0440\u043e\u0447\u043d\u043e\u0435 \u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u043d\u043e\u0435 \u043e\u0442\u043a\u043b\u043e\u043d\u0435\u043d\u0438\u0435 n: \u0440\u0430\u0437\u043c\u0435\u0440 \u0432\u044b\u0431\u043e\u0440\u043a\u0438 \u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 [&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":[],"class_list":["post-862","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ 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