{"id":1508,"date":"2023-03-30T15:24:25","date_gmt":"2023-03-30T12:24:25","guid":{"rendered":"https:\/\/www.es.ihu.gr\/?post_type=course&#038;p=1508"},"modified":"2023-09-01T13:33:27","modified_gmt":"2023-09-01T10:33:27","slug":"103","status":"publish","type":"course","link":"https:\/\/www.es.ihu.gr\/en\/courses\/103\/","title":{"rendered":"Statistics I"},"author":6,"template":"","meta":[],"semester":[10],"course_type":[12],"acf":{"code":"103","semester":10,"level":"1","teaching_activities":{"activity_1":{"description":"Tutorials  (Theory) & practice works","weekly_hrs":3,"ects":5},"activity_2":{"description":"","weekly_hrs":"","ects":""},"activity_3":{"description":"","weekly_hrs":"","ects":""},"activity_4":{"description":"","weekly_hrs":"","ects":""},"activity_5":{"description":"","weekly_hrs":"","ects":""}},"type":12,"language":"Greek","erasmus":"\u038c\u03c7\u03b9","url":"https:\/\/elearning.cm.ihu.gr\/course\/view.php?id=7","prerequisites":"","instructors":[1474],"coordinator":"","content":"<ol>\r\n \t<li>Presentation and description of data.<\/li>\r\n \t<li>Descriptive measures of position.<\/li>\r\n \t<li>Descriptive measures of distribution.<\/li>\r\n \t<li>Exploratory data analysis.<\/li>\r\n \t<li>Introductory concepts of probability theory.<\/li>\r\n \t<li>Probability theory.<\/li>\r\n \t<li>Random variables and probability distributions.<\/li>\r\n \t<li>Discrete distributions.<\/li>\r\n \t<li>Continuing Distributions.<\/li>\r\n \t<li>Central limit theorem.<\/li>\r\n \t<li>Sampling.<\/li>\r\n \t<li>Sampling distributions.<\/li>\r\n \t<li>Introduction to bivariate statistical analysis.<\/li>\r\n<\/ol>","goals":"The general aim of the course is the understanding and knowledge of the operations of the science of statistics. It aims in understanding of basic statistical concepts and methods of descriptive statistics, probability theory, probability distributions and sampling.\r\n\r\nUpon successful completion of the course, the students will be able to:\r\n<ul>\r\n \t<li>Understand how to describe and present data.<\/li>\r\n \t<li>Understand the basic principles of statistics.<\/li>\r\n \t<li>Use the statistical techniques necessary to draw conclusions when analyzing data.<\/li>\r\n \t<li>Form judgments in relevant business and scientific matters.<\/li>\r\n \t<li>Know the techniques that allow economic phenomena researchers to quantify and estimate with statistical methods the economic relationships that govern the operation of economic units and markets.<\/li>\r\n \t<li>Develop statistical thinking and the ability to analyze quantitative and qualitative data.<\/li>\r\n<\/ul>","skills":"<ul>\r\n \t<li>Working independently.<\/li>\r\n \t<li>Team work.<\/li>\r\n \t<li>Decision-making.<\/li>\r\n \t<li>Production of free, creative and inductive thinking.<\/li>\r\n<\/ul>","teaching_methods":"<ul>\r\n \t<li>In the classroom, face to face.<\/li>\r\n<\/ul>","ict_usage":"<ul>\r\n \t<li>Basic software (windows, word, power point, the web, etc.).<\/li>\r\n \t<li>Support of learning process through the electronic platform \/ e-class.<\/li>\r\n<\/ul>","teaching_organization":{"activity_1":{"description":"Lectures","workload":26},"activity_2":{"description":"Practice works","workload":13},"activity_3":{"description":"Assignment (Essay writing)","workload":20},"activity_4":{"description":"Independent Study","workload":66},"activity_5":{"description":"","workload":""},"activity_6":{"description":"","workload":""}},"students_evaluation":"Written final exams that may include:\r\n<ul>\r\n \t<li>Judgemental questions<\/li>\r\n \t<li>Short answer questions<\/li>\r\n \t<li>Comparative evaluation of theory elements<\/li>\r\n \t<li>True\/False and multiple choice Questions<\/li>\r\n \t<li>Application exercises<\/li>\r\n<\/ul>\r\nIn each question, corresponding evaluation points are specified.","bib_textbooks":"<ol>\r\n \t<li>\u03a4\u03b1\u03bc\u03c0\u03ac\u03ba\u03b7\u03c2 \u039d\u03b9\u03ba\u03cc\u03bb\u03b1\u03bf\u03c2, \u03a7\u03b1\u03c8\u03ac \u039e\u03b1\u03bd\u03b8\u03af\u03c0\u03c0\u03b7, \u0395\u03c6\u03b1\u03c1\u03bc\u03bf\u03c3\u03bc\u03ad\u03bd\u03b7 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae-\u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03bc\u03b5 EXCEL \u03ba\u03b1\u03b9 SPSS, \u0395\u03ba\u03b4. \u0396\u03c5\u03b3\u03cc\u03c2, \u039c\u03ac\u03c1\u03ba\u03bf\u03c5 \u0399. \u0393. \u03ba\u03b1\u03b9 \u03a3\u0399\u0391 \u0395\u0395, 2021.<\/li>\r\n \t<li>Andy Field, Jeremy Miles, Zoe Field, Discovering Statistics Using R, \u0395\u03ba\u03b4. \u03a0\u03c1\u03bf\u03c0\u03bf\u03bc\u03c0\u03cc\u03c2, \u0391\u03b8\u03ae\u03bd\u03b1, 2019.<\/li>\r\n \t<li>\u03a7\u03b1\u03bb\u03b9\u03ba\u03b9\u03ac\u03c2 \u0399., 2017 , \u03a3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae: \u039c\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9 \u0391\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u0391\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2, \u0395\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 Rosili, \u0391\u03b8\u03ae\u03bd\u03b1.<\/li>\r\n \t<li>\u03a3\u03b1\u03c1\u03b7\u03b3\u03b9\u03b1\u03bd\u03bd\u03af\u03b4\u03b7\u03c2 \u039d., \u039a\u03bf\u03bd\u03c4\u03ad\u03bf\u03c2 \u0393., \u0395\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae \u03c3\u03c4\u03b7 \u03a3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae, \u0395\u03ba\u03b4. \u0391\u03bb\u03ad\u03be\u03b1\u03bd\u03b4\u03c1\u03bf\u03c2, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, 2016.<\/li>\r\n \t<li>Berenson M.L., Levine D.M., Szabat K.A., 2018, \u0392\u03b1\u03c3\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c1\u03c7\u03ad\u03c2 \u03a3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b3\u03b9\u03b1 \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2, Broken Hill, \u039b\u03b5\u03c5\u03ba\u03c9\u03c3\u03af\u03b1, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2.<\/li>\r\n<\/ol>","bib_journals":"<ol>\r\n \t<li>Journal of Business &amp; Economic Statistics .<\/li>\r\n \t<li>Econometrics and Statistics.<\/li>\r\n \t<li>Journal of Statistics Education.<\/li>\r\n<\/ol>"},"_links":{"self":[{"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1508"}],"collection":[{"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course"}],"about":[{"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/types\/course"}],"author":[{"embeddable":true,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/users\/6"}],"version-history":[{"count":50,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1508\/revisions"}],"predecessor-version":[{"id":3430,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1508\/revisions\/3430"}],"acf:post":[{"embeddable":true,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/staff\/1474"}],"acf:term":[{"embeddable":true,"taxonomy":"course_type","href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course_type\/12"},{"embeddable":true,"taxonomy":"semester","href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/semester\/10"}],"wp:attachment":[{"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/media?parent=1508"}],"wp:term":[{"taxonomy":"semester","embeddable":true,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/semester?post=1508"},{"taxonomy":"course_type","embeddable":true,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course_type?post=1508"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}