{"id":1533,"date":"2023-03-30T15:49:17","date_gmt":"2023-03-30T12:49:17","guid":{"rendered":"https:\/\/www.es.ihu.gr\/?post_type=course&#038;p=1533"},"modified":"2023-08-29T10:50:42","modified_gmt":"2023-08-29T07:50:42","slug":"205","status":"publish","type":"course","link":"https:\/\/www.es.ihu.gr\/en\/courses\/205\/","title":{"rendered":"Statistics II"},"author":6,"template":"","meta":[],"semester":[11],"course_type":[14],"acf":{"code":"205","semester":11,"level":"1","teaching_activities":{"activity_1":{"description":"Lectures (theory)","weekly_hrs":2,"ects":5},"activity_2":{"description":"Laboratory exercises","weekly_hrs":2,"ects":0},"activity_3":{"description":"","weekly_hrs":"","ects":""},"activity_4":{"description":"","weekly_hrs":"","ects":""},"activity_5":{"description":"","weekly_hrs":"","ects":""}},"type":14,"language":"Greek","erasmus":"\u038c\u03c7\u03b9","url":"https:\/\/elearning.cm.ihu.gr\/course\/view.php?id=115","prerequisites":"","instructors":[1451],"coordinator":"","content":"<ol>\r\n \t<li>Estimations. Confidence intervals.<\/li>\r\n \t<li>Statistical hypothesis testing.<\/li>\r\n \t<li>Goodness of fit tests.<\/li>\r\n \t<li>Independence Tests and x<sup>2<\/sup> distribution.<\/li>\r\n \t<li>Measuring the relationship between qualitative variables.<\/li>\r\n \t<li>Pearson's and Spearman's correlation coefficient.<\/li>\r\n \t<li>Hypothesis tests for association in a statistical population.<\/li>\r\n \t<li>Analysis of categorized data.<\/li>\r\n \t<li>Basic principles of simple regression.<\/li>\r\n \t<li>Regression model characteristics.<\/li>\r\n \t<li>Logarithmic regression.<\/li>\r\n \t<li>Multiple regression.<\/li>\r\n \t<li>Solving complex problems with real data.<\/li>\r\n<\/ol>","goals":"The general aim of the course is the understanding and knowledge of the operation of statistical inference with an emphasis on the development of statistical thinking and the ability to analyze quantitative and qualitative data. The application of techniques in the analysis and interpretation of the results of the economy and businesses in the context of both the Greek and the international economic environment, the trends and the demands of the interested parties in terms of the degree of comparability, is also a pursuit, as statistical methods find applications in almost all branches of human activity.\r\n\r\nUpon successful completion of the course, students are expected to be able to:\r\n<ul>\r\n \t<li>Use their knowledge and understand issues of generalization of conclusions.<\/li>\r\n \t<li>Perform case checks.<\/li>\r\n \t<li>Have the ability to apply regression methods.<\/li>\r\n \t<li>Use statistical calculus for the analyses.<\/li>\r\n \t<li>Evaluate and compose reports and analyzes that refer to financial management issues.<\/li>\r\n \t<li>Acquire the necessary skills to support the extroverted orientation of agencies and businesses and draw conclusions referring to the data set by using a (small) subset of it.<\/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":"Laboratory practice","workload":26},"activity_3":{"description":"Assignment (Essay writing)","workload":20},"activity_4":{"description":"Independent Study","workload":53},"activity_5":{"description":"","workload":""},"activity_6":{"description":"","workload":""}},"students_evaluation":"<strong>Theory\r\n<\/strong>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.\r\nOptional assignment (Essay writing) corresponds to 40% of the final grade.\r\n\r\n<strong>Laboratory\r\n<\/strong>The Laboratory part is evaluated on a weekly basis. Prepared assignments covering a specific part of the material each time are distributed and their correct execution is checked for all students. At the end of the semester, all students are tested in a laboratory examination.","bib_textbooks":"<ol>\r\n \t<li>Andy Field, \u0397 \u0394\u03b9\u03b5\u03c1\u03b5\u03cd\u03bd\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03a3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae\u03c2 \u03bc\u03b5 \u03c4\u03b7 \u03a7\u03c1\u03ae\u03c3\u03b7 \u03c4\u03bf\u03c5 SPSS \u03c4\u03b7\u03c2 IBM, \u0395\u03ba\u03b4. \u03a0\u03c1\u03bf\u03c0\u03bf\u03bc\u03c0\u03cc\u03c2, \u0391\u03b8\u03ae\u03bd\u03b1, 2016.<\/li>\r\n \t<li>\u03a7\u03ac\u03bb\u03ba\u03bf\u03c2 \u0393., \u03a3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae, 4\u03b7 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7, \u0395\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u0394\u03af\u03c3\u03b9\u03b3\u03bc\u03b1 \u0399\u039a\u0395, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, 2020.<\/li>\r\n \t<li>\u0396\u03b1\u03c6\u03b5\u03b9\u03c1\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf\u03c2 \u039a., \u039c\u03c5\u03bb\u03c9\u03bd\u03ac\u03c2 \u039d., \u03a3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03bc\u03b5 SPSS, 2020, \u0395\u03ba\u03b4. \u03a4\u03b6\u03b9\u03cc\u03bb\u03b1.<\/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\/1533"}],"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":25,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1533\/revisions"}],"predecessor-version":[{"id":2972,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1533\/revisions\/2972"}],"acf:post":[{"embeddable":true,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/staff\/1451"}],"acf:term":[{"embeddable":true,"taxonomy":"course_type","href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course_type\/14"},{"embeddable":true,"taxonomy":"semester","href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/semester\/11"}],"wp:attachment":[{"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/media?parent=1533"}],"wp:term":[{"taxonomy":"semester","embeddable":true,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/semester?post=1533"},{"taxonomy":"course_type","embeddable":true,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course_type?post=1533"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}