{"id":13867,"date":"2014-12-15T14:17:00","date_gmt":"2014-12-15T13:17:00","guid":{"rendered":"https:\/\/rafen.app\/uncategorized\/probability-and-statistics\/"},"modified":"2023-02-06T23:33:03","modified_gmt":"2023-02-06T22:33:03","slug":"probability-and-statistics","status":"publish","type":"post","link":"https:\/\/raf.edu.rs\/en\/subjects\/probability-and-statistics\/","title":{"rendered":"Probability and Statistics"},"content":{"rendered":"<h5>Objectives and outcomes<\/h5>\n<p>Acquisition of general and specific knowledge in the field of Probability and Statistics. Upon completion<br \/>\nof the course, students will adopt the basic concepts, as well as the most important theorems in the field. Moreover, they will be able to apply the acquired knowledge to other courses.<\/p>\n<h5>Lectures<\/h5>\n<p>Basic concepts of probability theory and application of combinatorics. Conditional probability. Law of total<br \/>\nprobability and the Bayes&#8217; theorem. Random variables and random vectors. Independence of random<br \/>\nvariables. Functions of random variables and random vectors. Numerical characteristics &#8211; mathematical<br \/>\nexpectation, variance, normal distribution, moments, quantiles. Characteristic functions. Limit theorems<br \/>\n(law of large numbers and the central limit theorem). Distributions: Chi-square, Student&#8217;s distribution, F-<br \/>\ndistribution Estimation of parameters. Hypothesis testing. Nonparametric tests. Monte Carlo methods.<\/p>\n<h5>Practical classes<\/h5>\n<p>Discrete probability spaces. Conditional and total probability. Important discrete distributions. Absolutely<br \/>\ncontinuous distributions (normal, uniform, exponential). Probability distribution function. Multidimensional<br \/>\ndistribution function. Random variables. Mathematical expectation. Variance. Independence of random<br \/>\nvariables. Covariance and correlation. Modelling of random quantities. Graphical display of data.<br \/>\nPopulation, trait, sample. Order statistics. Chi-square and other distributions important for statistical<br \/>\nmodelling. Method of maximum likelihood. Confidence intervals. Statistical hypothesis testing.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Objectives and outcomes Acquisition of general and specific knowledge in the field of Probability and Statistics. Upon completion of the course, students will adopt the basic concepts, as well as the most important theorems in &#8230; <a title=\"Probability and Statistics\" class=\"read-more\" href=\"https:\/\/raf.edu.rs\/en\/subjects\/probability-and-statistics\/\" aria-label=\"More on Probability and Statistics\">Read more<\/a><\/p>\n <a href=\"https:\/\/raf.edu.rs\/en\/subjects\/probability-and-statistics\/\" class=\"more-link\" title=\"Read more\">Read more<\/a>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[199],"tags":[],"class_list":["post-13867","post","type-post","status-publish","format-standard","hentry","category-subjects"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Probability and Statistics - School of Computing<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/raf.edu.rs\/en\/subjects\/probability-and-statistics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Probability and Statistics - School of Computing\" \/>\n<meta property=\"og:description\" content=\"Objectives and outcomes Acquisition of general and specific knowledge in the field of Probability and Statistics. Upon completion of the course, students will adopt the basic concepts, as well as the most important theorems in ... 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