{"id":6408,"date":"2023-05-31T10:12:59","date_gmt":"2023-05-31T07:12:59","guid":{"rendered":"https:\/\/www.uol.ac.cy\/?post_type=courses&#038;p=6408"},"modified":"2024-10-17T14:33:53","modified_gmt":"2024-10-17T11:33:53","slug":"mb730-posotikes-poiotikes-methodoi-3","status":"publish","type":"courses","link":"https:\/\/www.uol.ac.cy\/el\/courses\/mb730-quantitative-qualitative-methods\/","title":{"rendered":"MB730 - \u03a0\u03bf\u03c3\u03bf\u03c4\u03b9\u03ba\u03ad\u03c2 &amp; \u03a0\u03bf\u03b9\u03bf\u03c4\u03b9\u03ba\u03ad\u03c2 \u039c\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9"},"content":{"rendered":"","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}}},"class_list":["post-6408","courses","type-courses","status-publish","hentry"],"acf":[],"spectra_custom_meta":{"_last_editor_used_jetpack":["classic-editor"],"_edit_lock":["1729165029:17"],"_edit_last":["17"],"c_course_main_title":["Master in Business Administration"],"_c_course_main_title":["field_6447c49f617d3"],"c_course_unit_title":["Quantitative & Qualitative Methods"],"_c_course_unit_title":["field_6447c246335b9"],"course_unit_code":["MB730"],"_course_unit_code":["field_63f6047058b75"],"type_of_unit":["Core"],"_type_of_unit":["field_63f6047758b76"],"level_of_course_unit":["Second cycle"],"_level_of_course_unit":["field_63f6047c58b77"],"year_of_study":["First\/second year"],"_year_of_study":["field_63f6048558b78"],"semester":["On demand"],"_semester":["field_63f6049158b79"],"number_of_ects_credits":["6"],"_number_of_ects_credits":["field_63f6049b58b7a"],"class_contact_hours":["28"],"_class_contact_hours":["field_63f604a358b7b"],"course_unit_objectives":["The objective of this course is to introduce the fundamental concepts and tools of statistics and to provide the appropriate theoretical and practical skills necessary for collecting, analyzing and interpreting data to cond uct research and data analysis."],"_course_unit_objectives":["field_63f606bd0ec15"],"c_learning_outcomes":["The students completing the course should be able to:"],"_c_learning_outcomes":["field_63f607e69bd76"],"c_learning_outcomes_description":["<ul>\r\n \t<li>Identify the different types of business problems that can be addressed through quantitative research.<\/li>\r\n \t<li>Apply tabular, graphical, and descriptive methods in order to study and understand a variable.<\/li>\r\n \t<li>Identify the basic concepts of probability theory and probability and sampling distribution.<\/li>\r\n \t<li>Analyze and draw conclusions using a confidence interval and a hypothesis test.<\/li>\r\n \t<li>Apply statistical methods in order to study and understand the relationship between two or more variables.<\/li>\r\n \t<li>Analyze data using Microsoft Excel.<\/li>\r\n<\/ul>"],"_c_learning_outcomes_description":["field_63f607f99bd77"],"c_mode_of_delivery":["Mode of Delivery"],"_c_mode_of_delivery":["field_6447c76184617"],"c_prerequisites":["Basic algebra and Microsoft Excel knowledge"],"_c_prerequisites":["field_6447c76c84618"],"c_course_content":["<ol>\r\n \t<li><strong>Introduction to Quantitative Research:<\/strong> The 1 st part of the course deals with preliminary notions of statistics, including data types, scales of measurement, types of statistics, and sampling<\/li>\r\n \t<li><strong>Introduction to Statistics:<\/strong> The 2 nd part of the course deals with preliminary notions of statistics, including data types, scales of measurement, types of statistics, and sampling<\/li>\r\n \t<li><strong>Descriptive Statistics:<\/strong> The 3 rd part of the course deals with the ways of organizing, presenting and describing data. Additionally, it studies the measures of location and variability, and the relationship between 2 variables using the correlation coefficient. Finally, Microsoft Excel is introduced, along with tools for the stud y of descriptive statistics<\/li>\r\n \t<li><strong>Introduction to Probability and Sampling Distributions:<\/strong> The 4 th part of the course deals with the preliminary notion of probability theory (e.g., sets, experiments, sample space, events). Furthermore, it demonstrates the ways to assign probability to events. Finally, it introduces the notions of random variables, probability distribution and deals with discrete distribution (bernoulli, binomial, and poisson) and continuous distribution (normal and standard normal)<\/li>\r\n \t<li><strong>Interval Estimation:<\/strong> The 5th part of the course demonstrates the way of creating a confidence interval for the population mean, the population proportion, the population mean and proportion with two populations and the population variance and standard deviation<\/li>\r\n \t<li><strong>Hypothesis Testing:<\/strong> The 6th part of the course demonstrates the way of performing a hypothesis test for the population mean, the population proportion, the population mean and proportion with two populations and the population variance and standard deviation<\/li>\r\n \t<li><strong>Linear Regression:<\/strong> The final part of the course presents the way to estimate the population relationship between two variables through the use of the least squares method. Finally, it examines the way to estimate the relationship between two or more independent variables and a dependent variable through the use of the multiple linear regression<\/li>\r\n<\/ol>"],"_c_course_content":["field_63f608209bd78"],"c_truefalse":["0"],"_c_truefalse":["field_6447c80f84619"],"c_readings_0_c_readings_1st_row":["<strong>Textbooks:<\/strong>\r\n\r\n1. Anderson, D.R, Sweeney D.J., Williams T.A., Camm J.D., and Cochran J.J. (2018). Essentials of Modern Business Statistics with Microsoft Office Excel. Cengage Learning. Illowsky, B. and Dean, S. (2012). Collaborative Statistics. http:\/\/cnx.org\/content\/col10522\/latest\/\r\n\r\n2. Groebner, D.F., Shannon, P.W., and Fry, P.C. (2017). Business Statistics: A Decision Making Approach. Pearson Education\r\n\r\n3. Anderson, D.R, Sweeney D.J., and Williams T.A., (2008). Statistics for Business and Economics. Pearson Education\r\n\r\n<strong>Online Reading:<\/strong> Useful online material can be found on the Khan Academy webpage (https:\/\/www.khanacademy.org):\r\n\r\n<strong>Descriptive Statistics:<\/strong>\r\n\r\nhttps:\/\/www.khanacademy.org\/math\/statistics-probability\/analyzing-categorical-data\r\n\r\nhttps:\/\/www.khanacademy.org\/math\/statistics-probability\/displaying-describing-data\r\n\r\nhttps:\/\/www.khanacademy.org\/math\/statistics-probability\/summarizing-quantitative-data\r\n\r\nwww.khanacademy.org\/math\/statistics-probability\/describing-relationships-quantitative-data\r\n\r\n&nbsp;"],"_c_readings_0_c_readings_1st_row":["field_6447d03051789"],"c_readings_0_c_readings_2st_row":["<strong>Introduction to Probability:<\/strong>\r\n\r\nhttps:\/\/www.khanacademy.org\/math\/statistics-probability\/probability-library\r\n\r\nwww.khanacademy.org\/math\/statistics-probability\/counting-permutations-and-combinations\r\n\r\n<strong>Probability and Sampling Distributions<\/strong>:\r\n\r\nhttps:\/\/www.khanacademy.org\/math\/statistics-probability\/random-variables-stats-library\r\n\r\nhttps:\/\/www.khanacademy.org\/math\/statistics-probability\/sampling-distributions-library\r\n\r\nInterval Estimation:\r\n\r\nhttps:\/\/www.khanacademy.org\/math\/statistics-probability\/confidence-intervals-one-sample\r\n\r\n<strong>Hypothesis Testing:<\/strong>\r\n\r\nhttps:\/\/www.khanacademy.org\/math\/statistics-probability\/significance-tests-one-sample\r\n\r\nhttps:\/\/www.khanacademy.org\/math\/statistics-probability\/significance-tests-confidence-intervals-two-samples\r\n\r\n<strong>Linear Regression:<\/strong>\r\n\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/regression\/regression-correlation\/v\/regression-line-example\r\n\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/regression\/regression-correlation\/v\/correlation-and-causality\r\n\r\nwww.khanacademy.org\/math\/statistics-probability\/advanced-regression-inference-transforming"],"_c_readings_0_c_readings_2st_row":["field_6447d0425178a"],"c_readings":["1"],"_c_readings":["field_6447d00351788"],"_seopress_redirections_type":["301"],"_seopress_redirections_logged_status":["both"],"site-sidebar-layout":["default"],"site-content-layout":["default"],"theme-transparent-header-meta":["default"],"_seopress_analysis_target_kw":[""],"_eael_post_view_count":["2210"],"_trp_automatically_translated_slug_zh_CN":["mb730-\u5b9a\u91cf\u5b9a\u6027\u65b9\u6cd5"],"_trp_automatically_translated_slug_ru_RU":["mb730-\u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0435-\u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0435-\u043c\u0435\u0442\u043e\u0434\u044b"],"classic-editor-remember":["classic-editor"],"_wp_page_template":["default"],"English_Course":["a:1:{i:0;s:7:\"English\";}"],"_English_Course":["field_664a7ab2b54a8"],"greek_course":[""],"_greek_course":["field_664afc80bfc9b"],"yesno":["1"],"_yesno":["field_6648f406b6def"],"core_en_and_gr":["Core Course"],"_core_en_and_gr":["field_664c54e2559a3"],"Teacher\u2019s_name":["#"],"_Teacher\u2019s_name":["field_6647979a4a918"],"Course_Unit_Objectives_new":["#"],"_Course_Unit_Objectives_new":["field_664c5c2365623"],"Learning_Outcomes_select":["Learning Outcomes"],"_Learning_Outcomes_select":["field_63f607e69bd76"],"Select_mode_of_delivery_language":["Face to Face"],"_Select_mode_of_delivery_language":["field_66546dc27e3f7"],"select_from_Prerequisites_language":["Prerequisites"],"_select_from_Prerequisites_language":["field_6447c76c84618"],"Prerequisites":["None"],"_Prerequisites":["field_664a8078df416"],"Course_Content":["Course Content"],"_Course_Content":["field_664892bc7a322"],"add_course_content":[""],"_add_course_content":["field_664a842c9b2b8"],"Features":["Course Features"],"_Features":["field_664a88b548af2"],"add_course_feautres":["<strong>Planned learning activities and teaching methods<\/strong>\r\nPresentation of concepts and theories with exercises; in - class discussions and debates; case studies; presentations; individual and team - work; demonstration of statistical use on a computer\r\n\r\n<strong>Assessment methods and criteria<\/strong>\r\n20% Class Participation (including in - class exercises)\r\n30% Individual Assignment\r\n40% Group Project\r\n10% Presentation of the Group Project\r\n\r\n<strong>Instruction Language<\/strong>\r\nEnglish\r\n\r\n<strong>Work placement(s)<\/strong>\r\nNot applicable"],"_add_course_feautres":["field_664a89441aacf"],"read_choice_lang":["Readings"],"_read_choice_lang":["field_664a8c0bc9898"],"feature_image_program":[""],"_feature_image_program":["field_668bbb4805cdb"],"return_to_the_program":["<a href=\"https:\/\/www.uol.ac.cy\/en\/program\/mba-program\/\">Return to the program<\/a>"],"_return_to_the_program":["field_668ff14d984ef"],"ast-site-content-layout":["default"],"site-content-style":["default"],"site-sidebar-style":["default"],"astra-migrate-meta-layouts":["set"],"stick-header-meta":["default"],"_uag_css_file_name":["uag-css-6408.css"],"_oembed_585154300def66cc63126547546a7eef":["{{unknown}}"],"_oembed_cddf83659f19e32d2717ab6872d2ea04":["{{unknown}}"],"_oembed_1c650176dd336705fea5de72361bd850":["{{unknown}}"],"_oembed_dd56ebf15757cdba9ca906f7d33d8f32":["{{unknown}}"],"_oembed_2f8f61bf45a6e19258fc1786a5f94ee7":["{{unknown}}"],"_oembed_d3b2938a963d75fda8017bc939092127":["{{unknown}}"],"_oembed_f4d00a766d5c8e267f76178db46188a9":["{{unknown}}"],"_oembed_8555d3e10714c8d59bfe2d8e924cfe04":["{{unknown}}"],"_oembed_c9880e0922f24aa472f78a9133457476":["{{unknown}}"],"_oembed_7e023be2e3698303dcade6724fb57933":["{{unknown}}"],"_oembed_5784b6af5d3b710578061db6bc0ffbce":["{{unknown}}"],"_uag_page_assets":["a:9:{s:3:\"css\";s:263:\".uag-blocks-common-selector{z-index:var(--z-index-desktop) !important}@media (max-width: 976px){.uag-blocks-common-selector{z-index:var(--z-index-tablet) !important}}@media (max-width: 767px){.uag-blocks-common-selector{z-index:var(--z-index-mobile) !important}}\n\";s:2:\"js\";s:0:\"\";s:18:\"current_block_list\";a:1:{i:0;s:11:\"core\/search\";}s:8:\"uag_flag\";b:0;s:11:\"uag_version\";s:10:\"1775815875\";s:6:\"gfonts\";a:0:{}s:10:\"gfonts_url\";s:0:\"\";s:12:\"gfonts_files\";a:0:{}s:14:\"uag_faq_layout\";b:0;}"]},"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false},"uagb_author_info":{"display_name":"p.efstathiou@uol.ac.cy","author_link":"https:\/\/www.uol.ac.cy\/el\/author\/"},"uagb_comment_info":0,"uagb_excerpt":null,"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/courses\/6408","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/courses"}],"about":[{"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/types\/courses"}],"version-history":[{"count":0,"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/courses\/6408\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.uol.ac.cy\/el\/wp-json\/wp\/v2\/media?parent=6408"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}