{"id":6725,"date":"2023-06-02T13:01:40","date_gmt":"2023-06-02T10:01:40","guid":{"rendered":"https:\/\/www.uol.ac.cy\/?post_type=courses&#038;p=6725"},"modified":"2024-10-16T17:35:46","modified_gmt":"2024-10-16T14:35:46","slug":"bi430-quantitative-methods-statistical-analysis-2","status":"publish","type":"courses","link":"https:\/\/www.uol.ac.cy\/en\/courses\/bi430-quantitative-methods-statistical-analysis-2\/","title":{"rendered":"BI430 &#8211; Quantitative Methods &#038; Statistical Analysis"},"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-6725","courses","type-courses","status-publish","hentry"],"acf":[],"spectra_custom_meta":{"_last_editor_used_jetpack":["block-editor"],"_edit_lock":["1729111703:17"],"_edit_last":["17"],"c_course_main_title":["Master of Science in Computer Science and Business Technologies"],"_c_course_main_title":["field_6447c49f617d3"],"c_course_unit_title":["Quantitative Methods & Statistical Analysis"],"_c_course_unit_title":["field_6447c246335b9"],"course_unit_code":["BI430"],"_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"],"_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 statistical theory, provide the appropriate theoretical and practical skills necessary for collecting, analyzing and interpreting data for addressing a business problem in the real world. Both emphasis on descriptive and inferential statistics will be given."],"_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>Demonstrate understanding of the value of extracting information from data and use it in the decision making process.<\/li>\r\n \t<li>Demonstrate understanding of the basic concepts used in quantitative and qualitative research.<\/li>\r\n \t<li>Create effective data visualizations.<\/li>\r\n \t<li>Use the appropriate techniques and tools to determine relationships among variables.<\/li>\r\n \t<li>Employ the most appropriate statistical methods in collecting and analyzing data for a particular research purpose.<\/li>\r\n \t<li>Demonstrate understanding of concepts like probabilities and distributions.<\/li>\r\n \t<li>Apply appropriate statistical thinking by developing and testing a hypothesis or forecasting applications related to an identified business problem.<\/li>\r\n \t<li>Demonstrate understanding of how to use statistical packages for statistical purposes.<\/li>\r\n \t<li>Build sufficient skills to provide leadership in statistical methods in the areas of their responsibility and increase their capability as managers to think statistically using data.<\/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":["None"],"_c_prerequisites":["field_6447c76c84618"],"c_course_content":["<ol>\r\n \t<li>Introduction to statistics, data types, data-driven decision making, data management, data lifecycle<\/li>\r\n \t<li>Introduction to Microsoft Excel for statistical analysis<\/li>\r\n \t<li>Descriptive Statistics: measures of location and dispersion<\/li>\r\n \t<li>Data Visualization Techniques: tabular and graphical methods (frequency tables, bar chart, pie chart, histogram)<\/li>\r\n \t<li>Probability theory<\/li>\r\n \t<li>Distributions: Discrete (Binomial, Poisson) and Continuous (Uniform, Normal, t-distribution, chi-square)<\/li>\r\n \t<li>Sampling, sampling distributions and the Central Limit Theorem(CLT))<\/li>\r\n \t<li>Inferential Statistics (Normal and t-distribution)<\/li>\r\n \t<li>Point (statistic) and Interval Estimation (population mean, confidence interval, margin of error)<\/li>\r\n \t<li>Hypothesis Testing (Single mean &amp; proportion, two means - paired data - two proportions, types of error, standard deviation test)<\/li>\r\n \t<li>Simple and Multiple Linear regression and Correlation<\/li>\r\n \t<li>Autoregressive Integrated Moving Average (ARIMA) models<\/li>\r\n<\/ol>"],"_c_course_content":["field_63f608209bd78"],"c_truefalse":["1"],"_c_truefalse":["field_6447c80f84619"],"c_readings_0_c_readings_1st_row":["<strong>Required Textbook:<\/strong>\r\n\r\nIllowsky, B. &amp; Dean, S. (2012). Collaborative Statistics. Houston, Texas: Connexions, Rice University. Available for download under Creative Commons license at: http:\/\/cnx.org\/content\/col10522\/latest\/\r\n\r\n<strong>Online Learning:<\/strong>\r\n\r\n<strong>Descriptive Statistics:<\/strong>\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/descriptive- statistics\/central_tendency\/v\/statistics-intro-mean-median-and-mode\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/descriptive- statistics\/central_tendency\/v\/mean-median-and-mode\r\n\r\n<strong>Visualization Techniques:<\/strong>\r\nhttps:\/\/www.khanacademy.org\/math\/cc-sixth-grade-math\/cc-6th-data- statistics\/histograms\/v\/histograms-intro\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/descriptive-statistics\/box-and- whisker-plots\/v\/reading-box-and-whisker-plots\r\n\r\n<strong>Statistics with Excel, Calculating Mean, Median, Mode and Standard Deviation:<\/strong>\r\n\r\n[embed]https:\/\/www.youtube.com\/watch?v=2rEhWFhSqnI[\/embed]\r\n\r\n<strong>Frequency Function and Histograms:<\/strong>\r\n\r\n[embed]https:\/\/www.youtube.com\/watch?v=asEuFvWGJDs[\/embed]\r\n\r\n<strong>Z-scores in Normal Distribution:<\/strong>\r\n\r\n[embed]https:\/\/www.youtube.com\/watch?v=nSZR8yRsrFo[\/embed]\r\n\r\n<strong>Linear Regression:<\/strong>\r\n\r\n[embed]https:\/\/www.youtube.com\/watch?v=Cltt47Ah3Q4[\/embed]\r\n\r\n<strong>Probability:<\/strong>\r\nhttps:\/\/www.khanacademy.org\/math\/precalculus\/prob_comb\/basic_prob_precalc\/v\r\n\/basic-probability\r\n\r\n<strong>Binomial Distribution:<\/strong>\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/random-variables- topic\/binomial_distribution\/v\/binomial-distribution\r\n\r\n<strong>Poisson Distribution:<\/strong>\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/random-variables- topic\/poisson_process\/v\/poisson-process-1\r\n\r\n<strong>Normal Distribution:<\/strong>\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/statistics- inferential\/normal_distribution\/v\/introduction-to-the-normal-distribution\r\n\r\n<strong>Central Limit Theorem:<\/strong>\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/statistics- inferential\/sampling_distribution\/v\/central-limit-theorem\r\n\r\n<strong>Standard Error of the Mean:<\/strong>\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/statistics- inferential\/sampling_distribution\/v\/standard-error-of-the-mean\r\n\r\n<strong>Sampling Distribution of the Sample Mean:<\/strong>\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/statistics- inferential\/sampling_distribution\/v\/sampling-distribution-of-the-sample-mean\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/statistics- inferential\/sampling_distribution\/v\/sampling-distribution-of-the-sample-mean-2\r\n\r\n<strong>Hypothesis Testing:<\/strong>\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/statistics-inferential\/hypothesis- testing\/v\/hypothesis-testing-and-p-values\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/statistics-inferential\/hypothesis- testing\/v\/one-tailed-and-two-tailed-tests\r\n\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/statistics-inferential\/hypothesis- testing\/v\/type-1-errors\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/statistics-inferential\/hypothesis- testing\/v\/z-statistics-vs-t-statistics\r\n\r\n<strong>Linear Regression and Correlation:<\/strong>\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/regression\/regression- correlation\/v\/regression-line-example\r\nhttps:\/\/www.khanacademy.org\/math\/probability\/regression\/regression- correlation\/v\/correlation-and-causality"],"_c_readings_0_c_readings_1st_row":["field_6447d03051789"],"c_readings_0_c_readings_2st_row":["<strong>Recommended Reading:<\/strong>\r\n\r\nAnderson, R.D., Sweeney, J.D. &amp; Williams, A.T. (2012).Statistics for Business and Economics (11th ed.) Revised. South-Western: Cengage Learning.\r\n\r\nAnderson, R.D., Sweeney, J.D. &amp; Williams, A.T., Camm, J.D., &amp; Cochran, J. (2014). Essentials of Statistics for Business and Economics (7th ed.) Revised. South-Western: Cengage Learning.\r\n\r\nKeller, G. (2012). Statistics for Management and Economics. South-Western: Cengage Learning.\r\n\r\nQuirk, T.J. (2013). Excel 2013 for Business Statistics: A Guide to Solving Practical Problems. 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