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Course Description Course Name : Statistical Data Analysis Course Code : MG28 709 Course Type : Compulsory Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Asst.Prof.Dr. MERTDEMİRCİOĞLU Learning Outcomes of the Course : Uses statistical package program to analyse data Learns how to organize data and how to enter this data into the statistical program. Carries out analyses by using descriptive statistics and frequency tables. Learns how to carry out one way variance analysis, regression and correlation analysis. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : This course aims to help students analyze statistical data used in daily business life and help them to learn how to use the statistical analysis methods to interpret the results by using useful computer applications. Course Contents : This course is an applied statistics course focusing on data analysis. The course will begin with an overview of how to organize, perform, and write-up data analyses. Also, performing statistical analysis by using a statistical program is another content matter. Language of Instruction : Turkish Work Place : Bloc 2   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Basic Statistical Information: mean, median.. Reading the given materials. Presentation and Discussion 2 Basic Statistical Information Reading the given materials. Presentation and Discussion 3 Drawing graphic and organizing table. Types of graphics and tables Reading the given materials. Presentation and Discussion 4 Sample and data types. Reading the given materials. Presentation and Discussion 5 Data types Reading the given materials. Presentation and Discussion 6 Probability distributions ( Normal,Binom,Poisson) Reading the given materials. Presentation and Discussion 7 Probability distributions Reading the given materials. Presentation and Discussion 8 Midterm Exam Exam preparation Online exam 9 Hypothesis tests Reading the given materials. Presentation and Discussion 10 Hypothesis tests Reading the given materials. Presentation and Discussion 11 Casual Forecasting Methods Reading the given materials. Presentation and Discussion 12 Regression analysis Reading the given materials. Presentation and Discussion 13 Multiple Regression Analysis, Correlation Analysis. Reading the given materials. Presentation and Discussion 14 Decision Theory Reading the given materials. Presentation and Discussion 15 Simulation Reading the given materials. Presentation and Discussion 16/17 Final Exam Exam Preparation Essay Exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Bowerman B.L. & O’Connel R.T. Forecasting and Time Series: Applied Approach, Duxbury   İşletme Yöneticileri için Excel ile Sayısal Karar Verme Teknikleri, Erkut DÜZAKIN,ADANA.   Olasılık ve İstatistik, Fikri AKDENİZ,ADANA. Required Course Material(s)  Management Science, Render and Stair, USA Operations Research, Winston, USA Statistics For Business and Economics, Paul Newbold, Prentice-Hall Business Statistics in Practice, Bowerman B.L., O’Connel R.T. & Hand M.L., McGraw Hill   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 60     Homeworks/Projects/Others 0 40 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Lists and describes the terms of production management and numerical methods and explains the relationship between them 5 2 Lists,describes the basic theoretical models and numerical and statistical methods of business administration, and explains the aim of the models; indicates the strenghts and weaknesses of each model and/or method 5 3 By doing research student explains how to create the basic theoretical models of business administration and to practise numerical and statistical methods. 5 4 Determines proper methods for solving the encountered business problems 4 5 Applies the business administration methods by following the basic steps 3 6 Achieves the best result by using the basic numerical and statistical analysis programs 5 7 Takes responsibility as an individual and/or as a part of a team, becomes leader and works effectively 3 8 Follows the latest developments in his/her field and continuously renews him/herself in recognition of the need for lifelong learning. 3 9 Following research ethics, in a new field, student uses various resources, processes the information obtained and presents it effectively. 4 10 Questions conventional approaches, implications, and methods, and s/he develops and applies new methods of studying when needed. 3 11 Forms a basis for the decision-making process by doing research on the science of business administration. 5 12 By considering the size, resources, culture, goals and aims of the business, student determines the most appropriate business management approaches, practices and methods. 5 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 14 3 42 Assesment Related Works     Homeworks, Projects, Others 0 0 0     Mid-term Exams (Written, Oral, etc.) 1 30 30     Final Exam 1 30 30 Total Workload: 144 Total Workload / 25 (h): 5.76 ECTS Credit: 6