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Course Description Course Name : Statistics II Course Code : EM 202 Course Type : Compulsory Level of Course : First Cycle Year of Study : 2 Course Semester : Spring (16 Weeks) ECTS : 6 Name of Lecturer(s) : Asst.Prof.Dr. MERTDEMİRCİOĞLU Learning Outcomes of the Course : Define the basic concepts of sampling and sampling distributions. Define the basic properties and rules of statistical estimation. Define the basic properties and rules of hypothesis testing Test the statistical hypotheses that are constructed and interpret the results. Use the statistical tables such as Z, t, Chi-square and F Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : The aim of this course is to introduce the students sampling methods and sampling distributions and provide them with the ability to estimate the population parameters, construct and test hypothesis. Course Contents : Sampling theory and sampling distributions, central limit theorem, statistical estimation and confidence intervals, statistical decision and hypothesis testing Language of Instruction : Turkish Work Place : Bloc 3   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Sampling theory and sampling distributions Reading the given materials Presentation and Discussion 2 Central limit theorem Reading the given materials Presentation and Discussion 3 Introduction to statistical estimation Reading the given materials Presentation and Discussion 4 Properties of statistical estimators and point estimation Reading the given materials Presentation and Discussion 5 Confidence intervals for the mean and the mean difference Reading the given materials Presentation and Discussion 6 Confidence intervals for the ratio Reading the given materials Presentation and Discussion 7 Confidence intervals for the variance Reading the given materials Presentation and Discussion 8 Mid-term Exam Preparation for Exam Written Exam 9 Statistical decision theory and introduction to hypothesis testing Reading the given materials Presentation and Discussion 10 Statistical hypothesis construction Reading the given materials Presentation and Discussion 11 Hypothesis testing for the mean Reading the given materials Presentation and Discussion 12 Hypothesis testing for the mean difference Reading the given materials Presentation and Discussion 13 Hypothesis testing for the ratio Reading the given materials Presentation and Discussion 14 Hypothesis testing for the variance Reading the given materials Presentation and Discussion 15 Analysis of variance Reading the given materials Presentation and Discussion 16/17 Final Exam Preparation for Exam Written Exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  AKDENİZ, F. (2010), Olasılık ve İstatistik. Nobel Kitabevi  ÜNVER, Ö ve GAMGAM, H. (2008), Uygulamalı Temel İstatistil Yöntemler. Seçkin Kitabevi.  GÜRSAKAL, N. (2008), Betimsel İstatistik. Dora Yayıncılık Required Course Material(s)  ÇİL, B. (2008), İstatistik. Detay Yayıncılık   ERSOY, N ve Erbaş, S. O., (1996), Olasılık ve İstatistiğe Giriş. Gazi Kitabevi.   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 Use the basic enterprise resource planning (ERP) softwares 0 2 List and define the concepts of business management, and explain their relations to each other 0 3 List and define the fundamental conceptual models, numerical and statistical techniques of business administartion and identify their advantages and disadvantages. 0 4 List and define the relationship between the basic concepts of economy and business management ; indicate the strong and weak sides of each method. 0 5 Explain how to create the fundamental conceptual models and how to apply numerical and statistical techniques that are used in business administration. 5 6 Explain how to interpret the results gathered through the application and/or implementation of conceptual models and/or numerical and statistical methods of business management. 5 7 Determine appropriate methods to solve business problems 0 8 Evaluate the results that are obtained from applications of business management methods 0 9 Use the basic numerical and statistical softwares 5 10 Follow latest developments in the field, and sustain personal and professional development with the awareness of the necessity of life long learning 0 11 Use different resources in accordance with academic principles, synthesize the data gathered, and present them effectively in an unfamiliar field. 0 12 Use Turkish and at least one foreign language in accordance with the requirements in academic and business context 0 13 Perceive and interpret the feelings, ideas and behaviours of people appropriately, and express himself/herself accurately in written or oral format 0 14 Question traditional approaches, methods and implementations; develop and implement alternative methods when required 0 15 Recognize and apply social, scientific and professional ethical values. 2 16 Determine the most appropriate approaches, implementations and methods of business management considering sectors, their sizes, resources, cultures, goals and objectives 0 17 Monitor external factors such as industrial structures, competition, technologies, economics, politics, cultures that affects the activities of businesses and interpret their impact on businesses 1 18 Take initiative individually or/and as a member of a team, lead and work effectively 0 19 As well as professional development, improve him-/herself continuously in scientific, social, cultural and artistic fields according to his/her interests and abilities, identifying needs of learning. 0 * 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 5 70 Assesment Related Works     Homeworks, Projects, Others 0 0 0     Mid-term Exams (Written, Oral, etc.) 1 20 20     Final Exam 1 20 20 Total Workload: 152 Total Workload / 25 (h): 6.08 ECTS Credit: 6