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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 : 5 Name of Lecturer(s) : Prof.Dr. SEDA ŞENGÜL Asst.Prof.Dr. GÜLSEN KIRAL Learning Outcomes of the Course : Learn some continuous distributions Learn theories of samples and chosing samples Be able to categoriza data and analyze them Understand central inclination measures and dispersion measures Understand sample distributions and their features Learn prediction techniques and their application Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : To understand some of the continuous distribution, to teach the methods of sampling and sample selection,to analyze the data,to understand the measures of central tendency and dispersion measures,to teach sampling distributions and estimation methods,to understand hypothesis testing. Course Contents : Learn some continuous distributions, to learn the methods of sampling and sample selection, be able to analyze the data, measures of central tendency and dispersion clutch, clutch and properties of sampling distributions, to learn and use methods of estimation Language of Instruction : Turkish Work Place : Classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Normal Distribution, Standard Normal Distribution, Normal Approximation to the Binomial Distribution Readings Lecture 2 Important Continuous Random Variables and Distributions, Problem Solving Readings ,Problem Set and Application Lecture, Problem Session 3 Simple random sampling, systematic, stratified sampling, random cluster sampling Readings ,Problem Set and Application Lecture, Problem Session 4 Preparation of data, frequency distribution, Graphical Representations Readings ,Problem Set and Application Lecture, Problem Session 5 Measures of Central Tendency, Comparison between Measures of Central Tendency Readings ,Problem Set and Application Lecture, Problem Session 6 Measures of Dispersion, Coefficiency of Variation, Problem Solving Readings ,Problem Set and Application Lecture, Problem Session 7 Some Characteristics of Sample Mean and Variance, Point Estimation, Confidence Interval Readings ,Problem Set and Application Lecture, Problem Session 8 Mid-term Exam 9 Sample Size Determination, Confidence intervals for the two mass variance ratio Readings ,Problem Set and Application Lecture, Problem Session 10 Difference of averages of two mass, and confidence interval for the ratios difference Readings ,Problem Set and Application Lecture, Problem Session 11 the mass average, the mass variance, hypotheses for equal of two mass variance Readings Lecture, Problem Session 12 Difference of averages of two mass, and Hypothesis Testing for the ratios difference Readings ,Problem Set and Application Lecture, Problem Session 13 Compliance Tests Readings ,Problem Set and Application Lecture, Problem Session 14 İndependence Tests Readings ,Problem Set and Application Lecture, Problem Session 15 Independence Tests Readings ,Problem Set and Application Lecture, Problem Session 16/17 Final Exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)     Required Course Material(s)         Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 60     Homeworks/Projects/Others 2 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 Explain the importance of demand and supply in economy science and the well-running conditions of the market economy 1 2 Define the role of pricing within the event advantage of the market economy. 1 3 Define the role of the state in economy, money and financial policies, the central bank and the structure of the market. 1 4 Perceive the costs and benefits arising from the global economy 1 5 Produce numerical and policy options when confronted with problems. 1 6 Use quantitative and qualitative techniques of model building, decoding and interpretation. 5 7 Use the theory of economics in the analysis of economic events. 2 8 Use computer programs, do synthesis and present prepared data efficiently. 2 9 Apply the methods of economic analysis. 1 10 Analyze at conceptual level and acquires ability in comparing, interpreting, evaluating and synthesizing in order to develop solutions to problems 1 11 Take responsibility individually and / or in a team, take leadership and work effectively. 1 12 Follow innovative developments in the field being aware of the necessity of lifelong learning and improving him-/herself.. 1 13 Use of different sources about an unfamiliar field within academic principles, synthesize gained data and presents effectively. 1 14 Use Turkish and at least one foreign language in accordance with the requirements of academic and work life. 1 15 Understand and interpret related people´s feelings, thoughts, and behaviours correctly; expresse him-/herself accurately in written and oral language. 1 16 Question traditional attitudes, applications and methods, develop and apply new methods when needed. 1 17 Recognize and apply social, scientific and professional ethical values. 1 * 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 2 6 12     Mid-term Exams (Written, Oral, etc.) 1 16 16     Final Exam 1 18 18 Total Workload: 130 Total Workload / 25 (h): 5.2 ECTS Credit: 5