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Course Description Course Name : Statistics Course Code : OGK303 Course Type : Compulsory Level of Course : Sub-Level (Undergraduate Degree) Year of Study : 3 Course Semester : Fall (16 Weeks) ECTS : 3 Name of Lecturer(s) : Assoc.Prof.Dr. KAMURAN TARIM GÖZÜBATIK Learning Outcomes of the Course : Explains the principal statistical concepts Explains measures of central tendency Explains measures of distribution Explains techniques of correlation Describes hypothesis testing Explains tests of difference Explains chi square analysis Does statistical data analysis with packet softwares (SPSS) . Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : none Aim(s) of Course : The main objective of this course is to gain basic concepts of statistics aplied to education and to implement application of parametric and nonparametric techniques which are used in social sciences. Course Contents : Introduction to statistics and basic concepts in statistics,descriptive statistics (central tendency, distribution), correlation, hypothesis testing, tests of difference, chi square analysis, statistical data analysis with packet softwares (SPSS) . Language of Instruction : Turkish Work Place : Lab   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Basic statsitical concept -Variable - Measurement and Scale Types Büyüköztürk (2010) related chapter Lecture Discussion 2 Organization of data -Establish the original frequency table -Examine the frequency of tables used in research. Büyüköztürk (2010) related chapter Lecture Discussion 3 Measures of Central tendency - Steam and leaf plots -mod, median,mean Büyüköztürk (2010) related chapter Lecture Discussion 4 Measures of Dispersion -Standard Deviation -Variance Büyüköztürk (2010) related chapter Lecture Discussion 5 Techniques of correlation Büyüköztürk (2010) related chapter Lecture Discussion 6 Introduction to SPSS program -Variable definition -Introduction of some of the commands Modeling 7 Inserting data using SPSS program Modeling 8 Mid-term exam 9 Testing hypothesis -Steps of Hypothesis testing Büyüköztürk (2010) related chapter Lecture 10 Difference of means tests -Independent samples t-test Büyüköztürk (2010) related chapter Lecture Discussion 11 Difference of means tests -Dependent samples t-test Büyüköztürk (2010) related chapter Lecture Discussion 12 Applications of Independent and Dependent samples t-test Büyüköztürk (2010) related chapter Modeling Discussion 13 One-Way Variance Analysis Büyüköztürk (2010) related chapter Lecture Discussion 14 Applications of One-Way Variance Analysis Büyüköztürk (2010) related chapter Modeling Discussion 15 Non parametric tests -Chi square test Büyüköztürk (2010) related chapter Lecture Discussion Modeling 16/17 Final Exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Büyüköztürk, Ş, (2010).Data analyze handbook for social sciences. Ankara: PegemA Publications 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 1 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 Explains basic concepts related to Science and Mathematics. 0 2 Modifies education settings to accommodate children with special needs and applies an inclusive education. 0 3 Has the skills of active listening, empathy, self-expression, and use of communication technology for effective interpersonal communication. 0 4 Explains the theories of development, learning, and education related to pre-school children. 0 5 Prepares an annual/daily plan by considering pre-school children´s developmental characteristics, individual differences, and their interests and needs. 0 6 Does multifaceted assessment and evaluation to support children´s development and provide long lasting educational effects. 0 7 Explains regulations, principles and education program about early childhood education. 0 8 Applies appropriate methods and techniques to support children´s development from all perspectives. 0 9 Designs and organizes educational environments in accordance with children´s developmental needs, physical conditions and principles of effective classroom management. 0 10 Chooses, prepares and uses materials appropriate for children´s developmental level and individual characteristics. 0 11 Uses family involvement strategies actively. 0 12 Has the ability to search, discover, create alternative solutions, reach information, think critically and engages in productive discussions for personal and professional improvement. 0 13 Uses information technology effectively to reach educational goals. 0 14 Improves him-/herself continuously in scientific, social, cultural and athletic field besides professional development. 0 15 Plans and conducts a scientific project , and do necessary analysis by using scientific research methodology . 5 16 Has necessary skills and knowledge in the fields of music, games and drama. 0 17 Takes an active role in individual and group activities and successfully finish the tasks. 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) 1 14 14 Assesment Related Works     Homeworks, Projects, Others 1 2 2     Mid-term Exams (Written, Oral, etc.) 1 4 4     Final Exam 1 6 6 Total Workload: 68 Total Workload / 25 (h): 2.72 ECTS Credit: 3