Course Information Semester Course Code Course Title T+P+L Credit ECTS 4 99300007 Basic Statistics 3+0+0 4 4 Course Details Language : Turkish Level : Bachelor's Degree Department / Program : Social Work Mode of Delivery : Face to Face Type : Compulsory Objectives : To teach students the use of statistics in research along with the basic statistical method and the evaluation of statistical analysis. Content : Definition, purpose and importance of statistics; organization of data; presentation of data in tables and graphs; measures of central tendency and distribution; point estimation and confidence intervals; basic sampling methods and calculations; hypothesis testing; analysis method choices, comparison of measurement averages, parametric and nonparametric tests, regression and correlation analysis are examined. The course is conducted using the SPSS package program. Methods & Techniques : Prerequisites and co-requisities : None Course Coordinator : None Name of Lecturers : Instructor Özlem AKARÇAY PERVİN Assistants : None Work Placement(s) : No Recommended or Required Reading Resources : Gravetter, F.J. & Wallnau L.B. (2004). Statistics for the Behavioral Sciences.Sosyal Bilimler için İstatistik, Şener Büyüköztürk, Pegem Akademi YayıncılıkÇıkarsamalı İstatistik, Prof. Dr. Şanslı Şenol, Nobel Akademik Yayıncılık Semester : Prof.Dr. Fikri Akdeniz,”Olasılık ve İstatistik”, Baki Kitabevi Course Category Social Sciences 100% In-Term Study Informations In-Term Studies Quantity Percentage Mid-terms 1 40% Final examination 1 60% Total 2 100% Activity Informations Activities Quantity Duration Total Work Load Course Duration 14 3 42 Hours for off-the-c.r.stud 14 3 42 Assignments 1 6 6 Mid-terms 1 10 10 Project 1 7 7 Final examination 1 10 10 Total Work Load ECTS: 4 117 Course Learning Outcomes Upon the successful completion of this course, students will be able to: No Learning Outcomes 1 Knows data collection techniques and can present the data obtained in tables and graphs. 2 Can make a sample calculation. 3 One can do distribution measurements and normal distribution tests. 4 Knows parametric and nonparametric tests and can analyze data using SPSS. Weekly Detailed Course Contents Week Topics 1 Basic concepts of statistics 2 Data collection and compilation; summarizing data, summarizing data with graphical methods, series 3 Introduction to Central Tendency measures 4 Introduction to dispersion measures 5 Discrete and continuous random variables and probability distributions 6 Interval estimate, confidence interval for population mean, confidence interval for population ratio 7 Introduction to Hypothesis Testing 8 Midterm 9 Hypothesis testing (single sample) 10 Hypothesis testing (two or more samples) 11 Non-Parametric Hypothesis Tests, Chi-Square Test 12 Regression Analysis and Correlation Analysis 13 In-class studies on hypothesis testing with examples -1 14 In-class studies on hypothesis testing with examples -2 Contribution of Learning Outcomes to Programme Outcomes P1P2P3P4P5P6P7P8P9P10P11P12 All 54 C1 5 C2 54 C3 5 bbb
