
Description of Individual Course UnitsCourse Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  707001231997  INTRODUCTION TO STATISTICSII  Compulsory  1  2  5 
 Level of Course Unit  First Cycle  Objectives of the Course  This is a course aiming to teach basic steps the hypothesis testing statistics in psychology annd social sciences. Sample mean, variances and frequency variations will be taken to test the hypothesis course students on the basis of real data using statistical hypothesis testing is aimed to become.  Name of Lecturer(s)  Doç. Dr. Mediha Korkmaz  Learning Outcomes  1  Being able to understand key concepts involved in psychological statistics.  2  Being able to learn the basic hypothesis statistical techniques ( conceptually and numerically).  3  Being able to correctly apply statistical techniques to psychological data.  4  Being able to correctly interpret results of analyses of psychological data.  5  Bing able to clearly convey orally and in writing the details of statistical analyses and results. 
 Mode of Delivery  Face to Face  Prerequisites and corequisities  none  Recommended Optional Programme Components  none  Course Contents  In this course will be discussed basic concepts such as hypothesis testing, the null and the alternative hypothesis, the level of significance, Type I and Type II errors, red zone etc. During to courses Student's ttests, oneway analysis of variance and chisquare tests will be covered.  Weekly Detailed Course Contents  
1  Introduction of the course content and the concept of statistics in social science.  Meeting   2  Basic concepts: Hypothesis testing, null hypothesis, alternative hypothesis, the significance level.  Lecture ( Dancey&Reidy, chap. 4. pg.. 127140)   3  Type I error, Type II error, steps in hypothesis testing  Lecture ( Dancey&Reidy,chap. 4. pg.. 140153)
homework exercises   4  Confidence intervals and estimation  Lecture ( Dancey&Reidy, chap. 3. pg.. 100120)   5  Student's t distribution, one sample ttest  Lecture ( Dancey&Reidy, chap. 6. pg.. 207217)   6  Independent sample ttest,paired sample t test  Lecture (Büyüköztürk &ark. , Bölüm 8)   7  Effect size and Power  Lecture (Dancey &Reidy, chap. 7. pg.. 237253)
  8  Effect size and Power  Lecture (Dancey &Reidy, chap. 7. pg.. 237253)   9  Midterm    10  F distribution and analysis of variance  Lecture (Dancey &Reidy, chap. 9. pg.. 237253)   11  Oneway variance analysis and posthoc test.  Lecture (Büyüköztürk &ark. , Bölüm 9)   12  Oneway variance analysis and posthoc test.  Lecture (Hovardaoğlu, chap. 7. pg.. 127149)
homework exercises   13  Nonparametric statistics  Lecture (Büyüköztürk &ark. , Bölüm 9)   14  Chisquare tests, goodnessoffit test  Lecture (Büyüköztürk &ark. , Bölüm 10)   15  MannWhitney U test and other nonparametric tests  Lecture (Büyüköztürk &ark. , Bölüm 10)   16  Final Exam   
 Recommended or Required Reading  Büyüköztürk,Ş.,Çokluk,Ö.&Köklü,N.(2011). Sosyal bilimler için istatistik, Pegem Akademi, Ankara.
Dancey,C.P, Reidy,J. (2004). Statistics without maths for psychology. 3th Ed. London: Pearson Education Limited.
 Planned Learning Activities and Teaching Methods   Assessment Methods and Criteria   Language of Instruction  Turkish  Work Placement(s)  none 
 Workload Calculation 

Midterm Examination  1  3  3  Final Examination  1  3  3  QuestionAnswer  14  3  42  Individual Study for Homework Problems  5  4  20  Individual Study for Mid term Examination  1  15  15  Individual Study for Final Examination  1  15  15  Reading  13  4  52  
Contribution of Learning Outcomes to Programme Outcomes  LO1  1  1    2  2  3  1   3   1    1  LO2  2  2   1  3  3  4  2   4   2  1   2  LO3  3  3   2  4  4  5  3   5   3  2   3  LO4  3  3   2  4  4  5  3   5   3  2   3  LO5  3  3   2  4  4  5  3   5   3  2   3 
 * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High 



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