Course Title Course Code Program Level
Basic Statistics RPDZ207 Psychological Counseling and Guidance (2018-2019 Academic Year and After) B.A. / B.Sc.

Course Term
(Course Semester)
Teaching and Learning Methods
Theory Practice Lab Projects/Field Work Seminars/Workshops Other Total Credits ECTS Credits
28 - - - - 80 108 2 4

Teaching Staff Dr. Öğr. Üyesi Aslıhan Erman Aslanoğlu
Language of Instruction Türkçe (Turkish)
Type Of Course Compulsory
Prerequisites -
Recommended Optional Programme Component -
Course Objectives The aim of this course is to enable students to choose the appropriate statistical technique for their research questions, apply it in a computer program, and interpret the outputs.
Course Content The basic concepts related to statistics, organizing data, descriptive statistics, probability, probability distributions, parametric and nonparametric hypothesis testing, correlation and types, simple linear regression, multiple regression analysis, t-tests, variance analysis and application of these statistics in package programs.
Learning Outcomes (LO) At the end of this course, students; 1) will explain the basic concepts of statistics. 2) will enters the data into SPSS program, examines lost data and extreme values and makes sense of the data. 3) will discuss the concepts of sample distribution and normal distribution. 4) will calculate and interpret descriptive statistics and standard scores. 5) will summarize the data with appropriate graphics. 6) will make correlation, simple and multiple linear regression calculations and interpret the results of the analysis. 7) will establish the hypotheses appropriate to the purpose of the research / research question and test their hypotheses. 8) will knows in which situations non-parametric tests will be used, makes calculations related to them, and interprets the results of the analysis.
Mode of Delivery Face to face
Course Outline
Week Topics
1. Week Basic concepts related to statistics
2. Week Entering data into SPSS program
3. Week Measures of central tendency, histogram, bar, column and line charts
4. Week Measures of variability (standard deviation, variance, quartile deviation)
5. Week Probability, standard normal distribution and standard scores
6. Week Correlation
7. Week Regression
8. Week Midterm
9. Week T-test (one sample)
10. Week T-test (dependent / independent sample tests)
11. Week Analysis of variance
12. Week Nonparametric tests
13. Week Nonparametric tests
14. Week Nonparametric tests
Mid-term (%) 40
Quizes (%)
Homeworks/Term papers (%)
Practice (%)
Labs (%)
Projects/Field Work (%)
Seminars/Workshops (%)
Final (%) 60
Other (%)
Total(%) 100
Course Book (s) and/or References Sosyal Bilimler için Veri Analizi El Kitabı İstatistik, Araştırma Deseni SPSS Uygulamaları ve Yorum, Prof. Dr. Şener Büyüköztürk, Pegem Akademi Yayıncılık
Work Placement(s)
The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO)