TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Master's Degree With Thesis
YEAR OF STUDY	1
SEMESTER	Second Term (Spring)
NUMBER OF ECTS CREDITS ALLOCATED	8
NAME OF LECTURER(S)	Assistant Professor Kadriye Belgin Demirus
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Know the basic concepts in Statistics 2) Understand the concept of the different methods. 3) Comprehend the importance of the hypothesis testing. 4) Based on the research aim, determine and apply the appropriate statistical analysis techniques and interpret correctly the results of these analyses.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Hypothesis testing, correlational techniques, comparing the scores of independent sampling (t-testi, ANOVA), comparing the scores of dependent sampling (t-test, ANOVA), for mixed measurments ANOVA, regression analysis, analysis of covariance, chi-square, and SPSS applications.
COURSE CONTENTS	WEEK TOPICS 1st Week Basic concepts in statistics (population, sample, variables and types) 2nd Week Organizations of data (Frequency distributions and tables, graphics of data)Central tendency measures (mean, median, mode, percentiles) SPSS Practices Attributions of the distributions (positive and negative skewness) 3rd Week Variability Measures ( standart deviations, variance etc in unclassified data )Normal distribution, standart scores (z and t scores) SPSS Practices 4th Week Correlation Techniques SPSS Practices (Pearson product-moment correlation, Spearman's rank correlation, point-biserial correlation)SPSS Practices 5th Week Correlation Techniques- continue (Phi correlation, bi-serial correlation, tetrachoric correlation) 6th Week Regression Techniques (mutliple regression)Variable selection methods (backward, forward and stepwise) SPSS Practices 7th Week Inferential statistics : (a) Estimation of population parameters, (b) Hypothesis testing.Estimation of population parameters Central Limit Teorem, sampling distrubution, concept of standart error Confidence interval, z and t distrubutions and concept of degrees of fredoom 8th Week Mid-term Exam 9th Week Concept of hypothesis, types of hypothesis Hypothesis testing. Accept areas of one -tailed and two-tailed hypothesis Error types which made in hypothesis testing (Type I error and Type II error) 10th Week Comparison of a sample mean with the population mean: z and t test Comparision of two samples' means: dependent and independent samples Standart error of difference Comparison of two independent samples' means: Independent sample t test SPSS Practices 11th Week Comparison of two dependent samples: one sample t test , direct-difference method 12th Week One way Anova-SPSS Practices 13th Week Non-Parametric Tests: X2 test (fit test and independency test)---SPSS Practices 14th Week Non-Parametric Tests: Man-Whitney U test, Kruskall Wallis H test
RECOMENDED OR REQUIRED READING	Baykul, Y. (2000). Eğitimde ve psikolojide ölçme. Ankara: ÖSYM Yayınları. Büyüköztürk, Ş. (2002). Sosyal Bilimler İçin Veri Analizi El Kitabı İstatistik, Araştırma Deseni -SPSS Uygulamaları ve Yorum. Ankara: Pegem Yayıncılık. Karasar, N. (2000). Bilimsel araştırma yöntemi. (10. Basım).Nobel Yayın Dağıtım: Ankara. Özdamar, K. (2002). Paket Programlar İle İstatistiksel Veri Analizi (Çok Değişkenli Analizler). Eskişehir: Kaan Kitabevi.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Problem Solving,Practice
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Other 1 10 Total(%) 40 Contribution of In-term Studies to Overall Grade(%) 40 Contribution of Final Examination to Overall Grade(%) 60 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam Preparation for Quiz Individual or group work Preparation for Final exam Course hours Preparation for Midterm exam Laboratory (including preparation) Final exam Homework Total Workload Total Workload / 30 ECTS Credits of the Course 8
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No