TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	4
NAME OF LECTURER(S)	Associate Professor Emine Cabı
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Comprehend the importance of the hypothesis testing. 2) Determine and apply the appropriate statistical analysis techniques and interpret correctly the results of these analyses based on the research aim. 3) Apply the appropriate statistical analysis techniques on SPSS programme based on the research aim.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Data base concept, (data, information and recording concepts and types), formation of a data base, updating, data base orders, programming in data base, filing procedures in data base, reporting, data Exchange with other packed programs, Project design in data base.
COURSE CONTENTS	WEEK TOPICS 1st Week Concept of variable and variable types Population-sample-statistics-parameter Sampling procedure and factors affect sample size Fundamental subjects of inferential statistics (a) Estimation of population parameters, (b) Hypothesis testing 2nd Week Estimation of population parameters 3rd Week Concept of hypothesis, types of hypothesis 4th Week Comparison of a sample mean with the population mean: t test 5th Week Comparision of two samples' means: dependent and independent samples t test 6th Week Comparison of two small and independent samples' means: Independent sample t test 7th Week SPSS Practices (independent samples t test) 8th Week Chi-square tests (SPSS) 9th Week MIDTERM 10th Week Correlation Analysis (SPSS) 11th Week Regression Analysis (SPSS) 12th Week Regression Analysis (continious) (SPSS) 13th Week Non-Parametric Tests: Man-Whitney U test, Kruskall Wallis H test (SPSS) 14th Week Non-Parametric Tests: Man-Whitney U test, Kruskall Wallis H test (SPSS)
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
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 40 Total(%) 40 Contribution of In-term Studies to Overall Grade(%) 40 Contribution of Final Examination to Overall Grade(%) 60 Total(%) 100
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No