TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Master's Degree Without Thesis
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	Assistant Professor Hajar Farnoudkıa
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Know sampling methods. 2) Can calculate descriptive statistics. 3) Can organize and analyze the data related to his/her fields. 4) Can define the statistical problems and offer solutions based on evidence and research.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION	This course includes different research and measurement methods, research ethics, sampling methods and to write a research report.
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction to Statistics 2nd Week Data collection and classification of data 3rd Week Descriptive Statistics I 4th Week Possibility 5th Week Normal distribution 6th Week Sampling distribution 7th Week Confidence intervals 8th Week Midterm 9th Week Creating and editing data set - SPSS LAb 10th Week Frequency distribution, graphs, descriptive statistics-SPSS Lab 11th Week Single sample hypothesis tests-SPSS LAb 12th Week Two-sample hypothesis tests; ANOVA-SPSSLab 13th Week Cross-tabulation, Chi-square tests, nonparametric hypothesis tests-SPSS Lab 14th Week Correlation and regression-SPSS LAb
RECOMENDED OR REQUIRED READING	Berenson, M., Levine, D., Kerehbiel, T., Stephan, D. (2011). Basic Business Statistics with MyMathLab Global, Global Edition, 12/E Prentice Hall
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Project 1 30 Total(%) 60 Contribution of In-term Studies to Overall Grade(%) 60 Contribution of Final Examination to Overall Grade(%) 40 Total(%) 100
LANGUAGE OF INSTRUCTION	English
WORK PLACEMENT(S)	No