TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	2
SEMESTER	Third Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	Associate Professor Zuhal Yeniçeri Kökdemir
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Discuss psychological and social research based on numerical data. 2) Be able to evaluate statistical results of any given research reports. 3) Transfer probabilistic thinking skills to various problems. 4) Be able to apply statistical software programs and able to interpret data descriptively. 5) Evaluate statistical graphs properly.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	The course includes an introduction to probabilistic and statistical techniques for describing data. Topics such as probability, frequency analyses, measures of central tendency and measure of deviation are explained by using computer software. The emphasis is on the effective handling of the data and understanding the basic principles of statistical thinking.
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction and Course Overview 2nd Week What is Statistics? 3rd Week Fundamental Concepts of Statistics 4th Week Frequency distributions 5th Week Standard deviations & The distribution of scores 6th Week Confidence Interval & Hypothesis Testing 7th Week Overall 8th Week Mid-Term Exam 9th Week Getting starting with Jamovi 10th Week Getting starting with Jamovi II 11th Week Correlation 12th Week Simple Linear Regression 13th Week Multiple Regression 14th Week Overall
RECOMENDED OR REQUIRED READING	Jamovi, J. N. & Foxcroft, D. R. (2018). Learning statistics with jamovi. Retrieved from https://blog.jamovi.org/2018/10/25/learning-statistics-with-jamovi.html Recommended: Dancey, C. P., & Reidy, J. (2007). Statistics without maths for psychology. Pearson education.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Practice,Questions/Answers,Other
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Assignment 6 30 Total(%) 60 Contribution of In-term Studies to Overall Grade(%) 60 Contribution of Final Examination to Overall Grade(%) 40 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 1 1 Preparation for Quiz Individual or group work 14 2 28 Preparation for Final exam 1 20 20 Course hours 14 3 42 Preparation for Midterm exam 1 10 10 Laboratory (including preparation) Final exam 1 1 1 Homework 6 8 48 Total Workload 150 Total Workload / 30 5 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No