TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Master's Degree With Thesis
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	Assistant Professor Pelin Toktaş
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Improve ability of statistical data classifying, processing, summarizing and interpreting 2) Gain an ability of information generation, estimation and reporting 3) Use sampling distributions in confidence intervals and sampling distributions, gain an ability of statistical inference 4) Determine relationship between variables in research studies
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION
COURSE CONTENTS	WEEK TOPICS 1st Week Fundamentals of Probability, 2nd Week Definition of Probability, Conditional Probability, Bayes' Theorem and Independent Events, 3rd Week Random Variable and Probability Distribution Functions I, 4th Week Random Variable and Probability Distribution Functions I and Mathematical Expectation, 5th Week Discrete Probability Distribution Applications 6th Week Continuous Probability Distributions Applications 7th Week Random Sampling and Important Statistics 8th Week Midterm 9th Week Sampling Distribution, Sampling Distributions for Sample Means and Variances, 10th Week Chi squared, T and F Distributions, 11th Week One- and Two-Sample Estimation Problems 12th Week Hypothesis Testing, Usage of P-Value, One- and Two- Sample Hypothesis Testing (for a Mean and Mean Differences), (for a Variance and the Ratio of Variances), 13th Week Regression Analysis and Correlation 14th Week Discrimination Analysis, Classification and Clustering
RECOMENDED OR REQUIRED READING	(1) Walpole R.E., Myers R.H. Myers Sh. L. Ye K. Probability and Statistics or Engineers and Scientists Prentice Hall. 7th edition. (2) Akdeniz F. "Olasılık ve İstatistik", Nobel Kitabevi, 13. Baskı, 2007. (3) Erbaş S. O. "Olasılık ve İstatistik", Gazi Kitabevi.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Discussion,Questions/Answers,Project,Lecture,Case Study
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
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz Individual or group work 14 14 196 Preparation for Final exam 1 25 25 Course hours 14 3 42 Preparation for Midterm exam 1 25 25 Laboratory (including preparation) Final exam 1 2 2 Homework 1 14 14 Total Workload 306 Total Workload / 30 10,2 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No