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	10
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Learn the theory and economic applications of statistical topics such as probability, random variables and their probability distributions, point estimation, interval estimation and hypothesis testing which form the basis for econometric methods.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	In this course, the underlying theories of statistical concepts, which are the basis of econometrics, are discussed.
COURSE CONTENTS	WEEK TOPICS 1st Week Probability 2nd Week Probability Cont., Definitions of Discrete and Continuous Random Variables and Their Probability Distributions 3rd Week Definitions of Discrete and Continuous Random Variables and Their Probability Distributions Cont. 4th Week Mathematical Expectation 5th Week Mathematical Expectation Cont. 6th Week Moments 7th Week Special Discrete and Continuous Probability Distributions 8th Week Mid-Term 9th Week Sampling Distributions 10th Week Point Estimation 11th Week Point Estimation Cont. 12th Week Interval Estimation 13th Week Hypothesis Testing 14th Week Hypothesis Testing Cont.
RECOMENDED OR REQUIRED READING	Miller, I., Miller, M. (2014). John E. Freund?s Mathematical Statistics with Applications, 8/E Pearson. Newbold, P., Carlson, W., Thorne, B. (2013) Statistics for Business and Economics, 8/E Pearson. Erdem, İsmail. (2017) Matematiksel İstatistik Problemler ve Çözümleri. Seçkin Yayıncılık. 3. Baskı.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Discussion,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 40 Assignment 1 10 Total(%) 50 Contribution of In-term Studies to Overall Grade(%) 50 Contribution of Final Examination to Overall Grade(%) 50 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz Individual or group work 14 5 70 Preparation for Final exam 1 70 70 Course hours 14 3 42 Preparation for Midterm exam 1 60 60 Laboratory (including preparation) Final exam 1 2 2 Homework 1 55 55 Total Workload 301 Total Workload / 30 10,03 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No