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)	Professor Kumru Didem Atalay
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Gain an ability to understand the basic methodology of statistics 2) Understand the derivation of the basic properties of the probability distributions depending upon the knowledge and skills given by the prerequisite mathematics and introductory statistics courses.
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 Random Sampling, Some Important Statistics 2nd Week Concept of Sampling distribution, Sampling Distributions of Means and S2 3rd Week t-Distribution, F-Distribution 4th Week One- and Two-Sample Estimation Problems (for a Mean and Mean Differences) 5th Week One- and Two-Sample Estimation Problems (for a Proportion and Ratio of Proportions) 6th Week One- and Two- Sample Hypothesis Testing (for a Variance and the Ratio of Variances), Maximum Likelihood Estimation 7th Week Hypothesis Testing, Type I and II Errors. Usage of P-Value, 8th Week Midterm 9th Week One- and Two- Sample Hypothesis Testing (for a Mean and Mean Differences) 10th Week One- and Two-Sample Hypothesis Testing (for a Variance and the Ratio of Variances) 11th Week Goodness of fit, Independence and Homogeneity Tests 12th Week Simple Linear Regression and Correlation 13th Week Analysis of Variance Application Lack-of-fit Test 14th Week Introduction to Multivariate Regression Analysis
RECOMENDED OR REQUIRED READING
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Presentation,Project,Questions/Answers,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