TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Master's Degree Without Thesis
YEAR OF STUDY	1
SEMESTER	First Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	Professor Hakkı Okan Yeloğlu
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Know the basics of statistics 2) Know the subjects of hypothesis testing 3) Know the subjects of simple and multiple regression 4) Know the subjects of non-parametric statistics
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	There are no required courses
COURSE DEFINITION	Definitions of data, unit, variable, population and sample will be given in the course. Central tendency and dispersion measures, propability, probability distributions, confidence intervals nad hypothesis tests wiil be examined. Correlation and regresiion analysis, relations among variables, model building structural equation modelling are the other subjects of the course. The moderating and the mediating effects of variables, multivariate modelling will be examined.
COURSE CONTENTS	WEEK TOPICS 1st Week Sampling Distribution 2nd Week Estimation of Population Mean and Population Binomial Proportion and related Tests of Hypotheses 3rd Week Estimation of the Difference Between Two Population Means and of the Difference Between Two Population Binomial Proportions and related Tests of Hypotheses 4th Week Estimation and Tests of Hypotheses Related to variances 5th Week Test for Goodness of Fit and Independence 6th Week Analysis of Variance and Design of Experiment 7th Week Analysis of Variance and Design of Experiment 8th Week MIDTERM 9th Week Simple and Multiple Linear Regression Analysis and Model Building 10th Week Simple and Multiple Linear Regression Analysis and Model Building 11th Week Index Number; Forecasting 12th Week Non-Parametric Statistical Methods 13th Week Non-Parametric Statistical Methods 14th Week Statistical Quality Control
RECOMENDED OR REQUIRED READING	Statistics for Business and Economics, Anderson, D.R., Sweeney, D.J., and Williams, T.A., 7th Edition, International Thomson Publishing, 1998. Applied Statistics, Neter J., Wasserman, W., Whitmore, G.A., 4th. Edition, Allan and Bacon, 1993.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Problem Solving,Other
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Assignment 1 10 Project 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 3 3 Preparation for Quiz Individual or group work 14 6 84 Preparation for Final exam 1 50 50 Course hours 14 3 42 Preparation for Midterm exam 1 50 50 Laboratory (including preparation) Final exam 1 3 3 Homework 1 25 25 Project 1 35 35 Total Workload 292 Total Workload / 30 9,73 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No