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	6
NAME OF LECTURER(S)	Professor Serpil Cula Assistant Professor Sinem Kozpınar Instructor Nurettin Kaya
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Know and use the key data collection methods,population, sample and understand how to categorize data by type and level of measurement. 2) Construct and interpret a frequency distributions for quantitative and qualitative data 3) Construct and interpret various type of graphs for quantitative and qualitative data. 4) Compute, interpret measures of central tendency and measures of variation and understand what these measures represent. 5) Apply the common rules of probability and compute the probability. 6) Know how to determine discrete and continuous probability distributions and be able to calculate probability using the binomial, poisson, normal distribution table. 7) Have analytical idea. 8) Use SPSS
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	This course covers: Variables, frequency distributions and graphs; measures of central tendency; measures of variation; skewness and kurtosis; fundamental concepts of probability; random variables, independence of events, conditional probability, Bayes theorem; univariate and bivariate distributions; some commonly used discrete and continuous probability distributions, the law of large numbers and the central limit theorem.
COURSE CONTENTS	WEEK TOPICS 1st Week What is Statistics? Definitions, Tools and Tecniques for collection data, Sampling Tecniques 2nd Week Frequency Distributions 3rd Week Frequency Distributions, Graphs 4th Week Measures of Central Tendency 5th Week Measures of Variation 6th Week Fundamental Concepts of Probability 7th Week Conditional Probability, Bayes Theorem 8th Week Midterm 9th Week Some Commonly Used Discrete Probability Distributions 10th Week Some Commonly Used Discrete Probability Distributions 11th Week Continuous Probability Distributions 12th Week Continuous Probability Distributions 13th Week The Central Limit Theorem 14th Week Review
RECOMENDED OR REQUIRED READING	1-D.F. Groebner, P.W. Shannon, P. C. Fry, K. D. Smith, Business Statistics, Pearson Education, Sixth Edition, 2005. 2-S.Cula, F.Z. Muluk, Temel İstatistik Yöntemleri, Başkent Üniversitesi, İkinci Baskı 2010.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Quiz 3 10 Project 1 15 Total(%) 55 Contribution of In-term Studies to Overall Grade(%) 55 Contribution of Final Examination to Overall Grade(%) 45 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 1 1 Preparation for Quiz 3 3 9 Individual or group work 14 3 42 Preparation for Final exam 1 40 40 Course hours 13 3 39 Preparation for Midterm exam 1 20 20 Laboratory (including preparation) Final exam 1 1 1 Homework Project 1 20 20 Total Workload 172 Total Workload / 30 5,73 ECTS Credits of the Course 6
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No