TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	3
SEMESTER	Fifth Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED	4
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Defines the basic concepts of probability theory, some distributions and their properties. 2) Defines the aims and some basic concepts of statistics. 3) Basit istatistik uygulama tekniklerini kullanabilir.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	No
COURSE DEFINITION	Basic concepts, frequency distributions, histogram and frequency polygon, graphical representation of categorical data and applications. Parametric and nonparametric measures of central tendency and applications. Parametric and nonparametric measures of dispersion and applications. Skewness and kurtosis. Basic concepts in probability theory, addition and multiplication rule, Bayes theorem, probability distribution table, expected value and applications. Basic concepts in discrete probability distributions, Binomial, Poisson and hypergeometric distributions and applications.
COURSE CONTENTS	WEEK TOPICS 1st Week Statistics, definitions, concepts and usage areas of statistics 2nd Week Descriptive statistics, frequency distributions, bar and pie charts, histograms 3rd Week Numerical descriptors: mean, median, mode. Measures of Variability 4th Week Probability, probability laws, conditional probabilities, Bayes' theorem, sage areas 5th Week Random variables, probability distributions, discrete and continuous distributions, related probabilities 6th Week Some important discrete distributions: The Binomial, Hypergeometric and Poisson distributions 7th Week Some important Continuous distributions: Uniform, exponential and the Normal distributions 8th Week Midterm I 9th Week Sampling distribution, parameter estimation methods 10th Week Estimation of means, and difference between means 11th Week Estimation of population proportions and the difference between population proportions. 12th Week Estimation of variances 13th Week Estimation of the ratio of population variances 14th Week Review
RECOMENDED OR REQUIRED READING	Statistics for Business and Economics, by Anderson/Sweeney/Williams, West Publishing Company, 1996 Statistics for Management and Economics, 7th Edition, by Mendenhall/Reinmuth/Beaver, Duxbury Press, 1993 Busines Statistics by Example, 5th Edition, by Terry Sincich, Prentice-Hall Inc. (International Students Edition), 1996. Business Statistics, 6th Edition, by Daniel/Terrell, Hougton Mifflin (International Students Edition), 1996.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Discussion,Questions/Answers,Case Study,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 40 Assignment 5 20 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 12 2 24 Preparation for Final exam 1 20 20 Course hours 14 3 42 Preparation for Midterm exam 1 15 15 Laboratory (including preparation) Final exam 1 2 2 Homework 5 3 15 Total Workload 120 Total Workload / 30 4 ECTS Credits of the Course 4
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No