Course Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  İST103  INTRODUCTION TO STATISTICS  Compulsory  1  1  6 

Level of Course Unit 
First Cycle 
Objectives of the Course 
The purpose of this lecture is to construct the concepts of the science of statistics and make the students understand the basic philosophy of it. 
Name of Lecturer(s) 
Dr. Öğr. Üyesi Burcu AYTAÇOĞLU 
Learning Outcomes 
1  Ability of constructing the sample space of an experiment.  2  The concept of random variables.  3  The concept of probability measure.  4  Determining the measurement level of a random variable.  5  To see the relations between discrete and contiuous random variable and their measurement levels. 

Mode of Delivery 
Face to Face 
Prerequisites and corequisities 
None 
Recommended Optional Programme Components 
None 
Course Contents 
Finite, countable and uncountable set. Experiment. Sample space. Power set. Measurable space. Random variable.Discrete and contiuous random variables. Measurement levels: Classifying, Ordering, Interval and Ratio. Population. Sample. Parameter. Statistics. Probability measure and its properties. Probabilty space. Probabilty distributions of random variables. Expected value. Central tendency measures. Variablity measures. Joint and marginal probability distributions. Independency. Conditional distributions. Some discrete theoretical distributions. Normal distribution. Standard normal distribution. Law of large numbers. Central limit theorem. Statistical estimation. Statistical hypothesis testing. 
Weekly Detailed Course Contents 

1  Introduction. Finite, countable and uncountable set. Experiment. Sample space. Power set. Measurable space.  Problem solving   2  Random variable.Discrete and contiuous random variables.  Problem solving   3  Measurement levels: Classifying, Ordering, Interval and Ratio. Homework.  Problem solving   4  Frequency distributions  Homework Problem solving   5  Graphical representation of quantitative and qualitative data. (Pie chart, bar chart, histogram, stem and leaf display)  Problem solving   6  Population. Sample. Parameter. Statistics. Probability measure and its properties. Probabilty space.  Problem solving   7  Central tendency measures. Homework  Homework Problem solving   8  Variablity measures.  Problem solving   9  Midterm Exam.    10  Probabilty distributions of discrete random variables.  Computer application   11  Probabilty distributions of contiuous random variables.  Computer application   12  Expected value. Variance  Computer application   13  Joint and marginal probability distributions. Independency. Conditional distributions  Computer application   14  Some discrete theoretical distributions.  Computer application   15  Normal distribution. Standard normal distribution. Law of large numbers. Central limit theorem.  Computer application   16  Final exam   

Recommended or Required Reading 
1. Şanslı Şenol, “Tanımlayıcı İstatistik”, Nobel Yayın Dağıtım, ISBN 9786053951469
2. Fikret İkiz, Halis Püskülcü, Şaban Eren, “İstatistiğe Giriş” Barış Yayınları, İzmir
3. Amir D. Aczel, "Statistics, (Concepts and Applications)", McGrawHill Education ISBN 025611935X / 9780256119350 / 025611935X. 
Planned Learning Activities and Teaching Methods 

Assessment Methods and Criteria  
Midterm Examination  1  100  SUM  100  
Final Sınavı  1  100  SUM  100  Term (or Year) Learning Activities  40  End Of Term (or Year) Learning Activities  60  SUM  100 
 Language of Instruction  Turkish  Work Placement(s)  None 

Workload Calculation 