Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İST103INTRODUCTION TO STATISTICSCompulsory116
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
1Ability of constructing the sample space of an experiment.
2The concept of random variables.
3The concept of probability measure.
4Determining the measurement level of a random variable.
5To see the relations between discrete and contiuous random variable and their measurement levels.
Mode of Delivery
Face to Face
Prerequisites and co-requisities
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
WeekTheoreticalPracticeLaboratory
1Introduction. Finite, countable and uncountable set. Experiment. Sample space. Power set. Measurable space.Problem solving
2Random variable.Discrete and contiuous random variables.Problem solving
3Measurement levels: Classifying, Ordering, Interval and Ratio. Homework.Problem solving
4Frequency distributionsHomework Problem solving
5Graphical representation of quantitative and qualitative data. (Pie chart, bar chart, histogram, stem and leaf display)Problem solving
6Population. Sample. Parameter. Statistics. Probability measure and its properties. Probabilty space.Problem solving
7Central tendency measures. HomeworkHomework Problem solving
8Variablity measures.Problem solving
9Midterm Exam.
10Probabilty distributions of discrete random variables. Computer application
11Probabilty distributions of contiuous random variables.Computer application
12Expected value. VarianceComputer application
13Joint and marginal probability distributions. Independency. Conditional distributionsComputer application
14Some discrete theoretical distributions. Computer application
15Normal distribution. Standard normal distribution. Law of large numbers. Central limit theorem.Computer application
16Final exam
Recommended or Required Reading
1. Şanslı Şenol, “Tanımlayıcı İstatistik”, Nobel Yayın Dağıtım, ISBN 978-605-395-146-9 2. Fikret İkiz, Halis Püskülcü, Şaban Eren, “İstatistiğe Giriş” Barış Yayınları, İzmir 3. Amir D. Aczel, "Statistics, (Concepts and Applications)", McGraw-Hill Education ISBN 025611935X / 9780256119350 / 0-256-11935-X.
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures14228
Practice14228
Individual Study for Homework Problems41040
Individual Study for Mid term Examination13030
Individual Study for Final Examination14040
TOTAL WORKLOAD (hours)170
Contribution of Learning Outcomes to Programme Outcomes
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LO55   445  5  5     4 4   
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr