Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
502002292017STATISTICS ICompulsory235
Level of Course Unit
First Cycle
Objectives of the Course
Introducing the methods for data collecting and descriptive statistics, teaching the planning end evaluating of the experimental studies, teaching the statistics methods by giving practical cases.
Name of Lecturer(s)
Assoc.Prof.Dr.Gonca ÖZÇELİK KAYSERİ
Learning Outcomes
1Ability to make statistical comments on problems
2Understanding the data collecting methods
3Ability to summarize the data as graphics, tables or numerical
4Ability to predict the mean value of the population and the mean difference of the populations by using small and big sized samples
5Ability to draw a conclusion about the mean value of population and mean difference of populations by using small and big sized samples
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Basic statistic terms, summarizing the data in tables and graphics, descriptive statistic, probability theory, probability distribution of categorical data, binomial distribution, poisson distribution , probability distribution of continuous variables, normal distribution, central limit theory, sampling distribution, statistical prediction
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Basic statistic terms and definitions
2Summarizing data in tables and graphics
3Descriptive statistics
4Descriptive statistics by coding methods
5Probability, random variables
6Binomial distribution
7Midterm exam
8Poisson distribution
9Normal distribution
10Normal distribution
11Normal probability distribution of discontinuous variables
12Sampling distribution
13Prediction of the mean value of population
14Prediction of the mean difference of two populations
Recommended or Required Reading
 Freund E.,Simon A., “Modern Elemantary Statistics”, PrenticeHall International Editions, 9. Edition, 1997  Practical Statistics for The Textile Industry, The Textile Institute Manual of Textile Technology Part, 1984  Practical Statistics for The Textile Industry, The Textile Institute Manual of Textile Technology Part 2, 1987  Mario Bona, Statistical Methods for The Textile Industry,  İkiz, F.,Püskülcü, H., ve Eren, Ş. İstatistiğe Giriş, 2000  Akdeniz F., Olasılık ve İstatistik, Nobel Kitapevi, 2004  Şanslı Baskan, Uygulamalı İstatistik, Ege Üniversitesi Fen Fakültesi Yayınları, 1993  Mendenhall W., Introduction to Linear Models and The Design and Analysis of Experiments
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Sınavı1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination12020
Final Examination13030
Attending Lectures14228
Problem Solving14228
Individual Study for Homework Problems22040
TOTAL WORKLOAD (hours)146
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
PO
10
PO
11
PO
12
PO
13
LO155  54    33 
LO245  53       
LO344  53       
LO434  53       
LO545  54       
* 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