
Description of Individual Course UnitsCourse Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  502002292017  STATISTICS I  Compulsory  2  3  5 
 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  1  Ability to make statistical comments on problems  2  Understanding the data collecting methods  3  Ability to summarize the data as graphics, tables or numerical  4  Ability to predict the mean value of the population and the mean difference of the populations by using small and big sized samples  5  Ability 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 corequisities  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  
1  Basic statistic terms and definitions    2  Summarizing data in tables and graphics    3  Descriptive statistics    4  Descriptive statistics by coding methods    5  Probability, random variables    6  Binomial distribution    7  Midterm exam    8  Poisson distribution    9  Normal distribution    10  Normal distribution    11  Normal probability distribution of discontinuous variables    12  Sampling distribution    13  Prediction of the mean value of population    14  Prediction 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  
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 

Midterm Examination  1  20  20  Final Examination  1  30  30  Attending Lectures  14  2  28  Problem Solving  14  2  28  Individual Study for Homework Problems  2  20  40  
Contribution of Learning Outcomes to Programme Outcomes  LO1  5  5    5  4      3  3   LO2  4  5    5  3         LO3  4  4    5  3         LO4  3  4    5  3         LO5  4  5    5  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 • email: intrec@mail.ege.edu.tr 
