          Description of Individual Course Units
 Course 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
Language of Instruction
Turkish
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 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
 Week Theoretical Practice Laboratory 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
 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 Activities Quantity Weight Midterm Examination 1 100 SUM 100 End Of Term (or Year) Learning Activities Quantity Weight Final Sınavı 1 100 SUM 100 Term (or Year) Learning Activities 40 End Of Term (or Year) Learning Activities 60 SUM 100
Work Placement(s)
None 