          Description of Individual Course Units
 Course Unit Code Course Unit Title Type of Course Unit Year of Study Semester Number of ECTS Credits 1001002092014 STATISTICS Compulsory 2 3 3
Level of Course Unit
First Cycle
Language of Instruction
Turkish
Objectives of the Course
The aim of this course is based on Water Products data collection, processing, evaluation, interpretation and statistical reasoning and the ability to develop talent.
Name of Lecturer(s)
Assoc.Prof.Dr. Hülya SAYGI, Prof.Dr. Hasan M. SARI, Prof.Dr. Zafer TOSUNOĞLU
Learning Outcomes
 1 Statistical data, summarizing and classifying the tools and methodsput forward. 2 Apply a statistical approach to the process of knowledge creation. 3 Define the basic concepts of statistics. 4 Statistically as well as studies related to fisheries and to put the thesis.
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Statistical definition, the origin of present-day importance, numbers, statistical terms, the meaning, frequency distribution, averages, measures of dispersion, ratio, percentage, index, statistical analysis, prices, probability, sampling theory and distributions,hypothesis testing, the significance test of the difference between two means, two significance of paired test, ANOVA, Chi-square test, regression and correlation analysis, time series analysis, research data collection methods, sampling methods, some statistical measures and analysis of water used in the products.
Weekly Detailed Course Contents
 Week Theoretical Practice Laboratory 1 Statistical definition, the origin of present-day importance, numbers, statistical terms, the meaning, On the subject of problem solving 2 Frequency distribution, Graphics, Drawings and Graphics, On the subject of problem solving 3 Measures of central tendency (Arithmetic Mean-GeometricMean-Harmonic Mean-Squared Mean), Median, Mode, On the subject of problem solving 4 Variety (Change Range-Mean-Variance-Deviation-Standard Deviation Coefficient of Variation-quartile deviation) On the subject of problem solving 5 Variety (Change Range-Mean-Variance-Deviation-Standard Deviation Coefficient of Variation-quartile deviation) On the subject of problem solving 6 Ration, percentage, index, statistical analysis of prices On the subject of problem solving 7 Contingency Accounts (Classical Definition of Probability Expected Value-Addition and Multiplication-Rule-Bayes' Rule), Theory (Binomial, Poisson and Normal Distribution) and Sampling (t, F and Chi-square) distributions On the subject of problem solving 8 MID-TERM EXAM 9 Hypothesis tests Problem-solving and student presentations on the subject 10 Significance test of difference between two means, the significancetest between two paired Problem-solving and student presentations on the subject 11 Analysis of Variance, Chi-square test, Problem-solving and student presentations on the subject 12 Regression and correlation analysis, Problem-solving and student presentations on the subject 13 Time series analysis, Problem-solving and student presentations on the subject 14 Research data collection methods, sampling methods, Problem-solving and student presentations on the subject 15 Some statistical measures and analysis of water used in the products. Problem-solving and student presentations on the subject 16 Final exam
Elbek, A.G., Oktay, E., Saygı, H., 2010, Su ürünlerinde Temel İstatistik (6. Baskı), E.Ü. Su Ürünleri Fakültesi Yayınları No: 19, Ders Kitabı Dizin No: 6, ISBN 975-483-325-7, Bornova-İZMİR.
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
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 