
Description of Individual Course UnitsCourse Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  ZZO101  BASIC STATISTICS  Compulsory  1  1  3 
 Level of Course Unit  First Cycle  Objectives of the Course  Aims are teaching the concept of statistics, how to present the data, probability and distributions to the students; to introduce the scientific decision by statistical approach; to teach how to analyse the data from the experiments and how to inference the analyzing results.  Name of Lecturer(s)  Prof. Dr. Hülya Atıl  Learning Outcomes  1  The ability to provide a statistical perspective  2  The ability to set and test hypotheses  3  The ability to plan an experiment  4  The ability to apply basic statistical methods in agriculture 
 Mode of Delivery  Face to Face  Prerequisites and corequisities  None  Recommended Optional Programme Components  None  Course Contents  Introduction to statistics, fundamental statistical terms; pesenting and summarizing data; dscriptive statistics; probability and probability distributions (binomial, poisson and normal); statistical inference, hypothesis testing; relationships among variables (regression and correlation analysis); the analysis of countable data.  Weekly Detailed Course Contents  
1  Introduction to statistics; Fundamental statistical terms; Presenting and summarizing data (frequency table)    2  Descriptive statistics    3  Theory of probability    4  Random variables and probability distributions    5  Discrete probability distributions (binomial and poisson distributions)    6  Continuous probability distribution (Normal distribution)    7  Statistical inference, point and interval estimation for population mean, population ratio and population variance    8  Midterm exam    9  Hypothesis tests, I. and II. type error, power of test    10  Large sample tests (z test), tests for population mean and comparing two population means    11  Small sample tests (t test)    12  Tests for comparing two population means from independent samples, comparing two population means from paired samples    13  Tests for population variance (F test), comparing two population variances (khikare testi)    14  Relationships among variables (regression and correlation analysis)    15  Anaysis of countable data (khikare analysis)    16  Final exam   
 Recommended or Required Reading  1.Püskülcü, H., İkiz, F., Eren, Ş. 2006. İstatistiğe Giriş. Barış Yayınları, Fakülteler Kitabevi, İzmir.
2.Atıl, H. 1998, İstatistik. E.Ü. Ziraat Fakültesi Yayınları, No.531, Bornova, İzmir.
3.Draper, N.R. and Smith, H. 1966. Applied Regression Analysis. J. Wiley and Sons. Inc., New York.
4.Mead, R., and Curnow, R.N., 1983. Statistical Methods in Agriculture and Experimental Biology. Chapman Hall, London.
5.Steel, R.G.D., and Torrie, J.H. 1960. Principles and Procedures of Statistics. Mc Graw Hill, New York.
6.Ott, Lyman, 1988. An introduction to statistical methods and data analysis. PWSKent Publishing Company, Boston.
 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  
Midterm Examination  1  100  SUM  100  
Final Examination  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  2  2  Final Examination  1  2  2  Attending Lectures  14  2  28  Individual Study for Mid term Examination  1  20  20  Individual Study for Final Examination  1  30  30  
Contribution of Learning Outcomes to Programme Outcomes   * 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 
