Specification of the course for the Book of courses Study program Title of the course Teachers (for lectures) Teacher/fellow teacher (for exercises) ESPB Applied statistics Theory of estimation and detection Dora Seleši, Dragić Banković Zoranka Desnica, Marko Obradović Status of the course (obligatory (O) /elective (E)) 6 O Conditions Aim of the course The aim of this course is to introduce estimation of parameters as one of the basic statistical analysis and introduction to statistical hypothesis testing. Course outcomes Students will be able to prepare a descriptive indicators and to graphically display data. Students will be able to perform point and interval estimations. Students will understand and know the theory of estimation to assess the quality or derived estimations. They will master methods for the estimation of parameters in simple models. Students will be able to perform simple statistical hypothesis testing, and will understand the concept of power of statistical tests. Content of the course Theoretical classes Descriptive statistics. Graphic representation of sorted data. Theory of rating. Point and interval ratings. The properties of point and interval assessment. Performing of testing. Testing of hypothesis. Null and alternative hypotheses. Errors of first and second type. The power of the test. Practical classes Practical instructions follows the course content. Work in statistical software. References 1 2 Casella, G. e Berger, R. L. (2002). Statistical Inference. (2nd ed). Duxbury Press. D.Moore McCabe G: Introduction to the Practice of Statistics, 4th Edition, W. H. Freeman; 4th edition, 2002 3 Hadzic, Olga: Numerical and statistical methods in processing experimental data, I. Novi Sad, Institute of Mathematics, 1992 4 Buntinas, Martin: Statistics for the Sciences, Belmont: Thomson Brooks/Cole, 2005 The number of contact hours per week during the semester / trimester / year Lectures Exercises DON Research work Other classes 2 Teaching methods 2 ---- ------ ------ lectures, exercises, analysis of examples with applications Evaluation of knowledge (maximum score 100) Pre exam duties points activity during lectures 10 colloquia 50 Final exam Oral exam points 40