Specification of the course for the Book of courses

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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
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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
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