Statistics

Објавено: February 28, 2019

Statistics

Course: Statistics

Code: 3ФЕИТ08029

ECTS points: 6 ЕКТС

Number of classes per week: 3+0+0+3

Lecturer: Prof. Dr. Katerina Hadji – Velkova Saneva

Course Goals (acquired competencies): Acquiring knowledge about the basic and commonly used statistical methods and models. Ability to collect data, select appropriate statistical techniques, use software for visualization, analysis and statistical data processing, as well as to draw conclusions and present the obtained results from statistical analysis.

Course Syllabus: Introduction to statistics. Population and sample. Descriptive statistics. Visual representation of data. Point estimates of the unknown parameters. Criteria for quality of estimators. Methods for point estimation. Confidence intervals. Testing of parametric hypotheses. Level of significance and strength of the test. Nonparametric statistical tests. Using software for statistical data processing.

Literature:

Required Literature

No.

Author

Title

Publisher

Year

1

John A. RiceMathematical Statistics and Data AnalysisCengage Learning2006

2

Ј. P. Marques de SaApplied statistics  using SPSS, STATISTICA,  MATLAB and RSpringer2007

3

Douglas C. Montgomery, George C. RungerApplied Statistics and Probability for EngineersJohn Wiley & Sons2003

Additional Literature

No.

Author

Title

Publisher

Year

1

Ruey S.TsayAn introduction to Analysis of Financial Data with RWiley2012

2

G.Jay KernsIntroduction to Probability and Statistics Using RCran.r-project.org  ISBN: 978-0-557-24979-42011