Statistics

Објавено: February 28, 2019

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. Rice Mathematical Statistics and Data Analysis Cengage Learning 2006

2

Ј. P. Marques de Sa Applied statistics  using SPSS, STATISTICA,  MATLAB and R Springer 2007

3

Douglas C. Montgomery, George C. Runger Applied Statistics and Probability for Engineers John Wiley & Sons 2003

Additional Literature

No.

Author

Title

Publisher

Year

1

Ruey S.Tsay An introduction to Analysis of Financial Data with R Wiley 2012

2

G.Jay Kerns Introduction to Probability and Statistics Using R Cran.r-project.org  ISBN: 978-0-557-24979-4 2011