Nov 22, 2019   9:20 p.m.      Cecília        
University information system

Course syllabus BIAX20036 - Introduction into Statistics (FI - WS 2019/2020)


     Information sheet          


     Slovak          English          


University: Pan-european University
Faculty: Faculty of Informatics
Course unit code: BIAX20036
Course unit title: Introduction into Statistics
Planned learning activities and teaching methods:
workshop2 hours weekly / 24 hours per semester of study (on-site method)

Credits allocated: 3
Recommended semester/trimester: -- item not defined --
 
Level of study: -- item not defined --
Prerequisites for registration: none
 
Assessment methods:
Assessment during the semester: Two written tests during the semester. The maximum number of points is 40. Final Assessment: The exam consists of a written test consisting of both open and closed questions. The maximum number of points is 60.
Individual grades of the credit system are awarded on the basis of a point assessment that reflects the degree of completion of the subject as follows:
To obtain an A rating, it is necessary to obtain at least 94 points to obtain a B rating of at least 86 points, a C rating of at least 76 points, a D score of at least 66 points, and an E score of at least 56 points. Credits will not be awarded to a student who receives less than 50 percent of some of the written reviews.
 
Learning outcomes of the course unit:
The goal is to give students a comprehensive theoretical understanding of basic statistical methods and their practical application and interpretation of the results obtained. By completing the course students acquire skills in the field of the data evaluation and statistical methods supported by appropriate software.
 
Course contents:
The content of the course consists of:
1. graphical representation of statistical data, sorting data, histogram,
2. descriptive statistics (measures of central tendency and variability),
3. descriptive statistics (skewness and kurtosis characteristics),
4. basic principles of probability, principles of sampling,
5. probability distributions,
6. methods of statistical inference (point and interval estimation),
7. selected tests - tests on the mean value and variance,
8. proportion tests, outlier detection techniques,
9. goodness of fit between a theoretical distribution and an empirical distribution,
10. correlation analysis (Pearson and Spearman's rank correlation coefficient),
11. regression analysis, linear regression,
12. nonlinear regression - intrinsically linear, finding the best regression model.
 
Recommended or required reading:
Basic:
MARKECHOVÁ, D. -- TIRPÁKOVÁ, A. -- STEHLÍKOVÁ, B. Základy štatistiky pre pedagógov. Nitra: UKF, 2011. 405 p. ISBN 978-80-8094-899-3.
VRABEC, M. -- HANA ŘEZANKOVÁ, H. -- LUBOŠ MAREK, L. česká interaktívna učebnica štatistiky .  [online]. 2000. URL: http://badame.vse.cz/iastat/ .
LAVINE, M. Introduction to Statistical Thought.  [online]. 2013. URL: http://people.math.umass.edu/~lavine/Book/book.pdf.

 
Language of instruction: Slovak, English
 
Notes:
 
Courses evaluation:
Assessed students in total: 9

ABCDEFX
11,1 %11,1 %11,1 %22,2 %44,5 %0 %
 
Name of lecturer(s): prof. RNDr. Beáta Stehlíková, CSc. (person responsible for course)
Last modification: 11. 6. 2019
Supervisor: prof. RNDr. Beáta Stehlíková, CSc.


Last modification made by Ján Lukáš on 06/11/2019.

Type of output: