Course syllabus E15-0162-B - Statistics I A (FEM - WS 2020/2021)

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University: Slovak University of Agriculture in Nitra
Faculty: Faculty of Economics and Management
Course unit code:
E15-0162-B
Course unit title:
Statistics I A
Planned types, learning activities and teaching methods:
lecture
3 hours weekly / 39 hours per semester of study (on-site method)
seminar
1 hour weekly / 13 hours per semester of study (on-site method)

Credits:
4
Semester:
Accounting - bachelor (required), 3. semester
Accounting - bachelor (required), 3. semester
Business Economics - bachelor (required), 3. semester
Business Economics - bachelor (required), 3. semester
Business Management - bachelor (required), 3. semester
Business Management - bachelor (required), 3. semester
Environmental Economics and Management - bachelor (required), 3. semester
Informatics Applications in the Business Economics and Management - bachelor (required), 3. semester
Informatics Applications in the Business Economics and Management - bachelor (required), 3. semester
International Business with Agrarian Commodities - bachelor (required), 3. semester
International Business with Agrarian Commodities - bachelor (required), 3. semester
International Business with Agrarian Commodities - bachelor (required), 3. semester
Regional Development and Policies of the EU - bachelor (required), 1. semester
Trade Entrepreneurship - bachelor (required), 3. semester
Trade Entrepreneurship - bachelor (required), 3. semester
Level of study: 1.
Prerequisites for registration:
none
Assesment methods :
During the semester there will be one practical written tests - 40 points/test, students develop Semestral Project - 10 points, the final theoretical written test - 50 points.

Overall evaluation: A> 93 points B 92-86 points C 85-79 points 78-72 points D, E 71-64 points.

Credits will be awarded to students whose evaluation of written tests, project and theoretical test will be more than 50% of the scoring.
Learning outcomes of the course unit:
Student will understand basic statistical methods in order to be able of their appropriate application. Student will be able to complete primary resp. secondary data from various socio-economic areas, to analyze data using statistical methods and to interpret results. After the course completion students will be able to perform basic statistical analyses using standard software tools and statistical software Stata.
Course contents:
- Introduction to Statistics, basic terms, types of statistical investigation
- Working with databases,
- Statistical data sorting, sorting based on quantitative data,
- Data sorting on the base of qualitative data, association analysis,
- Descriptive characteristics, measures of location,
- Characteristics of variability, skewness, kurtosis,
- Statistical inference, types of samples,
- Point estmation of parameters,
- Interval estimation of parameters
- Hyphotesis testing, tests about mean,
- Case studies,
- tests about variance,test about relative frequences,
- data processing,
- semestral project

Recommended or required reading:
Basic:
MATEJKOVÁ, E. -- PIETRIKOVÁ, M. -- POLÁKOVÁ, Z. Praktikum zo Štatistiky A. 1st ed. Nitra : Slovenská poľnohospodárska univerzita, 2013. 199 p. ISBN 978-80-552-1050-6.

Recommended:
Matejková, E., Pietriková, M., Poláková, Z.: Praktikum zo Štatististiky A pre FEŠRR. Vydala SPU v Nitre, 2016. ISBN 978-80-552-1457-3.
Pacáková, V. a kol. : Štatistické metódy pre ekonómov, Iura Edition, 2009 .
Seger, J.: Statistické metody v tržním hospodářství. Praha, Victoria Publishing, 1995

Language of instruction: Slovak, English
Notes:
Evaluation of course unit:
Assessed students in total: 1929

A
B
C
DEFX
6,7 %
7,6 %
21,0 %
32,3 %
30,0 %
2,4 %
Name of lecturer(s):
Ing. Eva Matejková, PhD. (examiner, instructor, lecturer)
Ing. Jozef Palkovič, PhD. (examiner, instructor, lecturer)
Ing. Miriam Pietriková, PhD. (examiner, instructor, lecturer)
doc. Ing. Zuzana Poláková, PhD. (examiner, instructor, lecturer)
Ing. Eva Richterová, PhD. (examiner, instructor, lecturer)
prof. Ing. Zlata Sojková, CSc. (examiner, instructor, lecturer, person responsible for course)
Last modification:
22. 10. 2019
Supervisor:
prof. Ing. Zlata Sojková, CSc. and programme supervisor


Last modification made by Iveta Kunová on 10/22/2019.

Type of output: