Course syllabus STEK - Statistics for Economists (ŠAVŠ - Sklad předmětů)

     Czech          English          

Course title: Statistics for Economists
Semester: -- item not defined --
Course supervisor: doc. Ing. Eva Jarošová, CSc.
Supervising department: Department of Informatics and Quantitative Methods (ŠAVŠ)
Prerequisites for registration: not Bachelor state examination
Time allowance: full-time, 1/2 (hours of lectures per week / hours of seminars per week)
part-time, 0/12 (lectures per period / seminars per period)
Type of study: usual
Form of teaching: lecture, seminar
Mode of completion and credits: Exam (4 credits)
Course objective:
The aim is to acquaint students with elementary methods of relationship analysis, with time series modelling and analysis and with basic types of indexes used for comparison of economic indicators.
 
Course methods: One lecture in two weeks, seminars weekly. Calculators are used at seminars, Statgraphics or Excel during elaborating projects. Projects refer to regression and time series analysis. Points will be assigned only to those who will take an active part in the presentation.
 
Course content:
1.Conditional averages, regression line - description (allowance 0/2)
2.Regression line - inference. (allowance 0/2)
3.Second-order polynomial regression. Multiple regression. (allowance 0/2)
4.Coefficient of correlation. Multicollinearity. (allowance 0/2)
5.Presentation of semestral work - regression analysis. (allowance 0/2)
6.1. midterm test.
Analysis of variance.
(allowance 0/2)
7.Contingency tables. (allowance 0/2)
8.Time series I. (allowance 0/2)
9.Time series II. (allowance 0/2)
10.Presentation of semestral works - time series. (allowance 0/2)
11.2. midterm test.
Indices I.
(allowance 0/2)
12.Indices II. (allowance 0/2)
 
Learning outcomes and competences:
After completing the course, student will be able to:
 
-Will be able to apply analysis of variance to assess the significance of differences between groups of results
-Will be able to assess the existence of the relationship between two categorical variables and measure its strength
-Will be able to compare values of economic indicators in different times
-Will be able to describe the time series development by means of elementary characteristics, apply the classical decomposition of a time series and use the model for prediction
-Will be able to measure the strength of the linear relationship by means of correlation coefficients, construct and apply a regression model and interpret the respective output

Teaching methods and workload (hours of workload):
Type of teaching methodDaily attendanceCombined form
Direct teaching
     Attendance of courses/seminars/tutorials24 h12 h
     Consultations with teacher (part-time form of study)0 h2 h
Self-study
     Course reading and ongoing preparation12 h0 h
     Ongoing evaluation12 h24 h
     Composing of individual (seminar) work28 h38 h
     Preparation for final test18 h18 h
     Preparation for final oral exam18 h18 h
Total112 h112 h
 
Assessment methods:
Requirement typeDaily attendanceCombined form
Term paper0 %20 %
Presentation20 %0 %
Mid-term test(s)30 %30 %
Final test40 %40 %
Final oral exam10 %10 %
Total100 %100 %
 
Course completion:
Evaluation: Course grade will be determined on the basis of the following:
mid-term evaluation 50 points, final exam 50 points. Mid-term evaluation involves class presentation (2x10 points) and two continuous tests (2x15 points), at least 30 points must be reached in the term. The final exam consists of a test (examples and theoretical questions - 40 points) and an oral exam (10 points). Students must achieve 25 points at the minimum at the final exam.

Grades:
100-90 - excellent
89 -75 - very good
74 -60 - good
less then 60 - failed
 
Support for combined/distance forms of study:
Study support guide for part-time mode of study is available in the AIS.
Examples from exercises with solution are available in the AIS.
Course work will be processed in the Word, an oral comment may be required. Calculations and charts can be done in Excel, but the use of the trial version of Statgraphicsu is recommended. It can be downloaded from http://www.statgraphics.com/download_trial
 
Reading list:
Basic:
Language of instruction: Czech
HINDLS, R. -- ARLTOVÁ, M. -- HRONOVÁ, S. -- MALÁ, I. -- MAREK, L. -- PECÁKOVÁ, I. -- ŘEZANKOVÁ, H. Statistika v ekonomii. 1st ed. Professional Publishing, 2018. 395 p. ISBN 978-80-88260-09-7.
HINDLS, R. -- SEGER, J. -- FISCHER, J. -- HRONOVÁ, S. Statistika pro ekonomy. 8th ed. Praha: Professional Publishing, 2007. 415 p. ISBN 978-80-86946-43-6.
MAREK, L. Statistika v příkladech. 1st ed. Praha: Professional Publishing, 2013. ISBN 978-80-7431-118-5.
HINDLS, R. -- SEGER, J. -- HRONOVÁ, S. Statistika pro ekonomy. 1st ed. Praha: Professional Publishing, 2002. 420 p. ISBN 80-86419-26-6.
HINDLS, R. -- KOLEKTIV. Metody statistické analýzy pro ekonomy. 2nd ed. Praha: Management Press, 2000. 259 p. ISBN 80-7261-013-9.
Language of instruction: English
WONNACOTT, R. -- WONNACOTT, T. Introductory Statistics for Business and Economics. 4th ed. USA: John Wiley and Sons, 1990. 815 p. ISBN 978-0-471-61517-0.
WONNACOTT, R. -- WONNACOTT, T. Introductory Statistics for Business and Economics.: Student Workbook. 4th ed. USA: John Wiley and Sons, 1990. 305 p. ISBN 0-471-50899-3.

Recommended:
Language of instruction: Czech
SALAČ, P. Statistika pro ekonomy. 1st ed. Mladá Boleslav: Škoda Auto Vysoká škola, 2007. 43 p. ISBN 978-80-87042-06-9.
MAREK, L. Statistika pro ekonomy.: Aplikace. + DVD se SAS software a příklady z knihy. 2nd ed. Praha: Professional Publishing, 2007. ISBN 978-80-86946-40-5.
HENDL, J. Přehled statistických metod.: Analýza a metaanalýza dat. 3rd ed. Praha: Portál, 2009. ISBN 978-80-7367-482-3.
HENDL, J. Statistika v aplikacích. 1st ed. Praha: Portál, 2014. 455 p. ISBN 978-80-262-0700-9.
ŘEZANKOVÁ, H. Analýza dat z dotazníkových šetření.: Druhé vydání. 2nd ed. Praha: Professional Publishing, 2010. ISBN 978-80-7431-019-5.
PECÁKOVÁ, I. Statistika v terénních průzkumech. 1st ed. Praha: Professional Publishing, 2008. ISBN 978-80-86946-74-0.
WONNACOTT, R. -- WONNACOTT, T. Introductory Statistics for Business and Economics.: Student Workbook. 4th ed. USA: John Wiley and Sons, 1990. 305 p. ISBN 0-471-50899-3.
WONNACOTT, R. -- WONNACOTT, T. Introductory Statistics for Business and Economics. 4th ed. USA: John Wiley and Sons, 1990. 815 p. ISBN 978-0-471-61517-0.

Study plans:
B-EM-EOE Business Administration and Sales, full-time form, initial academic year WS 2012/2013
B-EM-FME Business Administration and Financial Management, full-time form, initial academic year WS 2012/2013
B-EM-BAL Business Administration and Operations, Logistics and Quality Management, full-time form, initial academic year WS 2013/2014
B-EM-BAL Business Administration and Operations, Logistics and Quality Management, part-time form, initial academic year WS 2013/2014
B-EM-EOE Business Administration and Sales, full-time form, initial academic year WS 2016/2017
B-EM-FME Business Administration and Financial Management, full-time form, initial academic year WS 2016/2017
B-EM-FAM Business Administration and Financial Management, full-time form, initial academic year WS 2018/2019
B-EM-FAM Business Administration and Financial Management, part-time form, initial academic year WS 2018/2019
B-EM-FME Business Administration and Financial Management, full-time form, initial academic year WS 2018/2019
B-EM-FAM Business Administration and Financial Management, full-time form, initial academic year WS 2018/2019
B-EM-BAL Business Administration and Operations, Logistics and Quality Management, part-time form, initial academic year WS 2018/2019
B-EM-BAS Business Administration and Sales, part-time form, initial academic year WS 2018/2019
B-EM-BAL Business Administration and Operations, Logistics and Quality Management, full-time form, initial academic year WS 2018/2019
B-EM-EOE Business Administration and Sales, full-time form, initial academic year WS 2018/2019
B-EM-BAS Business Administration and Sales, full-time form, initial academic year WS 2018/2019
B-PM Průmyslový management, full-time form, initial academic year WS 2018/2019
B-PEMI Podniková ekonomika a manažerská informatika, full-time form, initial academic year WS 2018/2019
B-FRE Business Administration - Major in Financial Management, full-time form, initial academic year WS 2019/2020
Track BMO Marketing and Sales Management part-time form, initial academic year WS 2019/2020
Track BLMK Logistics and Quality Management part-time form, initial academic year WS 2019/2020
Track BFR Financial Management full-time form, initial academic year WS 2019/2020
Track BMO Marketing and Sales Management full-time form, initial academic year WS 2019/2020
B-LMK Business Administration - Major in Logistics and Quality Management, part-time form, initial academic year WS 2019/2020
Track BFR Financial Management full-time form, initial academic year WS 2019/2020
B-FR Business Administration - Major in Financial Management, full-time form, initial academic year WS 2019/2020
Track MBOE Marketing and Sales Management full-time form, initial academic year WS 2019/2020
Track BLMKE Logistics and Quality Management full-time form, initial academic year WS 2019/2020
Track BFRE Financial Management full-time form, initial academic year WS 2019/2020
B-MOE Business Administration - Major in Marketing and Sales Management, full-time form, initial academic year WS 2019/2020
B-LMKE Business Administration - Major in Logistics and Quality Management, full-time form, initial academic year WS 2019/2020
Track BFR Financial Management part-time form, initial academic year WS 2019/2020
Track BLMK Logistics and Quality Management full-time form, initial academic year WS 2019/2020
B-MO Business Administration - Major in Marketing and Sales Management, part-time form, initial academic year WS 2019/2020
B-FR Business Administration - Major in Financial Management, part-time form, initial academic year WS 2019/2020
B-MO Business Administration - Major in Marketing and Sales Management, full-time form, initial academic year WS 2019/2020
B-FR Business Administration - Major in Financial Management, full-time form, initial academic year WS 2019/2020
B-PM Průmyslový management, full-time form, initial academic year WS 2019/2020
B-PEMI Podniková ekonomika a manažerská informatika, full-time form, initial academic year WS 2019/2020
B-LMK Business Administration - Major in Logistics and Quality Management, full-time form, initial academic year WS 2019/2020
 
Run in the period of: SS 2018/2019, WS 2018/2019, SS 2017/2018, WS 2017/2018, SS 2016/2017, WS 2016/2017   (and older)
Course tutor: doc. Ing. Eva Jarošová, CSc. (examiner, instructor, lecturer, supervisor)
Mgr. Petr Kasal (examiner, instructor)
Mgr. Radka Picková, Ph.D. (examiner, instructor)
Teaching language: Czech, English
Room: Mladá Boleslav


Last modification made by doc. Ing. Eva Jarošová, CSc. on 02/28/2019.

Type of output: