VŠTE:STA Statistics - Course Information

STA Statistics

Extent and Intensity

2/2/0. 5 credit(s). Type of Completion: zk (examination).

Teacher(s)

Mgr. Tomáš Náhlík, Ph.D. (seminar tutor)
RNDr. Ivo Opršal, Ph.D. (seminar tutor)
Ing. Josef Šedivý (seminar tutor)
Ing. Martin Telecký, Ph.D. (seminar tutor)

Guaranteed by

doc. RNDr. Jaroslav Stuchlý, CSc.
Department of Informatics and Natural Sciences – Faculty of Technology – Rector – Institute of Technology and Business in České Budějovice
Supplier department: Department of Informatics and Natural Sciences – Faculty of Technology – Rector – Institute of Technology and Business in České Budějovice

Timetable of Seminar Groups

STA/PX01: Mon 8:00–9:30 E1, M. Telecký
STA/PX02: Mon 16:30–18:00 E1, M. Telecký
STA/SX01: Thu 18:10–19:40 D316, J. Šedivý
STA/SX02: Tue 18:10–19:40 D216, J. Šedivý
STA/X01: Sun 7. 3. 16:30–18:00 D316, 18:10–19:40 D316, Sat 20. 3. 16:30–18:00 D316, 18:10–19:40 D316, Sun 11. 4. 8:00–9:30 D316, 9:40–11:10 D316, 11:25–12:55 D316, M. Telecký

Prerequisites

Knowledge of INF_1 course content is an advantage.

Course Enrolment Limitations

The course is offered to students of any study field.

Course objectives supported by learning outcomes

The aim of the course is to introduce the students with basic procedures in the field of statictical induction, methods of analysis of qualitative and quantitative features and with time series analysis elements.

Learning outcomes

After the successful completion of the course, the student masters the basic procedures in the field of statistical induction, methods of analysis of qualitative and quantitative features and with time series analysis elements. The student is able to collect, process and present statistical data.

Syllabus

• 1. Methods of descriptive statistics (basic statistical concepts, statistical investigation phase, frequency distribution table, interval frequency distribution, two-dimensional frequency distribution tables, statistical graphs). 2. Basic statistical parameters and indices (arithmetic mean and median, variance and standard deviation, coefficient of variation, percentiles, the characteristics of the aggregated data, simple and composite indices, price indices). 3.Probability and probability summary and their numerical characteristics (random events and their probabilities, properties of probabilities, independent and conditioned random events and their probability and summary and compound probability, random variable and its probability distribution, mean value and dispersion). 4. Basic probability models (binomial distribution, Poisson and normal, their mean and variance, standard random variable, standard ordinary summary, tables, distribution and quantile functions and their tables). 5. Surveys, a division of selection characteristics and basics of statistical induction (basic and selection file, the importance and types of sample surveys, sample distributions, central limit theorem, characteristics of the sample distribution, selective distribution of diameter and the ratio, point and interval estimates of population mean and the ratio and variance, determination of sample size). 6. Testing of statistical hypotheses (null and alternative hypothesis, significance level test and its determination, identification of the refusal, the critical value test, the test criterion, the choice between two hypotheses, hypothesis about the test of mean, ratio and variance, p-value of the test). 7. Two-Sample tests (test of the hypothesis about compliance of two averages, variances of two shares, testing in small choice files). 8. Further tests and analysis of variance (compliance tests, testing of independence in contingency table, single-factor analysis of variance, the degree of power dependence). 9. Simple linear regression and correlation (causal and non-causal dependence, covariance and correlation, scatter plot, the method of least squares, regression line, correlation coefficient, other types of regression functions). 10. Statistical induction in the regression model (population and sample regression function, estimates of regression coefficients and their properties, the standard errors of regression parameters and their confidence intervals, tests in regression analysis). 11. Multivariate regression and prognostic application of regression (multivariate regression model, the partial regression coefficients and their interpretation, the coefficient of determination, significance tests of the model using regression to predict 12.-13. Introduction to the series (time series and its graph, continuous time series and interval time series, characteristic of time series, trend functions, balancing time series by moving averages).

Literature

required literature
• Hindls,R. a kol.: Statistika pro ekonomy. Praha, Professional Publishing 2006, ISBN 80-86946-16-9
• MAREK, L. a kol. Statistika v příkladech. Praha: Profesional Publishing 2013. ISBN 978-80-7431-218-5
• STUCHLÝ, Jaroslav. Statistické analýzy dat : vysokoškolská učebnice. 1. vyd. České Budějovice: Vysoká škola technická a ekonomická v Českých Budějovicích, 2015, 220 pp. ISBN 978-80-7468-087-8. info

recommended literature
• STUCHLÝ, J.: Statistika. Studijní opora pro kombinované studium. VŠTE České Bu-dějovice, 2011 (v elektronické podobě)
• Stuchlý,J.: Statistika I. Skripta FM VŠE Praha 1999. ISBN 80-7079-754-1 (i v elektronické podobě)
• Arltová, M., Bílková, D., Čenčík, P., Jarošová, E., Pecáková, I., Pourová, Z.: Základy statistiky v příkladech. Tribun EU, 192 str., 2014. ISBN 978-80-263-0756-3
• Stuchlý,J.: Statistika II. Skripta FM VŠE Praha 1999. ISBN 80-7079-035-0 (i v elektronické podobě)
• Jarošová,E-Pecáková,I.: Příklady k předmětu statistika B. Skripta VŠE, Praha 2000. ISBN 80-245-0015-9
• Stuchlý,J.: Statistické metody pro manažerské rozhodování 2004, kap. II, str. 34-50 (neparametrické testy), FM VŠE v Praze, ISBN 80-245-0153-8 (i v elektronické po-době)
• HEBÁK, Petr, Diana BÍLKOVÁ a Alžběta SVOBODOVÁ. Praktikum k výuce matematické statistiky II: testování hypotéz. Vyd. 3. V Praze: Oeconomica, 2009, 280 s. ISBN 978-80-245-1574-8.
• Seger,J.-Hindls,R.: Statistické metody v tržním hospodářství Vicoria Publishing Praha 1995. ISBN 80-7187-058-7
• Řezanková,H.-Löster,T.: Úvod do statistiky. VŠE v Praze, Nakladatelství Oeconomi-ca, ISBN 978-80-245-1514-4
• SVATOŠOVÁ, L.-PRÁŠILOVÁ, M. Statistické metody v příkladech. Skriptum Pro-vozně ekonomické fakulty ČZU, Praha 2009, ISBN 978-80-213-1673-7
• Marek L., Jarošová E., Pecáková I., Pourová Z., Vrabec M. (2005): Statistika pro ekonomy – aplikace, Professional Publishing, Praha. ISBN 80-86419-68-1
• MAREK, Luboš. Statistika v příkladech. 1. vyd. Praha: Professional Publishing, 2013, 403 s. ISBN 978-80-7431-118-5.
• Arltová,M.-Bílková,D.-Jarošová,E.-Pourová,Z.: Příklady k předmětu Statistika A. Skripta VŠE, Praha 2001. ISBN 80-245-0178-3

not specified
• Montgomery, D. C., Runger, G. C.: Applied Statistics and Probability for Engineers, John Wiley & Sons Inc, 2003, ISBN 978-0471204541
• Kerns, G. J.: Introduction to Probability and Statistics Using R, 2010, ISBN 978-0-557-24979-4 (available online)

Forms of Teaching

Lecture
Seminar
Exercise
Laboratory Exercise
Excursion - language
Tutorial
Consultation

Teaching Methods

Frontal Teaching
Group Teaching - Cooperation
Group Teaching - Collaboration
Project Teaching
Brainstorming
Critical Thinking
Individual Work– Individual or Individualized Activity
Teaching Supported by Multimedia Technologies
Exercise on computers using Excel and the R system
Lectures in Power-Point using hyperlinks
Elaboration of compulsory and voluntary exercises

Student Workload

Activities	Number of Hours of Study Workload
	Daily Study	Combined Study
Preparation for the Mid-term Test	24	24
Preparation for Seminars, Exercises, Tutorial	26	68
Preparation for the Final Test	15	15
Elaboration of compulsory and voluntary exercises	13	13
Attendance on Lectures	26
Attendance on Seminars/Exercises/Tutorial/Excursion	26	10
Total:	130	130

Assessment Methods and Assesment Rate

Test – mid-term 30 %
Test – final 70 %

Exam conditions

Grading of the course: First Test: maximum 30% (0-30 points), Final Test: maximum 70% (0-70 points). Successful graduates of the course have to get totally at least 70 points: A 100 – 90, B 89,99 – 84, C 83,99 – 77, D 76,99 – 73, E 72,99 – 70, FX 69,99 – 30, F 29,99 - 0.

Language of instruction

Czech

Follow-Up Courses

• MAV Marketing Research

Further comments (probably available only in Czech)

The course is taught each semester.

Teacher's information

Attendance in lessons is defined in a separate internal standard of ITB (Evidence of attendance of students at ITB). It is compulsory, except of the lectures, for full-time students to attend 70 % lesson of the subjet in a semester.

• Enrolment Statistics (recent)
  
• Permalink: https://is.vstecb.cz/course/vste/summer2021/STA