| Course Unit Code | 151-0360/01 |
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| Number of ECTS Credits Allocated | 3 ECTS credits |
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| Type of Course Unit * | Choice-compulsory |
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| Level of Course Unit * | Second Cycle |
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| Year of Study * | Second Year |
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| Semester when the Course Unit is delivered | Winter Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| S1A20 | prof. RNDr. Dana Šalounová, Ph.D. |
| Summary |
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The aim of the subject is to acquaint students with tools of software R for analysis both numeric and non-numeric data. The choise of methods is oriented to data processing from marketing and sociological research needed for master's thesis. The subject is based on knowledge from the subject Statistika A and Statisitka B.
Used software: R. |
| Learning Outcomes of the Course Unit |
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| Students will be able to create and modify datasets in SPSS or Excel, analyse them, interpret and present outcomes. |
| Course Contents |
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1. Design of research - sample methods, research hypothesis, sample size.
2. Data collections, creating a data file and entering data in SPSS or R, describing data sets, missing data, modyfying a data file, transforming variables.
3. Descriptive statistics, exploratory analysis, tables, graphs.
4. Principle of table and graphs creating with respect to their presentation.
5. Hypothesis testing on probability distribution.
6. Tests of independence of nominal variables.
7. Tests of independence of continuous variable, correlation, regression.
8. Comparing groups, independent samples, paired samples.
9. One-sided dependence, logistic regression.
10. Output processing, pivoting tables, editing charts and graphs, exporting of outputs to another programs. |
| Recommended or Required Reading |
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| Required Reading: |
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NEWBOLD, Paul; CARLSON, William Lee a THORNE, Betty. Statistics for business and economics. 8th ed., global ed. Always learning. Harlow: Pearson Education, c2013. ISBN 978-0-273-76706-0.
MARTIN, Vance; HURN, Stan a HARRIS, David. Econometric modelling with time series: specification, estimation and testing. Themes in modern econometrics. New York: Cambridge University Press, 2013. ISBN 978-0-521-19660-4.
WOOLDRIDGE, Jeffrey M. Introductory econometrics: a modern approach. 4th ed. Mason: South-Western Cengage Learning, c2009. ISBN 978-0-324-66054-8.
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NEWBOLD, Paul; CARLSON, William Lee a THORNE, Betty. Statistics for business and economics. 8th ed., global ed. Always learning. Harlow: Pearson Education, c2013. ISBN 978-0-273-76706-0.
MARTIN, Vance; HURN, Stan a HARRIS, David. Econometric modelling with time series: specification, estimation and testing. Themes in modern econometrics. New York: Cambridge University Press, 2013. ISBN 978-0-521-19660-4.
WOOLDRIDGE, Jeffrey M. Introductory econometrics: a modern approach. 4th ed. Mason: South-Western Cengage Learning, c2009. ISBN 978-0-324-66054-8.
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| Recommended Reading: |
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Hodeghatta, Umesh R, and Nayak, Umesha. Business Analytics Using R - A Practical Approach. Apress, 2016.
GANDRUD, Christopher. Reproducible research with R and RStudio. Second edition. Chapman & Hall/CRC the R series. Boca Raton: CRC Press, Taylor & Francis Group, [2015]. ISBN 978-1-4987-1537-9.
XIE, Yihui. Dynamic documents with R and knitr. Second edition. Chapman & Hall/CRC the R series. Boca Raton: CRC Press, Taylor & Francis, [2016]. ISBN 978-1-4987-1696-3.
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GANDRUD, Christopher. Reproducible research with R and RStudio. Second edition. Chapman & Hall/CRC the R series. Boca Raton: CRC Press, Taylor & Francis Group, [2015]. ISBN 978-1-4987-1537-9.
XIE, Yihui. Dynamic documents with R and knitr. Second edition. Chapman & Hall/CRC the R series. Boca Raton: CRC Press, Taylor & Francis, [2016]. ISBN 978-1-4987-1696-3. |
| Planned learning activities and teaching methods |
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| Lectures, Tutorials, Other activities |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Exercises evaluation | Credit | 85 | 85 |