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PřF:MAS10c Applied statistics I - exerc. - Course Information

## MAS10c Applied statistics I - exercises

**Faculty of Science**

Autumn 2020

**Extent and Intensity**- 0/2/0. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Type of Completion: z (credit).
**Teacher(s)**- Mgr. Veronika Bendová (seminar tutor), doc. PaedDr. RNDr. Stanislav Katina, Ph.D. (deputy)
**Guaranteed by**- doc. PaedDr. RNDr. Stanislav Katina, Ph.D.

Department of Mathematics and Statistics - Departments - Faculty of Science

Supplier department: Department of Mathematics and Statistics - Departments - Faculty of Science **Timetable of Seminar Groups**- MAS10c/01: Tue 12:00–13:50 MP2,01014a,
*V. Bendová*

MAS10c/02: Tue 16:00–17:50 MP1,01014,*V. Bendová* **Prerequisites**(in Czech)- NOW (
**MAS01**Applied statistics I ) **Course Enrolment Limitations**- The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).

Current registration and enrolment status: enrolled:**21**/20, only registered:**3**/20 **fields of study / plans the course is directly associated with**- Anthropology (programme PřF, B-AN)
- Anthropology (programme PřF, N-AN)
- Anthropology (programme PřF, N-BI)
- Anthropology (programme PřF, N-BI, specialization Physical Antropology)
- Anthropology (programme PřF, N-BI, specialization Socio-Cultural Antropology)

**Course objectives**- Statistical evaluation of results is an essential part of many anthropological researches. In the exercises the principles of basic statistical methods will be explained using examples from common practice. Students will be able to recognize situations where individual statistical methods can be used in practice, and to choose the most appropriate method under specific circumstances. They will exercise their computational skills necessary for statistical testing of hypotheses and simplifying the data file. Students will also learn to perform these basic statistical tests in R software.
**Learning outcomes**- After completing this course:

- student is able to perform exploratory data analysis;

- student controls simpler methods of inductive statistics;

- student can interpret outputs from statistical software. **Syllabus**- 1) Introduction to software R
- 2) Descriptive statistics, absolute frequency, relative frequency, conditional relative frequency
- 3) Numerical characteristics: sample mean, variance, standard deviation, median, quantiles, skewness, kurtosis, correlation coefficients
- 4) Discrete random variables, alternative distribution, binomial distribution, Poisson distribution
- 5) Continuous random variables, normal distribution, two-dimensional normal distribution
- 6) Estimation of parameter mu, sigma and p, confidence intervals
- 7) Introduction to hypotheses testing, normality tests, two-dimensional normality test, test of symmetry
- 8) One sample tests: t-test, F-test, test of parameter p, test of correlation coefficient
- 9) Two sample tests: two sample t-test, F-test, proportion test, test of two correlation coefficients
- 10) Nonparametric tests: sign test, Wilcoxon rank test, Spearman's test
- 11) Testing in contingency tables: contingency table, Pearson's chi-squared test, Fisher exact test, odds ratio test

**Literature**- BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ.
*Průvodce základními statistickými metodami (Guide to basic statistical methods)*. vydání první. Praha: Grada Publishing, a.s., 2010. 272 pp. edice Expert. ISBN 978-80-247-3243-5. URL info

*recommended literature*- HENDL, Jan.
*Kvalitativní výzkum : základní teorie, metody a aplikace*. 3. vyd. Praha: Portál, 2012. 407 s. ISBN 9788026202196. info - BUDÍKOVÁ, Marie, Štěpán MIKOLÁŠ and Pavel OSECKÝ.
*Popisná statistika*. 4. vyd. Brno: Masarykova univerzita, 2007. 52 pp. ISBN 978-80-210-4246-9. info - BUDÍKOVÁ, Marie, Štěpán MIKOLÁŠ and Tomáš LERCH.
*Základní statistické metody*. Vydání první. Brno: Masarykova univerzita, 2005. 180 pp. ISBN 80-210-3886. info

*not specified*- BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ.
**Teaching methods**- Practicals, two hours per week. Learning from educational videos and on-line consultations using suitable software (decided by the teacher). Practicals can be held in person upon the decision of the teacher if the epidemiological situation and if the applicable restrictions are favourable.
**Assessment methods**- To gain credit for this course, it is compulsory each week to do and submit the solution of the homework. The student is forbidden to copy the solution of the homework from other students.
**Language of instruction**- Czech
**Further comments (probably available only in Czech)**- Study Materials

The course is taught annually.

General note: Předmět by si neměli zapisovat studenti matematických studijních oborů. **Listed among pre-requisites of other courses****MAS01**Applied statistics I

NOW(MAS01c) || NOW(MAS10c)

- Enrolment Statistics (recent)

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