AEB_105 Statistics for archaeologists

Faculty of Arts
Spring 2009
Extent and Intensity
0/2. 3 credit(s). Recommended Type of Completion: k (colloquium). Other types of completion: z (credit).
Teacher(s)
prof. PhDr. Tomáš Urbánek, Ph.D. (lecturer)
Guaranteed by
prof. PhDr. Zdeněk Měřínský, CSc.
Department of Archaeology and Museology – Faculty of Arts
Contact Person: Jitka Dobešová
Timetable
Mon 11:40–13:15 A01
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 16 student(s).
Current registration and enrolment status: enrolled: 0/16, only registered: 0/16
fields of study / plans the course is directly associated with
there are 8 fields of study the course is directly associated with, display
Course objectives
The lecture is intended for students of archaeology who do not have sufficient mathematical training, but they will need to analyze a large volume of qualitative and quantitative data obtained from the literature, their own measurement of artifacts, or the datasets from the field research. The objectives:
to understand the statistical methods;
to be able to select the best technique for the analysis of particular data;
to understand the results obtained from the analysis;
to work with statistical software;
Syllabus
  • 1. Basic statistical terminology. Main statistical tools. Sources of archaeological data. Measurement, scales, data.
  • 2. Unidimensional archaeological datafiles. Basic operations with files. Statistical parameters. Theoretical distributions.
  • 3. Some selected distributions. Confidence intervals.
  • 4. Hypothesis testing; significance, fit, outliers, randomness; parametric and non-parametric tests.
  • 5. Graphs and presentation of the statistical results.
  • 6. Multivariate archaeological data and multivariate analysis.
  • 7. Random variables. Statistical relation. Correlation.
  • 8. Data matrix. Data transformations.
  • 9. Classification, taxonomy.
  • 10. Distance, similarity and dispersion of the archaeological objects.
  • 11. Object grouping, clustering. Seriation.
  • 12. Correspondence analysis.
  • 13. Cluster analysis. Dendrograms.
  • 14. Factor analysis.
  • 15. Interpretation and presentation of the results.
Literature
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
  • SWOBODA, Helmut. Moderní statistika. Translated by Jaromír Císař. Vyd. 1. Praha: Svoboda, 1977, 351 s. URL info
Assessment methods
reliable knowledge of the statistical terminology, participation in the classes, independent statistical analyses of students' own data
Language of instruction
Czech
Further Comments
Study Materials
The course is taught once in two years.
The course is also listed under the following terms Spring 2007, Spring 2014, Spring 2016, Spring 2018.
  • Enrolment Statistics (Spring 2009, recent)
  • Permalink: https://is.muni.cz/course/phil/spring2009/AEB_105