(in Polish) Statystyka w humanistycznym warsztacie badawczym

General data

Course ID:	1500-SZD-SWHWB
Erasmus code / ISCED:	(unknown) / (unknown)
Course title:	(unknown)
Name in Polish:	Statystyka w humanistycznym warsztacie badawczym
Organizational unit:	Faculty of Archeology
Course groups:
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
Language:	Polish
Type of course:	elective courses
Short description:	The course introduces the basics of statistical analysis with the presentation of the performing main statistical tests on the archaeological data using MyStat statistical software (software available to the student as freeware by the producer).
Full description:	The course introduces the basics of statistical inference procedures. The course aims to teach basic statistical tests useful in humanities, with a focus on archaeological data. The analysis will be performed using the computer software MyStat - classes will take place in the Faculty of Archaeology computer lab. You will need access to a computer running Windows (Windows XP - Windows 10, the program does not work on Windows 8) to complete the homework. The following elements will be discussed during the class: Introduction to the computer software (MyStat: https://systatsoftware.com/downloads/download-mystat/), graphical presentation of data, basic statistics, frequency analysis (Chi2 test), analysis of differences between means (t-test and non-parametric equivalents), variance analysis (ANOVA and non-parametric equivalents), correlation analysis, distance and similarity measures. All tests will be presented using archaeological examples and archaeological data (when needed, other humanities data will be used) to facilitate interpreting the results.
Bibliography:	Łomnicki, A. (dowolne wydanie). "Wprowadzenie do statystyki dla przyrodników" Wydawnictwo Naukowe PWN, Warszawa Drennan, R. D. (2009). "Statistics for archaeologists. A common-sense approach" Springer
Learning outcomes:	After completing the course, the participant: knows and understands: methodology and principles of statistical analyses in humanities research, with particular regard to archaeological research (P8S_WG.1; P8S_WG.3) limitations of statistical inference and its impact on the interpretation of humanities data, is familiar with the limitations of numerical data in the humanities (P8S_WK.1) can: use statistical analysis to verify scientific hypotheses in a comprehensible manner by presenting the results of statistical tests (P8S_UW.1) is ready to: recognize the importance of statistical research in solving research problems (P8S_KK.3)
Assessment methods and assessment criteria:	An unjustified absence from classes is allowed three times. Passing grade is based on homework (performing the discussed statistical test on the chosen data). The grade is calculated based on the average score of all the homework. Individual works can be corrected by presenting a test performed on another dataset.

This course is not currently offered.

Course descriptions are protected by copyright.
Copyright by University of Warsaw.