Statistical Kit for Sociologists 3500-FAKM-SNS
The course allows participants to learn and understand the basic concepts of statistical description and inference: Population, variables, size and frequency distributions, total distributions, conditional distributions, value and dispersion level parameters; Relationships between two variables: type I and II regressions, stochastic relationship, strength of statistical relationship, correlation ratio, correlation coefficient; Random variable, normal distribution, statistics from sample distribution; Statistical inference: point and interval estimation, hypothesis verification.
Type of course
Mode
Prerequisites (description)
Course coordinators
Learning outcomes
A student:
is aware of the importance of a reflective and critical approach to the results of social research, analyses and research procedures
has advanced and practically applicable knowledge about statistical description and inference
can select and adjust proper research methods and techniques (including advanced ones) to perform an analysis of a particular social problem
can interpret a social phenomenon using advanced statistical methods
can argue a thesis using scientific evidence
Assessment criteria
Final exam; obtaining course credit is conditional on not exceeding the limit of two absences in a semester
Bibliography
Lissowski, Jasiński, Haman, Podstawy statystyki dla socjologów, wyd II, WN Scholar, Warszawa 2011
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: