Statistics II 2500-PL-PS-OB2Z-5
The course will be conducted in computer lab with SPSS statistical application. Students will learn how to operate with databases and how to use statistical tests.
The classes cover the following topics:
- basic functions of the SPSS software; database preparation – entering data, importing data from different types of files;
- measurement scales and proper descriptive statistics; measures of central tendency – mean, median, mode; measures of dispersion – standard deviation, variance;
- percentile distributions – frequencies and cross-tabs;
- graphical presentation of data;
- creating variables – recoding, ranking, counting, computing;
- dividing into groups – examples;
- standardizing – method and examples;
- difference between means – three types of t-test, p-value, interpretation of results, writing results with APA style, graphs, Coehn’s-d value of effect size;
- Chi-square test – application, writing and interpretation of results, graphs;
- basic nonparametric tests – Mann-Whitney, Wilcoxon, Kruskall-Wallis. median test, Friedman test - application, writing and interpretation of results, graphs;
- correlation - application, writing and interpretation of results, graphs;
- one-factor analysis of variance - application, different models, contrasts apriori and post-hoc, writing and interpretation of results, graphs, effect size;
Prerequisites (description)
Course coordinators
Learning outcomes
Student can apply IBM SPSS software to count basic statistical tests and describe their results; student can understand scientific reports in which statistical tests were used: t tests, one-way ANOVA, correlation, nonparametric tests and correlation coefficients.
Assessment criteria
Components of final grade: final test with practical tasks (75%), homeworks (15%), short quizies (10%).
Bibliography
Bedyńska, S. i Cypryańska, M. (red.). (2012). Statystyczny drogowskaz 1. Praktyczne wprowadzenie do wnioskowania statystycznego. Warszawa: Wydawnictwo Akademickie Sedno Spółka z o.o.
Bedyńska, S. i Cypryańska, M. (red.). (2013). Statystyczny drogowskaz 2. Praktyczne wprowadzenie do analizy wariancji. Warszawa: Wydawnictwo Akademickie Sedno Spółka z o.o.Ferguson G.A. i Takane Y. (1997). Analiza statystyczna w psychologii i pedagogice. Warszawa: PWN.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: