Computer statistics WF-PS-N-STK

Educational outcomes
KNOWLEDGE:
- student distinguishes and characterizes basic statistical analyzes

SKILLS:
- performs basic analysis in SPSS and interprets their results

COMPETENCES:

- maintains criticism of the results of statistical analysis as a tool used to verify theoretical theses

- Insufficient (2): the student gives fragmentary or incorrect definitions of basic statistical terms (such as variance, level of significance of inference, type I and type II errors, etc.), or does not know them at all. He or she is not able to correctly use the statistical methods discussed during classes, or uses them thoughtlessly, without taking into account their conditions. The student formulates incorrect or unauthorized conclusions, inadequately using statistical terminology. He or she provides explanations or justifications unrelated or having little relevance to the problem being analyzed. Moreover, the student is often unable to identify this problem correctly. He or she does not pay attention to errors in the selection of statistical tests and draws incorrect conclusions on its basis.

- Sufficient (3): the student is able to give correct definitions of basic statistical terms. However, he or she is not able to synthesize knowledge of a specific problem. To a limited extent, he or she uses his or her knowledge to solve specific statistical problems and justify the adopted solutions. He or she is able to correctly use some of the statistical methods discussed during classes, but omits others or does not apply them correctly. Moreover, his or her justifications are often incomplete or unclear. Presenting the received solutions, the student sometimes incorrectly uses statistical terminology. It happens that he or she chooses wrong statistical tests and draws incorrect conclusions based on them.

Good (4): the student not only correctly defines the basic statistical terms but is able to synthesize information on a given topic, consistently presenting most statistical issues. The explanations he or she provides may contain some gaps. Although they are not always exhaustive, they have a logical structure. He or she correctly uses the statistical methods discussed during classes, although he or she sometimes misses some - sometimes even key - assumptions in analyzing the problem. The solutions received are presented using the correct statistical terminology. The student can capture wrong decisions regarding statistical tests, improve them and formulate appropriate conclusions.

Very good (5): the student is perfectly familiar with the discussed statistical issues and is able to present them in a logical, coherent, and exhaustive manner, using statistical terminology correctly and precisely. He or she is able to make a comprehensive analysis of a specific statistical problem, taking into account all available information and justify the choice of the proposed solution. The student is sensitive to inconsistencies and mistakes in presenting statistical issues and is able to capture and correct them. He or she correctly uses statistical methods discussed during classes, and can also discuss their limitations. The student rarely makes the wrong decisions about statistical tests, but corrects them and draws the appropriate conclusions.

The final grade is based on:

- attendance at classes
- activity during classes (30%)
- final test verifying the skills presented in class (analysis and interpretation of data from the tutor's database) (70%)

Bedyńska, S., Książek, M. (2012). Statystyczny drogowskaz, wydanie 3-tomowe. Warszawa: Wydawnictwo Akademickie Sedno.

Field, A. (2014). Discovering statistics using IBM SPSS statistics, fourth edition. Sage.

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

• Description of WF-PS-N-STK in USOSweb