Descriptive statistics WSE-EK-SO
1. The subject, functions and purposefulness of statistics. Statistical research - types of research, the process of statistical research.
2. General population and statistical sample - methods of selecting the research sample.
3. Tabular and graphical presentation of statistical data, the use of statistical research results.
3. Structure analysis on the basis of classical and positional parameters - average measures.
4. Structure analysis based on the parameters of the distribution of one variable - dispersion.
5. Analysis of the structure of distribution - asymmetry and concentration.
6. Analysis of the interdependence of phenomena - correlation of quantitative features.
7. Analysis of the interdependence of phenomena - correlation of qualitative features.
8. Dynamics analysis - linear trend.
9. Statistical inference - distribution of variables and verification of parametric hypotheses.
(in Polish) Dyscyplina naukowa, do której odnoszą się efekty uczenia się
(in Polish) E-Learning
(in Polish) Grupa przedmiotów ogólnouczenianych
(in Polish) Opis nakładu pracy studenta w ECTS
Subject level
Learning outcome code/codes
Type of subject
Preliminary Requirements
Course coordinators
Term 2022/23_L: | Term 2021/22_L: | Term 2024/25_L: | Term 2023/24_L: | Term 2020/21_L: |
Learning outcomes
She/ He has a basic knowledge of statistics, as a social science, its place in the system of science and the relationship to other sciences
She/He knows the techniques of data collection, appropriate for the descriptive statistics and other subjects under the direction of the economy, allowing respondents to describe the structure of the community.
She/He knows the parameters describing the phenomenon of mass at a basic level
She/He knows the methods of preparation and presentation of the material dara research
Can carry out the statistics surveys and apply the results of research
Understands the need for systematic learning objects as a linear character
Can interact and work in a group, assuming different roles in it
Is aware of the ethical dimensions of scientific research
He able to determine priorities of own tasks or other’s
Student activity Student workload in hours.
participation in the lecture 15
participation in exercises 30
preparation for exercise 30
consultation 5
time to learn materials 75
preparation for the exam 20
TOTAL HOURS 175
NUMBER OF ECTS 6
Assessment criteria
EXERCISES:
The final grade is the arithmetic average of the written test and the group task grades including attendance (5%) and activity (5%) in class (5%).
LECTURE:
Exam: 2 theoretical questions, 2 tasks, a total of 5 points.
The number of points reflects the final grade.
Bibliography
Mandatory:
1. M Piłatowska, Repetytorium ze statystyki, PWN 2010
2. M. Sobczyk, Statystyka opisowa, C.H.Beck 2010
3. https://www.europarl.europa.eu/news/pl/headlines/society/20210211STO97614/big-data-definicja-korzysci-wyzwania-infografika
Facultative:
1. A. Maksimowicz-Ajchel, Wstęp do statystyki. Metody opisu statystycznego, Wyd. UW 2007
2. K. Kukuła, Elementy statystyki w zadaniach, PWN 2003
3. Katarzyna Grzeszkiewicz-Radulska(at al.), Analiza statystyczna z IBM SPSS Statistics, wyd. 2020, ISBN: 978-83-8220-387-5, e-ISBN:978-83-8220-388-2
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: