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.
(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
Term 2023/24_L: 1 ECTS corresponds to 25-30 hours of work
student, in accordance with the study program and
own work | Term 2024/25_L: student activity student workload in hours
lecture participation 15
tutorial participation 30
preparation for tutorials 30
consultations 5
time for conducting research 75
exam preparation 20
TOTAL HOURS 175
NUMBER OF ECTS 6 |
Subject level
Learning outcome code/codes
Type of subject
Preliminary Requirements
Course coordinators
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:
1 Colloquium (70%), activity during classes (20%),
The final grade is the arithmetic mean of the grades from the colloquium and activity during classes (20%) and attendance (10%) during classes.
LECTURE:
Exam: Project + theoretical questions in the form of an oral exam.
The number of points reflects the final grade.
Bibliography
Mandatory:
1. Maria Sobczyk, "Statystyka dla zarządzających" , PWE, rok 2018, ISBN: 978-83-208-2365-4
2. Iwona Bąk i Katarzyna Wawrzyniak, , "Statystyka opisowa. Metody i zadania" CeDeWu, wydania: 2022, ISBN: 978-83-8102-457-9
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: