Informatics 2 - using of statistical methods in enviromental sciences WF-OB-INFO2
- https://teams.microsoft.com/l/team/19%3att8jlCVoCfRMqQUgioOvhdXxh6SbDIBy3dN2_yjhuj81%40thread.tacv2/conversations?groupId=268016f4-3d45-4f54-8ff3-287d408ae0c2&tenantId=12578430-c51b-4816-8163-c7281035b9b3 (term 2021/22_L)
- https://teams.microsoft.com/l/team/19%3att8jlCVoCfRMqQUgioOvhdXxh6SbDIBy3dN2_yjhuj81%40thread.tacv2/conversations?groupId=268016f4-3d45-4f54-8ff3-287d408ae0c2&tenantId=12578430-c51b-4816-8163-c7281035b9b3 (term 2022/23_L)
- https://teams.microsoft.com/l/team/19%3att8jlCVoCfRMqQUgioOvhdXxh6SbDIBy3dN2_yjhuj81%40thread.tacv2/conversations?groupId=268016f4-3d45-4f54-8ff3-287d408ae0c2&tenantId=12578430-c51b-4816-8163-c7281035b9b3 (term 2023/24_L)
- https://teams.microsoft.com/l/team/19%3att8jlCVoCfRMqQUgioOvhdXxh6SbDIBy3dN2_yjhuj81%40thread.tacv2/conversations?groupId=268016f4-3d45-4f54-8ff3-287d408ae0c2&tenantId=12578430-c51b-4816-8163-c7281035b9b3 (term 2024/25_L)
Exercises are devoted to independent statistical calculations. Practical classes include:
• Creating distribution series and graphical representation of the distribution series structure (histograms and polygons)
• Calculation of basic statistics from distribution series in the form of central trend measures and dispersion measures. (mean and standard deviation by the method of accumulation and deviations, coefficients of variation)
• Analysis of sample distribution, measures of distribution asymmetry
• Induction statistics, including: stages of scientific research, principles of formulating scientific goals, statistical hypotheses, verification of hypotheses, Type I and Type II errors.
• Parametric and nonparametric statistical tests (including student's t-tests, ANOVA, fraction tests)
• regression analysis,
• Chi2 test,
In addition to knowledge about the use of these methods, emphasis will also be placed on the issue of conditions in which analyzes of a given type are allowed to be performed. Emphasis is also placed on the interpretation of results and methods of presenting the results of statistical analyzes.
During the course, the student becomes familiar with statistical inference using appropriate statistical tests (Student's t-test, one-way analysis of variance, Mann-Whitney test, Wilcoxon, Kruskal Walis, correlation and straight line regression, Chi 2 test). Performs simple research tasks or expert opinions typical of biological sciences under the supervision of a scientific supervisor. Uses statistical methods at the basic level to describe phenomena and analyze data. Is able to analyze statistical information from various sources and present correct conclusions. He can make the correct hypotheses based on logical premises. Uses basic statistical methods and computational techniques. Can carry out statistical tests. Correctly interprets empirical data and draws appropriate conclusions.
(in Polish) E-Learning
(in Polish) Grupa przedmiotów ogólnouczenianych
Subject level
Learning outcome code/codes
Type of subject
Course coordinators
Learning outcomes
In terms of knowledge:
Student describes nature as a set of cognitive, economic,
aesthetic and educational P1A_W02
demonstrates knowledge of basic conceptual categories and terminology
the area of natural sciences and the development of these disciplines and the research methods used in them P1A_W04 P1A_W05 H1A_W04
knows and uses mathematical and statistical tools level enabling the description of natural phenomena P1A_W02 P1A_W03
In terms of skills:
Student performs measurements and determines values and assesses the reliability of basic physical and chemical quantities P1A_U01
Uses basic statistical methods and IT techniques to describe phenomena and analyze data. P1A_U01 P1A_U05
interprets observations and measurements and draws correct conclusions based on them P1A_U07
puts forward correct hypotheses regarding the causes of existing situations/threats based on logical premises P1A_U07
In terms of social competence:
Student knows the scope of interdisciplinary knowledge he or she possesses
skills and understands the need for continuous education and development
professional H1A_K01 H1A_K02 H1A_K06
shows caution and criticism in accepting information from literature
scientific, Internet, and especially available in mass media,
relating to environmental protection P1A_K04 P1A_K07
The student consistently applies and disseminates the principle of strict, based on empirical foundations, interpretation of biological phenomena and processes.Demonstrates criticism in receiving information related to biological sciences from scientific literature, the Internet, and especially available in mass media.Can be self-critical and draw conclusions based on an analysis of their skills, attitudes and actions
Assessment criteria
Completion of exercises for the grade, colloquium / practical test.
Learning outcomes are verified in the form of colloquia carried out during classes.
In order to pass the course, students should correctly solve statistical sentences using appropriate formulas. The final grade of the exercises is the result of partial tests checking the knowledge of the exercises. The exam is in the form of written task solving.
Bibliography
The lecturer provides assistance in selecting literature
1. Byrkit DR, Statistics today – a comprahensive introduction. Cummings Publ. Comp. 1987.
2. Marek T, Analiza skupień w badaniach empirycznych – Metody SAHN. PWN, 1989.
3. Łomnicki A. Wprowadzenie do statystyki dla przyrodników, PWN, 2016
4. Blalock H., Statystyka dla socjologów, PWN, 1977.
5. Stanisz A. Biostatystyka, Wyd. UJ, 2005
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Term 2021/22_L:
1. Byrkit DR, Statistics today – a comprahensive introduction. Cummings Publ. Comp. 1987. |
Term 2022/23_L:
1. Byrkit DR, Statistics today – a comprahensive introduction. Cummings Publ. Comp. 1987. |
Term 2023/24_L:
1. Byrkit DR, Statistics today – a comprahensive introduction. Cummings Publ. Comp. 1987. |
Term 2024/25_L:
1. Byrkit DR, Statistics today – a comprahensive introduction. Cummings Publ. Comp. 1987. |
Notes
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Term 2021/22_L:
Attending lectures, basic mathematics and population biology |
Term 2022/23_L:
Attending lectures, basic mathematics and population biology |
Term 2023/24_L:
Attending lectures, basic mathematics and population biology |
Term 2024/25_L:
Attending lectures, basic mathematics and population biology |
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: