Statystic in enviromental sciences WF-OB-ZMI
- 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)
The course is devoted to learning basic statistical methods :
- Descriptive statistics including: familiarization with measurement scales, introduction to descriptive statistics, measures of central tendency and measures of dispersion and analysis of variation.
- Analysis of distribution from sample, measures of asymmetry of distribution
- Inductive statistics including: stages of implementation of a scientific study, principles of formulation of scientific objectives, statistical hypotheses, verification of hypotheses, Errors of I and II type.
- Parametric and non-parametric statistical methods (including Student's t-tests, ANOVA, MNOVA, tests for fractions)
- Simple and multivariate regression analysis, Chi2 test,
- Multivariate data analysis including: dendrogram analysis, cluster analysis and factor analysis
In addition to knowledge of the application of the methods mentioned, emphasis will also be placed on the question of the conditions under which analyses of a given type are allowed to be performed. Emphasis is also placed on the interpretation of results and ways of presenting the results of statistical analyses.
During the course, the student is introduced to statistical inference using appropriate statistical tests (Student's t-test, univariate and multivariate analysis of variance, Mann-Whitney test, Wilcoxon Kruskal Walis test, correlation and straight-line regression, Chi 2 test ). Performs simple research tasks or expert reports typical of the biological sciences under the guidance of a research supervisor. Uses statistical methods at a basic level to describe phenomena and analyze data. Can perform analysis of statistical information from various sources and provide correct conclusions. Can make correct hypotheses based on logical premises. Uses basic statistical methods and computational techniques. Can perform statistical tests. Correctly interprets empirical data and formulates appropriate conclusions.
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Term 2021/22_L:
The course is devoted to familiarizing with basic statistical methods. In the tutorial part, it will be implemented based on practical classes: |
Term 2022/23_L:
The course is devoted to familiarizing with basic statistical methods. In the tutorial part, it will be implemented based on practical classes: |
Term 2023/24_L:
The course is devoted to familiarizing with basic statistical methods. In the tutorial part, it will be implemented based on practical classes: |
Term 2024/25_L:
The course is devoted to familiarizing with basic statistical methods. In the tutorial part, it will be implemented based on practical classes: |
(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
Course coordinators
Learning outcomes
In terms of knowledge:
OB1_W10 – the student knows mathematical and statistical tools at a level that allows them to describe natural phenomena
In terms of skills:
OB1_U01 – the student is able to perform measurements and determine values and assess the reliability of basic physical and chemical quantities
OB1_U06 – the student is able to perform simple observations and measurements in the field and in the laboratory under the supervision of a supervisor
OB1_U07 – the student is able to interpret observations and measurements and draw correct conclusions based on them
OB1_U08 - the student is able to formulate correct hypotheses regarding the causes of existing situations/threats based on logical premises
In terms of competences:
OB1_K05 - showing caution and criticism in accepting information provided in the mass media that relates to environmental protection
Upon completion of the course, the student understands the importance of statistical and numerical methods for the description and interpretation of biological phenomena and processes.
Descriptive statistics including: familiarization with measurement scales, introduction to descriptive statistics, measures of central tendency and measures of dispersion and analysis of variation (OB_W010, OB_U01).
Terminology in statistics: including measures of central tendency and measures of dispersion and analysis of variability, analysis of distribution from sample, measures of asymmetry of distribution (OB_W10, OB_U06, OB_K05)
Sampled distribution analysis, measures of asymmetry of distribution, inductive statistics including: stages of scientific inquiry, principles of formulating scientific objectives, statistical hypotheses, hypothesis verification, Errors of I and II type, parametric and non-parametric statistical methods (m. including Student's t-test, ANOVA, MNOVA, tests for fractions), Simple and multivariate regression analysis, Chi2 test, Multivariate data analysis including: dendrogram analysis, cluster analysis and factor analysis (OB-W10, OB_U07, OB_U08, OB_K05)
ECTS 4
Task 1: active participation in classes- 30h
task 2: preparation for the exam - 60h
task 3: own work - 25h
Assessment criteria
The exam is a single-choice test. Completion of exercises for the grade, colloquium / practical test.
Learning outcomes are verified in the form of a written exam, which checks the understanding of the operation of statistical tools, the ability to correctly carry out statistical inference, as well as the assessment of such inference.
The exam takes the form of a single-choice test and contains information provided during lectures.
In order to complete the course the student should obtain at least 50% of the maximum number of points resulting from the test. The maximum number of points that can be obtained during the exam is variable (depending on the number of questions) and will be announced to students in each academic year
Assessment criteria:
inadequate 0-50%
sufficient 51% -70%
good 71-85%
very good 86-100%
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
6. Szostek K., i inni. 2005. Metody opracowania i prezentacji wyników. [w:] Dziecko Żywieckie, K. Kaczanowski (ed.), Wyd. PiT Kraków. pp. 17-19.
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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:
The student should know the basics of mathematics and have basic knowledge in the field of population biology |
Term 2022/23_L:
The student should know the basics of mathematics and have basic knowledge in the field of population biology |
Term 2023/24_L:
The student should know the basics of mathematics and have basic knowledge in the field of population biology |
Term 2024/25_L:
The student should know the basics of mathematics and have basic knowledge in the field of 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: