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:
• Introductory classes on basic conceptual categories and terminology in the field of natural sciences/statistics and practical application of statistical research methods
• 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, 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.
|
Term 2021/22_L:
Exercises are devoted to independent statistical calculations. Practical classes include: 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. |
Term 2022/23_L:
Exercises are devoted to independent statistical calculations. Practical classes include: 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. |
Term 2023/24_L:
Exercises are devoted to independent statistical calculations. Practical classes include: 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. |
Term 2024/25_L:
Exercises are devoted to independent statistical calculations. Practical classes include: 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. |
(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
Descriptive statistics including:
-introductory classes on basic conceptual categories and terminology in the field of natural sciences/statistics and practical application of statistical research methods (OB1_W10, OB1_U01, OB_U6, OB_U07)
-Creation of distribution series and graphical representation of the structure of the distribution series (histograms and polygons of counts), calculation of basic statistics from distribution series in the form of measures of central tendency and measures of dispersion. (mean and standard deviation by cumulation and deviation methods, coefficients of variation), analysis of the distribution from a sample, measures of asymmetry of distribution (OB1_W10, OB1_U01, OB1_U06, OB1_U08 OB1_K05)
Inductive statistics including:
-stages of implementation of a scientific study, principles of formulation of scientific objectives, statistical hypotheses, hypothesis verification, Errors of I and II type, parametric and non-parametric statistical tests (including Student's t-test, ANOVA, tests for fractions), regression analysis, Chi2 test (OB1_W10, OB1_U01, OB1_U06, OB1_U07, OB1_U08, OB1_K05)
ECTS 2
Task 1: active participation in classes- 30h
task 2: preparation for colloquia - 30h
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.
Assessment criteria:
5.0 - flawless solution of the task
4.5 - minor calculation errors
4.0 No statistical hypotheses stated in the task and minor calculation errors, correct interpretation
3.5 - no hypotheses, major calculation errors and correct interpretation of results
3.0 - no hypotheses, major calculation errors, incomplete interpretation
2.0 - no hypotheses, major calculation errors, no interpretation of results
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.
|
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
|
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: