Basics of statistics for biologists WB-BI-35-26
The aim of the course is to familiarize students with the basic statistical methods and to learn their practical application in Excel and Statistica. During class, students learn how to create databases, how to calculate descriptive statistics (mean, standard deviation, volatility range, quartile, median, mode) as well as basic statistical tests for comparing two or more groups, correlation and regression analyses. Learning how to interpret the results will also be an important part of the exercises.
Subject area: The course is conducted in the following subject areas:
Introduction to the basics of statistics: presentation of the concepts of the statistical survey, the general sample, the statistical sample, the database, the types of data (qualitative and quantitative variables), data input into the database, the coding of qualitative variables, dependent and independent groups.
2. Descriptive statistics and methods of their interpretation, creating charts in Excel and Statistica. Normal distribution and verification of compliance with normal distribution. Formulation of statistical hypotheses, type I and II errors.
3. Selection of statistical tests to compare the two groups (parametric and nonparametric tests: Chi-square test, t-student test, U-man Whitney test; Kolmogorov-Smirnov test). Interpretation of the results of the above statistical tests.
4. Comparative tests of more than two groups: analysis of variance, Kruskal-Wallis test - application and interpretation of results.
5. Correlation and Regression Analysis – application and interpretation of results.
Term 2021/22_Z:
None |
(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 2023/24_Z: | Term 2019/20_Z: | Term 2021/22_Z: | Term 2020/21_Z: | Term 2022/23_Z: | Term 2024/25_Z: |
Practical placement
not applicable
Bibliography
Required literature:
Stanisz A. 2007. Affordable statistics course. T. 1,2. StatSoft, Krakow. (the corresponding parts are provided by the moderator)
Additional literature:
Dalgaard P. 2008. Introductory statistics with R. Springer Science+Business Media LLC, New York.
Lomnitzer A. 2010. Introduction to Statistics for Natural Scientists. Scientific publishing house PWN, Warsaw.
Logan M. 2010. Biostatistical design and analysis using R. A practical guide. Wiley-Blackwell, Chichester.
Term 2021/22_Z:
None |
Term 2023/24_Z:
None |
Term 2024/25_Z:
None |
Notes
Term 2023/24_Z:
None |
Term 2024/25_Z:
None |
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: