SylabUZ
| Course name | Statistics in Environmental Studies |
| Course ID | 11.2-WB-OS2P-BiolZw-S17 |
| Faculty | Faculty of Biological Sciences |
| Field of study | Environmental Protection |
| Education profile | academic |
| Level of studies | First-cycle studies leading to Bachelor's degree |
| Beginning semester | winter term 2021/2022 |
| Semester | 6 |
| ECTS credits to win | 2 |
| Course type | obligatory |
| Teaching language | english |
| Author of syllabus |
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| The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
| Lecture | 15 | 1 | - | - | Credit with grade |
| Laboratory | 15 | 1 | - | - | Credit with grade |
The aim of the course is to convince students about the important role of statistics in modern science. To provide basic knowledge on the use of statistical analysis in the work of the biologist, or testing hypotheses.
Basic knowledge of mathematics in the field of the first class of high school. Basic knowledge of Excel package..
The role of statistics as a tool for research in the natural sciences. Types of measurements in biology. Samples and population statistics. Measures of position - measure of central tendency. Measures of dispersion - variability. Basics of probability theory. Testing hypotheses. Standardization of measurements. Normal distribution. Student's t-distribution. Tests of differences between means. Nonparametric tests. F-distribution. Basics of analysis of variance. Basics of correlation and regression analysis.
Introductory lecture conducted during exercise in the form of a multimedia presentation. Practical exercises: independent execution of simple measurements of biological eg. The length of pine needles. Implementation of the statistical description of the sample. Statistical hypothesis testing using a variety of tests available in the program Statistica for database previously collected their own data, and the examples given by the teacher.
| Outcome description | Outcome symbols | Methods of verification | The class form |
Verification of student's knowledge and skills will be held during the partial tests and final test. During the tests the student on the basis of a set of numerical data and the given research problem will need to correctly place the statistical hypotheses, choose the appropriate test and interpret the result. All tests shall be performed using computers and Statistica. Completion of the course requires: attendance (allowable absences 20%), positive (50% of the points + 1) partial credit tests and the final test.
STATISTICA Electronic Manual http://documentation.statsoft.com/
Zar J.H., 2010. Biostatistical Analysis (Fifth edition). Pearson Education Int
Hill T., Lewicki P. Statistics – Methods and Applications, Statsoft
Modified by dr Olaf Ciebiera (last modification: 19-05-2021 22:02)
