Department of Evolutionary Zoology and Human Biology
University of Debrecen
Magyarul  |  in English
Design and evaluation of experiments


TBBE0625

Lectures: 1h/week
Credits: 1
Examination: written
Lecturer: Jácint Tökölyi

Aims of the course: During the course we will study the basic principles of statistical analyses of biological data, the statisticaly valid design of simple but realistic experiments, and their analyses. After the course you will be able to design and evaluate a small to medium volume research project.

Short description of the course: The steps of investigations in natural sciences. Why do we need biometry? Design of experiments: principles, elements, and limits of experiments, main types of experimental designs. Some probability theory: random variables and their distributions. Statistical description of data: tables, graphs and descriptive statistics. Hypothesis testing, decision making, type I and II errors. Parametric tests. Analyses of variance. General linear models. Non-parametric tests, contingency tables. This course is complemented by a practical where we will put great emphasis on practical use of the statistical procedures and will use the R statistical environment.

Literature:
Sokal RR. & Rohlf FJ. 1981. Biometry. W.H. Freeman, New York.
Zar JH. 1984. Biostatistical analysis. Prentice Hall, New Jersey.
Dalgaard P. 2008. Introductory statistics with R. Springer.


Practical to the subject:
TBBE0625 Introduction to biometry practicals

Practicals: 2
Credits: 2
Examination: written
Lecturer: Zoltán Barta (professor)

Aims of the course: This practical is a complement to the course "An introduction to biometry". During this course we will explore the theoretical concepts presented in the theoretical part. You will also be presented and practice the practical workflow of data analyses using the R statistical environment. After the course you will be able to evaluate a small to medium volume research project.

Short description of the course: For the description of the topics covered, see the theoretical course description.

Literature:
Sokal RR. & Rohlf FJ. 1981. Biometry. W.H. Freeman, New York.
Zar JH. 1984. Biostatistical analysis. Prentice Hall, New Jersey.
Dalgaard P. 2008. Introductory statistics with R. Springer.

downloadable materials
file size hits thumbnail   date
fogalomtar2017.pdf 75 Kb 260 downloads/thumbs/072c281b4328d7fdab5b19564c9bf596 2018-02-13 12:01
startup.csv 1 Kb 67 2018-01-03 09:18
blood.csv 0 Kb 57 2018-01-03 09:18
brainhead.dat 2 Kb 91 2017-11-20 09:43
lepke.csv 2 Kb 270 2015-05-22 07:39
oxford.csv 59 Kb 531 2014-11-03 09:45
murders.csv 1 Kb 542 2014-10-06 09:40
lilemeret.txt 3 Kb 683 2014-06-25 22:29
adatsorok.zip 5 Kb 546 2014-05-13 07:28
feladatsor_2014.pdf 374 Kb 1065 downloads/thumbs/818b42d77c40f5dcf484c0b518a07d13 2014-05-09 09:37
jegyzet2013.pdf 347 Kb 1962 downloads/thumbs/58fdac3adb7c7d8d5b1da703b5fbb5e2 2013-12-14 22:18
feladatsor2_2013.pdf 51 Kb 900 downloads/thumbs/3cfa4a8b66c0ebb55240389e0734baf1 2013-12-01 20:41
elatine.xls 21 Kb 300 2013-12-01 20:33
magassagok.jpg 366 Kb 396 downloads/thumbs/d89299bd4593282705b86ae0d88a67a4 2013-09-30 09:40
feladat.pdf 23 Kb 812 downloads/thumbs/3093920efb8bd6c3b1537fe3f6369c65
adat.csv 0 Kb 423