PřF:C5831 Biostatistics - Course Information
C5831 Biostatistics
Faculty of ScienceAutumn 1999
- Extent and Intensity
- 2/2/0. 4 credit(s). Type of Completion: k (colloquium).
- Teacher(s)
- prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
- Guaranteed by
- prof. RNDr. Ladislav Dušek, Ph.D.
Chemistry Section – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D. - Prerequisites
- None - basic course
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Analytical Chemistry (programme PřF, M-CH)
- Analytical Chemistry (programme PřF, N-CH)
- Inorganic Chemistry (programme PřF, M-CH)
- Inorganic Chemistry (programme PřF, N-CH)
- Applied Biochemistry (programme PřF, B-CH)
- Biochemistry (programme PřF, M-CH)
- Biochemistry (programme PřF, N-CH)
- Physical Chemistry (programme PřF, M-CH)
- Physical Chemistry (programme PřF, N-CH)
- Chemistry (programme PřF, M-CH)
- Environmental Chemistry (programme PřF, M-CH)
- Environmental Chemistry (programme PřF, N-CH)
- Macromolecular Chemistry (programme PřF, M-CH)
- Macromolecular Chemistry (programme PřF, N-CH)
- Organic Chemistry (programme PřF, M-CH)
- Organic Chemistry (programme PřF, N-CH)
- Upper Secondary School Teacher Training in Chemistry (programme PdF, M-CH)
- Upper Secondary School Teacher Training in Chemistry (programme PřF, M-CH)
- Syllabus
- Introduction to statistics, testing of hypotheses.
- Tables of distribution functions. Sampling from biological populations, data processing.
- Introduction to sampling design. Continuous, ordinal and nominal data in biology.
- Distribution of continuous and bivariate variables - testing of hypotheses, graphical methods.
- Application of binomial and Poisson distribution in biology.
- One sample testing: sample mean, median, standard deviation, variance, binomial p and Poisson constant.
- Two sample testing. Experimental design - randomized and blocked. Parametric and non - parametric methods.
- Application of goodness-of-fit test in biology, analysis of R x C contingency tables, discrimination of categorical data.
- Measures of similarity in ecology (covariance, correlation coefficients, similarity coefficients).
- Analysis of variance (ANOVA): one-way and two-way model.
- Simple linear regression. Linear regression. Introduction to multivariate linear regression.
- Experimental design: one-way and two-way models; factorial design, randomized blocks. Laboratory and field trials. Nested design of ANOVA in genetics and ecology
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
The course is taught: every week.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/sci/autumn1999/C5831