The course is offered to students of any study field.
Course objectives
Introduction to statistics, testing of hypotheses.
Tables of distribution functions.
Introduction to sampling design.
Distribution of continuous and bivariate variables.
Application of binomial and Poisson distribution in biology.
One sample testing.
Two sample testing.
Application of goodness-of-fit test in biology.
Measures of similarity in ecology.
Analysis of variance (ANOVA).
Simple linear regression. Linear regression.
Experimental design. Non - parametric ANOVA.
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. Non - parametric ANOVA.