Main objective of this introductory course to data analysis is to let the student becoming familiar with the discipline, its logic and its tools. In particular, the student should develop the skill to select data that are most appropriate to solve a question and by which tools such data can be appropriately analyzed.
Main contents of the course are probability theory and related distributions (normal, binomial);experimental data and their treatment (tables, chartsm, hystograms) and the most important elementary statistical tests (Z, T, ANOVA, Regression, Correlation).
1.Sampling and data: descriptive statistics
3.Random variables and their distributions
5. Estimation problems: Z and t distributions, and differences between two means
6. Hypothesis testing
7. One-way and two-way ANOVA
M.C. Whitlock, D. Schulter
Statistical analysis of biological data.