Knowledge and understading
The course aims at providing knowledge and understanding of the classification and graphical representation of scientific data, their distribution and the indices to synthesize it (meand and dispersion). Knowledge and understanding of the theory of probability and how it can be used to test scientific hypotheses through some of the most common statistical tests in the field of Biology, namely Student t test, ANOVA, regression, and so on.
Applying knowledge and understading
The skills provided within the course will enable students to collect, organize and analyze experimental data. In particular, students will be able to plan correctly an experiment, and then applying the fittest test to analyze the data and to provide a correct interpretation of the results.
The skills students will learn during the course will allow them to interpret autonomously experimental data and the potentialities of the various statistical tests, and to form an informed opinion on the statistical analyses likely present in the scientific literature.
The students will have to show ability in supporting their experiments with appropriate statistical analyses. They will have to prove their skills of communicating others, in a clear and consistent way, the correct interpretation of the results of such analyses.
The students will have to show the capacity to learn new and more complex statistical methods and tests, as well as to identify the scientific and experimental contexts in which they will be applied.