This subject provides an introduction to the basic principles of the experimental planning process and a broad range of statistical models to deal with data coming from planned designs. Particular emphases is put on: (i) evaluating the pros and cons of various design strategies, and (ii) discussing the applicability of the statistical procedures according to the pursued objectives and the structural assumptions behind data. Statistical software is also used to complement the practical and theoretical learning.
Contingency plan
1. Modifications to the contents
2. Methodologies
*Teaching methodologies that are maintained
*Teaching methodologies that are modified
3. Mechanisms for personalized attention to students
4. Modifications in the evaluation
*Evaluation observations:
5. Modifications to the bibliography or webgraphy
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.