Understand and use probability as a measure of uncertainty in economic phenomena.
Differentiate and apply the most important models of probability, both discrete and continuous.
Measure the uncertainty of future results and facts.
Use and schedule sampling methods to extract information from economic phenomena.
Calculate the sample size needed for making decisions with minimum guarantees.
Synthesize the sample information in the more usual statistics. Calculate and assess these statistics, examining the conclusions.
Infer properties of theoretical models from sample observations and justify the goodness of these properties.
Design tests of statistical hypotheses to corroborate or refute a theory from the sample information.
Utilize the more usual statistical tests for proportions, means and variances of random models.
Compare and analyze the properties of two random models, detecting the differences between proportions, means and variances.
The subject Statistics II is given by the Department of Economic Structure and History and Public Economy, and belongs to the knowledge area of Quantitative Methods for Economy and Business. This module is compulsory in the second year. It has a strong quantitative profile, and provides the basic tools for the treatment of information and the quantification of economic phenomena. It forms the basis of the statistical method in decision making in the economy and business field, describing in detail and justifying the methods and techniques used in the analysis and interpretation of economic data. The module focuses mainly on inferential methods, providing the student with the ability of estimating and testing models that describe and explain economic phenomena.