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Course description

Competencies and objectives


Course context for academic year 2015-16

Statistics is a basic tool for the analysis of the economic and business information; this is the reason why its study is included in the degrees of Economics in all the faculties around the world.

The course "Statistics II" is the second course of the area denoted as Quantitative Methods: Statistics and Econometrics, in the Degree of Economics at the University of Alicante. The goal of this course is to provide the students with the basic knowledge on Statistical Inference, which allow us to withdraw conclusions about an event of economic interest from the observed data.




Course content (verified by ANECA in official undergraduate and Master’s degrees)

General Competences (CG)

  • CG1 : Capacity to find and analyse information.
  • CG4 : Apply professional criteria based on the use of technical instruments to analyse problems.
  • CG5 : Capacity to take decisions by applying acquired knowledge to practical situations.
  • CG6 : Obtain important information from the data that is impossible for non-professionals to recognise.
  • CG8 : Analyse problems using critical reasoning, without prejudices, precisely and rigorously.


General Competences acquired at University of Alicante (CGUA)

  • CGUA2 : Use computer, I.T. and communications technology tools as a matter of course in all of one's professional activities.
  • CGUA3 : Capacity for oral and written communication.


Specific Competences (CE)

  • CE1 : Contribute towards the correct management of resource allocation in both the private and public context.
  • CE10 : Capacity to apply the knowledge and skills acquired to solve theoretical and applied economic problems.
  • CE12 : Be able to use the appropriate tools for the analysis, diagnosis and solution of economic questions and problems.
  • CE2 : Identify and anticipate relevant economic problems relating to resource allocation in general, in both the private and public context.
  • CE3 : Bring a rational approach to the analysis and description of any aspect of economic reality.
  • CE4 : Evaluate the consequences of different options for action and select the best one according to the objectives set.
  • CE8 : Identify the sources of relevant economic information and their content.




Learning outcomes (Training objectives)

  • To understand the characteristics of the data samples used in economic analysis; understanding the relationship between sample and population.
  • To understand the main point estimators for population characteristics of interest, and their properties.  
  • To know how to estimate population characteristics of interest using confidence intervals, and how to interpret the results.
  • To understand basic methodology for contrasting statistical hypotheses.
  • To understand and apply statistical hypothesis contrast procedures in order to study population characteristics of interest.
  • To develop the ability to analyse whether the theoretical framework used is suited to the economic problem to be analysed.



Specific objectives stated by the academic staff for academic year 2015-16

Enabling students to use Gretl for analysing data.




Code: 35014
Lecturer responsible:
Credits ECTS: 6,00
Theoretical credits: 1,20
Practical credits: 1,20
Distance-base hours: 3,60

Departments involved

    Theoretical credits: 1,2
    Practical credits: 1,2
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught