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Course description
  STATISTICS I

Competencies and objectives

 

Course context for academic year 2015-16

This is the first course in the sequence "Quantitative Methods: Statistics and Econometrics". The second course of this sequence is in the second year. 

 

 

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 know and understand how to describe and present economic data (in table and graph form).
  • To know how to efficiently summarise the information contained in an economic data set.
  • To know and understand the basic principles of exploratory data analysis.
  • To demonstrate knowledge of and ability to apply the probability models used in economic analysis.
  • To develop the ability to select the appropriate theoretical framework to obtain conclusions from economic data.

 

 

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

Enabling the students to use Excel for descriptive statistical analysis and finding binomial and normal probabilities.

 

 

General

Code: 35009
Lecturer responsible:
MORA LOPEZ, JUAN
Credits ECTS: 6,00
Theoretical credits: 1,20
Practical credits: 1,20
Distance-base hours: 3,60

Departments involved

  • Dept: FOUNDATIONS OF ECONOMIC ANALYSIS
    Area: FOUNDATIONS OF ECONOMIC ANALYSIS
    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