Public University of Navarre



Castellano | Academic year: 2014/2015 | Previous academic years:  2013/2014  |  2012/2013  |  2011/2012  |  2010/2011 
International Double Bachelor's degree in Economics, Management and Business Administration at the Universidad Pública de Navarra
Course code: 176203 Subject title: STATISTICS I
Credits: 6 Type of subject: Basic Year: 1 Period: 2º S
Department: Statistics and Operative Research
Lecturers:
PANIELLO ALASTRUEY, IRENE   [Mentoring ]

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Contents

An introduction to basic statistical concepts on data analysis, such as Descriptive Analysis of Univariate and Bivariate data real data, Description and Analysis of Temporal Data and Index numbers. Basic probability notions and an introduction to random variables.

Excel will be the usual framework for data analysis. Moreover students will be briefly introduced to the statistical package R Commander.

MiAulario will provide a communication channel between students and instructors.

  • Chapter 1: Introduction to Statistics for Economy and Business: Statistical applications in Business, types of data, data sources.
  • Chapter 2: Descriptive analysis of univariate data: frequency tables, graphical representations of data and  statistical measures.
  • Chapter 3 : Descriptive analysis of bivariate data: contingency tables and regression analysis.
  • Chapter 4: Index numbers: simple and composite indexes, applications and variation rates.
  • Chapter 5: Time series analysis: Numeric and graphical description of temporal data, time series components.
  • Chapter 6: Probability and  introduction to discrete random variables.

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Descriptors

An introduction to basic statistical concepts on data analysis, stressing on the role of Statistics in Economy and Business.

Topics of interest will cover sources of statistical data, data files management; descriptive analysis of univariate and bivariate data real data; description and analysis of temporal data and Index numbers.  The use of different statistical packages will be fundamental in data analysis. Basic notions of probability and random variables are also introduced.

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General proficiencies

  • GP01: Analysis and synthesis ability.
  • GP02: Organizational and planning abilities.
  • GP03: Efficient oral and written communication skills in English.
  • GP05: Computer knowledge for learning resources.
  • GP06: Ability to look for and analyse information from different economic sources.
  • GP07: Problem resolution skills.
  • GP09: Teamwork skills.
  • GP14: Critical and self-criticism abilitites.
  • GP17: Ability of self-learning.

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Specific proficiencies

  • SP02: Identify relevant sources of information in Business.
  • SP03: Manage data to derive information of interest not easily accessible to non-professionals.
  • SP04: Analyse business management situations by applying professional criteria based on technical knowledge.  

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Methodology

From a total of 60 hours, 40 will be devoted to theoretical, problem and computer sessions.

The remaining period will be devoted to check  students’ individual progress and to evaluate their work. These sessions will be scheduled along the semester.

Being the aim of this course mainly practical, theoretical and computer sessions will be alternated:

a) Theoretical sessions will consist on the exposition of the contents by the instructor. Students will be encouraged to participate by asking and answering short questions and solving exercises, so they keep their attention in the development of the lecture.

b) Computer sessions will be guided by the instructor. Students will be asked to look for data and make use of the provided software to carry out different statistical analyses by using those notions previously introduced during the lectures.

MiAulario will be used as the course web page.

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Evaluation

Activity Description Characteristics Weight
Continuous evaluation Individual In-term tests. Problem sessions and teamwork projects. Non-recoverable. 40%
Final Exam Written exam to be solved using an appropriate statistical software to perform the required data analysis.

Recoverable.
The final exam will take place in a computer room. The precise time and place will be announced by thr Faculty.
Allowed material: Summary of formulas.
Exam duration: 2 - 3 hours.

60%

It will be positively valued to have an active participation and attendance to the scheduled sessions.

(*) Recoverability requirements: Final exam score over 2,5 points and an average in-term test score over 2,5 points.

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Agenda

Chapter 1: Introduction to Statistics for Economy and Business: Statistical applications in Business, types of data, data sources.
- Statistics. Steps of a statistical study and different statistical areas.
- Enter data into an Excel spreadsheet and other statistical packages.
- Types of variables and scales of measurement.

Chapter 2: Descriptive analysis of univariate data: frequency tables, graphical representations of data and statistical measures.
- Frequency tables and graphical representations.
- Measures of central and non-central location.
- Box-plots.
- Measures of absolute and relative variability.
- Standarized scores.
- Measures of shape.
- Measures of concentration: Gini Index.

Chapter 3: Descriptive analysis of bivariate data: contingency tables and regression analysis.
- Contingency tables.
- Covariance and correlation.
- Statistical and Functional dependence.
- Simple linear regression: Least squares method.
- Non linear regression models.

Chapter 4: Index numbers: simple and composite indexes, applications and variation rates.
- Introduction. Simple and composite indexes.
- Properties. Change in base period. Deflation. Participation rates and repercussions.
- Consumer Price index and other indexes.
- Variation rates.

Chapter 5: Time series analysis. Numeric and graphical description of temporal data, time series components.
- Introduction.
- Graphical analysis of time series.
- Time series components and seasonal models.
- Trend analysis and analysis of seasonality.

Chapter 6: Probability and introduction to discrete random variables.
- Basic terminology of probability.
- Probability Rules.
- Conditional probability and independence.
- Bayes' Theorem.
- Discrete random variables

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Bibliography

Access the bibliography that your professor has requested from the Library.


Basic:

- PANIELLO, I.; RIVERA, R.; PORTILLA, M. (2011) "Statistical tools for socioeconomic data analysis". EDS.

- PANIELLO, I.; GARCIA, M.; RIVERA, R.; PORTILLA, M. (2012) "Basic Statistics with Microsoft Excel and R-Commander". EDS.

- NEWBOLD, P., CARLSON, W.L.; THORME, B. (2008) "Statistics for Business and Economics", Pearson Ed.

 

Complementary:

- ARNALDOS, F.; DÍAZ, T.; FAURA, U.; MOLERA, L.; PARRA, I. (2003) "Estadística Descriptiva para Economía y Administración de Empresas. Cuestiones tipo test y ejercicios con Microsoft Excel". 2ª edición revisada. Editorial AC-Thomson.

- CARRASCAL ARRANZA, U. (2007) "Estadística descriptiva con Microsoft Excel 2007". Editorial Rama.

- LIND; MARCHAL; WATHEN (2008) "Estadística aplicada a los negocios y la economía". 3ª edición en español (13ª en inglés). Ed. McGraw-Hill Interamericana.

- MARTÍN-PLIEGO, F.J. (2004) "Introducción a la estadística económica y empresarial: teoría y práctica". 3ª edición revisada. Editorial Thomson.

Students will be encouraged to use MiAulario. There students will find material for both theoretical lessons and computing lab sessions, together with data files and any other recommended additional material.

 

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Languages

English

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Location

Campus Arrosadía. Building "Aulario".

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