Universidad Pública de Navarra - Nafarroako Univertsitate Publikoa

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: Analysis of univariate data: frequency tables, graphical representations of data and statistical measures.
• Chapter 3 : 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 an 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. Basic notions of probability abd random variables are also introduced.

The use of different statistical packages will be fundamental in data analysis.

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Specific proficiencies

Course competencies:

c1) Apply appropriate descriptive techniques to problem resolution by using statistical software.
c2) Make a proper use of basic statistic concepts and notation and apply them to interpret numerical results.
c3) Develop efficient work habits.

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Methodology

From a total of 60 hours, 40 will be devoted to theoretical, problems 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 asked to participate by asking and answering short questions and solving exercises, so they keep their attention in the development of the lesson.
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 statistical analysis by using those notions previously introduced during the theoretical sessions.

MiAulario will be used as the course web page.

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Languages

English.

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Evaluation

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Agenda

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

Chapter 2: Analysis of univariate data: frequency tables, graphical representations of data and statistical measures.
2.1.-Frequency tables and graphs.
2.2.- Measures of central and non-central location.
2.3.- Box-plots.
2.4.- Measures of absolute and relative variability.
2.5.- Standarized scores.
2.6.- Measures of shape.
2.7.- Measures of concentration: Gini Index.

Chapter 3: Analysis of bivariate data: contingency tables and regression analysis.
3.1.- Contingency tables.
3.2.- Covariance and correlation.
3.3.- Statistical and Functional dependence.
3.4.- Simple linear regression: Least squares method.
3.5.- Non linear regression models.

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

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

Chapter 6: Probability and an introduction to discrete random variables.
6.1.- Basic terminology of probability.
6.2.- Probability Rules.
6.3.- Conditional probability and independence.
6.4.- Bayes' Theorem.
6.5.- 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.  "Basic Statistics with Microsoft Excel and R-Commander".  EDS.

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 recommended additional material.

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