| Competences |
| Type A | Code | Competences Specific |
| A2 | Find, analyze and interpret quantitative and qualitative information of a financial, accounting, economic, social and legal nature that is relevant to the taking of business decisions. | |
| Type B | Code | Competences Transversal |
| B1 | Learning to learn | |
| Type C | Code | Competences Nuclear |
| C2 | Be advanced users of the information and communication technologies | |
| C3 | Be able to manage information and knowledge | |
| C4 | Be able to express themselves correctly both orally and in writing in one of the two official languages of the URV |
| Learning outcomes |
| Type A | Code | Learning outcomes |
| A2 |
Correctly interpret and organize initial quantitative and qualitative information. Solve statistical problems. Use the appropriate statistical techniques to solve problems. Interpret and understand statistical information. | |
| Type B | Code | Learning outcomes |
| B1 |
Put into practice the approaches, methods and experiments put forward by the teaching staff in a disciplined fashion. Select a procedure from among the ones proposed by the teaching staff. | |
| Type C | Code | Learning outcomes |
| C2 |
Use software for off-line communication: word processors, spreadsheets and digital presentations. | |
| C3 |
Locate and access information effectively and efficiently. | |
| C4 |
Produce grammatically correct written texts |
| Contents |
| Topic | Sub-topic |
| Introduction | 1. Purpose and Use of Economic Statistics. 2. Basic Concepts in Statistics. 3. Economic data. |
| Summary and Description of Data | 1. Frequency distributions. 2. Grouped data and Histograms. 3. Graphical methods. 4. Parameters and Statistics. 5. Measures of central tendency. 6. Measures of non-central tendency (Quantiles). 7. Measures of dispersion. 8. Asymmetry and Skewness. 9. Measures of concentration. |
| Bivariate Distributions | 1. Marginal and conditional distributions. 2. Covariance and correlation. 3. Statistical independence. |
| Regression | 1. Simple linear regression. 2. Least squares method. 3. Goodness of fit. 4. Forecasting. |
| Time series | 1. Rates. 2. Index numbers. 3. Deflating. |
| Planning |
| Methodologies :: Tests | ||||||||||
| Competences | (*) Class hours |
Hours outside the classroom |
(**) Total hours | |||||||
| Introductory activities |
|
1 | 2 | 3 | ||||||
| Lecture |
|
24 | 26 | 50 | ||||||
| Problem solving, exercises in the classroom |
|
18 | 24 | 42 | ||||||
| IT-based practicals in computer rooms |
|
10 | 30 | 40 | ||||||
| Personal attention |
|
1 | 0 | 1 | ||||||
| Practical tests |
|
4 | 4 | 8 | ||||||
| Mixed tests |
|
2 | 4 | 6 | ||||||
| (*) On e-learning, hours of virtual attendance of the teacher. (**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||||||||
| Methodologies |
| Description | |
| Introductory activities | Introducing topics, methodologies and other issues. |
| Lecture | Lectures. |
| Problem solving, exercises in the classroom | Solving problems in the classroom. |
| IT-based practicals in computer rooms | Using spreadsheets to analyse data (computers room). |
| Personal attention | Time that the teacher has to speak to pupils and resolve their doubts. |
| Personalized attention |
| Description |
| Students are encouraged to address their questions regarding the course during the lectures and/or through Moodle. They may also make use of the office hours (available at Moodle’s web page). |
| Assessment |
| Methodologies | Competences | Description | Weight | |||||
| Practical tests |
|
Es realitzaran 2 proves al llarg del curs, on cadascuna puntua un 15% de la nota final. Es requerirà una nota mínima de la mitjana de les dues proves pràctiques igual a 3 punts, per a poder fer la mitjana de l’assignatura. |
30% | |||||
| Mixed tests |
|
A la primera convocatòria oficial (50% de la nota final), amb preguntes curtes i/o tipus test, i exercicis pràctics. Es requerirà una nota mínima igual a 3 punts, per a poder fer la mitjana de l’assignatura. |
50% | |||||
| Others | Qüestionaris Moodle (4 o 5) de preguntes objectives curtes a resoldre al llarg del curs |
20% |
| Other comments and second exam session | |||
|
El primer dia de classe s'indicaran les normes de realització de les diferents proves així com el material que es pot portar en cadascuna d'elles. Aquestes normes estaran penjades a l'espai moodle de l'assignatura durant tot el curs. Las pràctiques a través de TIC hauran de penjar-se al moodle per poder fer les proves pràctiques i mixta. Important: En primera convocatòria, es requerirà una nota mínima de la prova mixta i de la mitjana de les dues proves pràctiques igual a 3 punts, per a poder fer la mitjana de l'assignatura. En cas que no s'arribi als 3 punts, la nota final en primera convocatòria serà la menor de les notes de la prova mixta i de les proves pràctiques. Segona convocatòria: L'estructura de l'examen és idèntica a la de la primera convocatòria oficial: preguntes curtes i/o tipus test, i exercicis pràctics. L'ús de la calculadora i/o del software informàtic és un dels objectius de l'assignatura. Per això a l'examen es permeten les calculadores científiques i únicament queden prohibits els dispositius que permeten la connexió a xarxes de dades. Així mateix queden totalment prohibits a l'aula l'ús de telèfons i altres dispositius mòbils que li suposaria a l'alumne l'expulsió de l'aula. |
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| Sources of information |
| Basic |
C. Domingo, J. Allepus, J.A. Corbatón, R. Casas, T. Corbella, M. Fibla, J. Masip, Exercicis d'estadística empresarial, , 2006
Martin Pliego, Introducción a la estadística económica yempresarial (Teoría y práctica), , 2004
C. Pérez, Estadística a través de Excel, , 2002 |
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Anderson, David R.; Sweeney, Dennis J.; Williams, Thomas, A. (2010): Statistics for business and economics, South-Western. Moore, David (2009): The Basic Practice of Statistics,W.H. Freeman. Moore, David (2010): Essential Statistics, W.H.Freeman. Newbold, Paul; Carlson, William; Thorne, Betty (2010): Statistics for Business and Economics, Prentice Hall. |
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| Complementary |
F. Arnaldos et al., Estadística descriptiva para economía y administración de empresas, , 2003
D. A. Lind et al., Estadística aplicada a los negocios y a la economía, , 2015 |
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On the web: Glossary of statistics: http://www.stats.gla.ac.uk/steps/glossary/index.html. Data: http://www.statsci.org/datasets.html (A portal for statistical science), |
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| Recommendations |
| Subjects that continue the syllabus | ||
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