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Type A
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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.
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Type B
|
Code |
Competences Transversal | | | B1 |
Learning to learn |
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Type C
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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 |
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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.
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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.
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Type C
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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
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| Topic |
Sub-topic |
| Introduction |
1. Purpose and Use of Economic Statistics.
2. Basic Concepts in Statistics.
3. Economic data.
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| 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.
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| Time series |
1. Rates.
2. Index numbers.
3. Deflating.
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| Methodologies :: Tests |
| |
Competences |
(*) Class hours
|
Hours outside the classroom
|
(**) Total hours |
| Introductory activities |
|
1 |
3 |
4 |
| Lecture |
|
20 |
29 |
49 |
| Problem solving, exercises in the classroom |
|
10 |
15 |
25 |
| IT-based practicals in computer rooms |
|
22 |
35 |
57 |
| Personal attention |
|
1 |
0 |
1 |
| |
| Mixed tests |
|
2 |
4 |
6 |
| Practical tests |
|
4 |
4 |
8 |
| |
(*) 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. |
|
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). |
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Methodologies |
Competences
|
Description |
Weight |
|
|
|
|
| Mixed tests |
|
A la primera convocatòria oficial (60% de la nota final), amb preguntes curtes i/o tipus test, i exercicis pràctics. |
60% |
| Practical tests |
|
Es realitzaran 2 proves al llarg del curs, on cadascuna puntua un 20% de la nota final. |
40% |
| Others |
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| |
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Other comments and second exam session |
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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 en aules informàtiques hauran de penjar-se al moodle al cap d'una setmana per poder fer les proves pràctiques i mixta. 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. |
| Basic |
|
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 |
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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),
http://epp.eurostat.ec.europa.eu/portal/page/portal/eurostat/home/(EU statistics),
www.ine.es (Instituto Nacional de Estadística) and www.idescat.net (Institut Català d’Estadística).
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(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. |
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