IDENTIFYING DATA 2011_12
Subject (*) STATISTICS I Code 16204007
Study programme
Graduate in Finances and Accounting
 Cycle 1st
Descriptors Credits Type Year Period
6 Basic Course First First
Language
Castellà
Català
Department Economia
Coordinator
MASIP VIÑES, JOAN
ALLEPÚS QUEROL, JOSE MARIA
MARTÍNEZ IBÁÑEZ, OSCAR
LÓPEZ-REY LAURENS, JUAN MANUEL
CORBELLA DOMÈNECH, TERESA
 E-mail oscar.martinez@urv.cat
juanmanuel.lopezrey@urv.cat
joan.masip@urv.cat
teresa.corbella@urv.cat
josepmaria.allepus@urv.cat
Lecturers
MARTÍNEZ IBÁÑEZ, OSCAR
LÓPEZ-REY LAURENS, JUAN MANUEL
MASIP VIÑES, JOAN
CORBELLA DOMÈNECH, TERESA
ALLEPÚS QUEROL, JOSE MARIA
Web http://moodle.urv.cat/
General description and relevant information Learning how to organise economic information to better use it and to select appropriate measures to describe it. Contents: Descriptive statistics, regression analysis, index numbers and rates.

Competences
Type A Code Competences Specific
 A5 Students can 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.
 A8 Students can use appropriate mathematical and statistical tools to analyze the major variables of the economic and financial system
Type B Code Competences Transversal
 B1 Learning to learn
Type C Code Competences Nuclear
 C1 Have an intermediate mastery of a foreign language, preferably English
 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
 A5 Interpreta correctament i comprèn la informació estadística obtinguda.
 A8 Interpreta i organitza correctament la informació quantitativa i qualitativa inicial.
Resol sense errors els problemes estadístics que se li plantegen.
Aplica les tècniques estadístiques adequades al problema que es planteja.
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
 C1 Understand instructions about classes or tasks assigned by the teaching staff.
Understand the basic ideas of radio and television programmes.
 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.
Tema 6. Fonaments de probabilitat

Planning
Methodologies  ::  Tests
  Competences (*) Class hours
 Hours outside the classroom
 (**) Total hours
Introductory activities
1 3 4
Lecture
A5
A8
B1
C1
 28 42 70
Problem solving, classroom exercises
A5
A8
B1
C1
 22 33 55
Practicals using information and communication technologies (ICTs) in computer rooms
A5
A8
B1
C1
C3
 6 9 15
Personal tuition
A5
A8
B1
C1
 1 0 1
 
Mixed tests
A5
A8
B1
C1
C4
 2 3 5
 
(*) 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
Methodologies
  Description
Introductory activities Introducing topics, methodologies and other issues.
Lecture Lectures.
Problem solving, classroom exercises Solving problems in the classroom.
Practicals using information and communication technologies (ICTs) in computer rooms Using spreadsheets to analyse data (computers room).

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        
Practicals using information and communication technologies (ICTs) in computer rooms
A5
A8
B1
C1
C3
 There will be an exam covering each major topic ("Temes" or "Part de Temes") 10%
Mixed tests
A5
A8
B1
C1
C4
 There will be a final exam covering all thetopics (in the computer room) 90%
Others  
 
Other comments and second exam session

Results from the exams carried out for each major topic will be valid for both the first and second final exam ("Primera i Segona convocatòria)

Sources of information

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.

Complementary

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).

Recommendations
(*)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.