Name: STATISTICS
Code: 520102003
Type: Basic
ECTS: 6
Length of subject: Per term
Semester and course: 2nd Year - First term
Speciality:
Language: English
Mode of study: On-site class
Lecturer data: RUIZ MARÍN, MANUEL
Knowledge area: Métodos Cuantitativos para la Economía y Empresa
Department: Métodos Cuantitativos, Ciencias Jurídicas y Lenguas Modernas
Telephone: 968325901
Email: manuel.ruiz@upct.es
Office hours and location:
Qualifications/Degrees:
Academic rank in UPCT: Catedrático de Universidad
Number of five-year periods: 4
Number of six-year periods: 3 de investigación
Curriculum Vitae: Full Profile
Lecturer data: GARCÍA CÓRDOBA, JOSÉ ANTONIO
Knowledge area: Métodos Cuantitativos para la Economía y Empresa
Department: Métodos Cuantitativos, Ciencias Jurídicas y Lenguas Modernas
Telephone:
Email: josea.garcia@upct.es
Office hours and location:
Qualifications/Degrees:
Graduate in Degree in Business Administration and Management from UNED (SPAIN) - 2017
PhD in ECONOMY AND BUSINESS MANGEMENT from Technical University of Cartagena (SPAIN) - 2004
Master in MBA from IE BUSINESS SCHOOL (SPAIN) - 1989
Licensed in MATHEMATICS from University of Granada (SPAIN) - 1985
Academic rank in UPCT: Profesor Contratado Doctor
Number of five-year periods: 2
Number of six-year periods: 1 de investigación
Curriculum Vitae: Full Profile
[CB3 ]. Students are required to have the ability to gather and interpret relevant data (usually within their area of study) to make judgments that include a reflection on relevant issues of a social, scientific or ethical nature.
[CG4 ]. To analyze, evaluate and summarize information in different areas of the tourism sector, applying ICTs and statistical methods.
[CE10 ]. Analyse quantitative and economic-business information in entities in the field of tourism
[CT4 ]. Using information resources responsibly
1. Utilize the resources obtained from an information set.
2. Identify the basic statistical concepts.
3. Use statistical tools for planning and forecasting.
4. Critically analyze data and their relationships.
5. Use statistical functions in excel.
Frequency distributions of one variable. Characteristics of a frequency distribution. Descriptive measures. Two-dimensional frequency distributions. Regression and correlation. Index numbers. Time series analysis.
Unit 1. Frequency distributions of one variable
The statistical data analysis concep.
Frequency table.
Graphical representation.
Unit 2. Characteristics of a frequency distribution
Central and non-central trend measures
Dispersion measures
Shape measures
Concentration measures. Gini's Index
Unit 3. Two-dimensional frequency distributions
Two-dimensional frequency distribution tables.
Conditional and marginal distributions
Covariance and statistical independence
Unit 4. Regression and correlation.
Linear Regression. The OLS method.
Non-linear regression. Parabolic, Hyperbolic and exponential models.
The coefficient of determination. The coefficient of linear correlation
Forecasting
Unit 5. Index numbers
Definition, types and properties.
Compounded index numbers. The Laspeyres' index' and the Paasche's Index.
Repercussion and participation of a good in the index variation.
Linkage of series. Deflation.
Unit 6. Time Series
Definition and components
Trend and seasonality. The moving averages and the seasonal variation indexes.
Forecasting
PRÁCTICAS
1. Construction of a frequency table and its graphical representation with excel. Solving problems with excel. 2. Computation of statistical measures with excel. Solving related problems with excel. 3. Computation of index numbers (simple and complex), variation rates, repercussion and participation with excel. Solving related problems with excel. 4. Construction of bidimensional distributions and computation of the covariance with excel. Solving related problems with excel. 5. Time series analysis. Computation of trend and seasonal variation indexes with excel. Solving related problems with excel.
Promoting the continuous improvement of working and study conditions of the entire university community is one the basic principles and goals of the Universidad Politécnica de Cartagena. Such commitment to prevention and the responsibilities arising from it concern all realms of the university: governing bodies, management team, teaching and research staff, administrative and service staff and students. The UPCT Service of Occupational Hazards (Servicio de Prevención de Riesgos Laborales de la UPCT) has published a "Risk Prevention Manual for new students" (Manual de acogida al estudiante en materia de prevención de riesgos), which may be downloaded from the e-learning platform ("Aula Virtual"), with instructions and recommendations on how to act properly, from the point of view of prevention (safety, ergonomics, etc.), when developing any type of activity at the University. You will also find recommendations on how to proceed in an emergency or if an incident occurs. Particularly when carrying out training practices in laboratories, workshops or field work, you must follow all your teacher's instructions, because he/she is the person responsible for your safety and health during practice performance. Feel free to ask any questions you may have and do not put your safety or that of your classmates at risk.
Theory class: Activities consisting of training sessions to develop theoretical knowledge based on concepts and theories
Explanation of the basic theoretical concepts, Competences CB3, CG4, CE10, CT4 and learning outcomes 1 to 5
48
100
Problem solving class: Activities consisting of training sessions to develop practical or applied knowledge based on problem solving exercises, or practical cases
Solve statistical problems with excel. COmpetences CB3, CG4 and learning outcomes1 to 5
10
100
Laboratory or field practice class: Activities aimed at developing practical or applied skills by the student supervised by a remote teacher
0
100
Practical class in the computer room: Activities for the acquisition of certain skills through the use of specific software
0
100
Seminars, tutorials led by teaching staff, conferences, visits, round tables, etc .: Activities to develop theoretical, practical or applied knowledge based on specific topics or views of the profession
Two partial exams consisting in two problems and a multiple-choice test. Competences CB3,CE10 and learning outcomes 1 to 5
2
100
Assessment activities (final assessment system)
Final exam consisting in practical problems and multiple-choice test. Competences CB3,CE10 and learning outcomes 1 to 5
3
100
Tutorials: Individual or in groups, will serve to advise, resolve any doubts, guide, monitor work or the knowledge acquired
Advise the student in the elaboration of a statistical report that have to hand in at the end of the course. Answer questions to students after the theoretical/practical classes.
7
50
Carrying out individual or group assignments: Autonomous and / or collaborative learning to develop theoretical, practical or applied knowledge by carrying out projects, practice reports and / or assignments
Autonomous study of the basic concepts given in the classroom. Solve the proposed problems. Elaborate a sytatistical report about a given data set. Competences CB3, CG4, CE10, CT4 and learning outcomes 1 to 5
80
0
Evaluation of assignments / reports / studies
Final statistical report on a given data set. The report has to be hand in before the second partial exam. The value in the final grade is 0%-15%. CB3, CG4, CE10, CT4 and learning outcomes 1 to 5
15 %
Individual final test
There will be two partial exams. Each partial exam has a value of the 40% of the final grade
To pass a partial exam the student has to obtain a mark of 4 points over 10.
Students who fail the continuous evaluation system will have the oportunity to pass the course in the final exam.
The mark obtained in these exams corresponds to the 80% of the final mark. Competences CB3, CE10 and learning outcomes 1 to 5
80 %
Attendance and participation in classes
Attend the lectures and participation in the classroom.
5 %
Evaluation of assignments / reports / studies
Final statistical report on a given data set. The report has to be hand in before the second partial exam. The value in the final grade is 0%-15%. To this mark there is an additional 5% corresponding to attendding the lect tures and participation in the classroom. Competences CB3, CG4, CE10, CT4 and learning outcomes 1 to 5.
20 %
Individual final test
Global/final exam. This exam has two parts. The first one consists in a list of problems and the second one is a multiple-choice test. The mark of the final exam will be the arithmetic mean of both parts.
The mark obtained in this exam corresponds to the 80% of the final mark. Competences CB3, CE10 and learning outcomes 1 to 5
80 %
Author: Newbold, Paul.
Title: Estadística para administración y economía /
Editorial:
Publication Date: 2013
ISBN: 9788415552215
Author: Martín Pliego, F.J.
Title: Introducción a la estadistica económica y empresarial.
Editorial: AC
Publication Date:
ISBN: 9788472881389
Author: Casas Sánchez, J.M
Title: Introducción a la estadística para administración y dirección de empresas.
Editorial: Ramón Areces
Publication Date: 2002
ISBN: 9788480045223