Name: BUSINESS STATISTICS I
Code: 510201003
Type: Basic
ECTS: 7.5
Length of subject: Yearly
Semester and course: 1st Year - Yearly
Speciality:
Language: English
Mode of study: On-site class
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:
lunes - 08:00 / 09:00
EDIFICIO CIM - FCCE, planta 3, Despacho 315
lunes - 17:00 / 18:00
EDIFICIO CIM - FCCE, planta 3, Despacho 315
martes - 08:00 / 09:00
EDIFICIO CIM - FCCE, planta 3, Despacho 315
miércoles - 17:00 / 18:00
EDIFICIO CIM - FCCE, planta 3, Despacho 315
Tutorials will be carried out by request of the student sending an email to josea.garcia@upct.es
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
Responsible for the groups: G1, G3
Lecturer data: RUIZ MARÍN, MANUEL
Knowledge area: Métodos Cuantitativos para la Economía y Empresa
Department: Métodos Cuantitativos, Ciencias Jurídicas y Lenguas Modernas
Telephone: 4061 - 968325901
Email: manuel.ruiz@upct.es
Office hours and location: Tutorials will be carried out by request of the student sending an email to manuel.ruiz@upct.es
Qualifications/Degrees:
Academic rank in UPCT: Catedrático de Universidad
Number of five-year periods: 5
Number of six-year periods: 4 de investigación
Curriculum Vitae: Full Profile
Fundamentos estadísticos. Análisis estadístico de una variable. Datos univariantes: distribuciones no agrupadas y distribuciones agrupadas, incluyendo sus distribuciones de frecuencias, medidas descriptivas y representaciones gráficas. Atributos, incluyendo sus distribuciones de frecuencias, medidas descriptivas y representaciones gráficas. Análisis de datos bidimensionales, incluyendo sus distribuciones de frecuencias y representación gráfica, así como tablas de contingencia. Regresión y correlación. Números índices. Series temporales. Introducción a la probabilidad.
Unit 1. Statistical Distributions of a Characteristic
Descriptive statistics and inference.
Stages of statistical analysis.
Individual, population, and sample.
Types of variables.
Univariate frequency distributions. Graphical representation.
Unit 2. Characteristics of a Frequency Distribution
Measures of position, dispersion, shape, and concentration.
Unit 3. Bivariate Distributions
Bivariate distributions: tabulation, conditional and marginal distributions.
Covariance of two variables.
Independence of variables.
Unit 4. Regression and Correlation
Simple linear regression. The regression line.
Nonlinear regression: parabolic, power, exponential, and hyperbolic fits.
Coefficient of determination and linear correlation coefficient.
Prediction.
Unit 5. Index Numbers
Index numbers: definition, types, and properties.
Simple and composite indices. Laspeyres and Paasche indices.
Impact and contribution of a good to the variation of an index.
Deflation of economic series.
Linking and rebasing of series.
Unit 6. Time Series
Definition and components.
Determination of trend and seasonality. Moving averages and seasonal variation indices.
Prediction.
Unit 7. Introduction to Probability
Operations with events.
Definitions of probability. Axiomatic definition of probability (Kolmogorov).
Multiplication rule. Total probability theorem and Bayes' theorem.
Practical Sessions
Construction of frequency distributions and their graphical representation using a spreadsheet. Problem solving. Calculation of main descriptive measures using a spreadsheet. Related problem solving. Construction of index numbers (simple and composite), rates of change, impact, and contribution using a spreadsheet. Related problem solving. Construction of bivariate distributions and calculation of covariance using a spreadsheet. Related problem solving. Descriptive analysis of time series. Calculation of trend and seasonal variation indices using a spreadsheet. Related problem solving. Problem solving involving probability calculations.
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") under the "Act in an Emergency" section, "Technical Guides" tab, 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, in the "Act in an Emergency", sectionrecommendations 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.
Class in conventional classroom: theory, problems, case studies, seminars, etc
Explanation of the main theoretical concepts.
Use of different descriptive data analysis techniques
Organize the collection, organization, and descriptive analysis of data
Argue and make decisions based on information analysis
Solve problem sheets corresponding to each unit throughout the academic year.
Use of different descriptive data analysis techniques
Ability to make decisions based on information analysis
Demonstrate communication skills in presenting results and writing technical reports
LEARNING OUTCOME RA34 AND RA4
60
100
Class in a computer classroom: practical classes / internships
Practical classes in the computer lab. Solving exercises using software.
LEARNING OUTCOME RA4
12
100
Continuous assessment activities during class hours.
Exams and quizzes to be completed by students throughout the academic year.
Use of different descriptive data analysis techniques
Ability to organize the collection, organization, and descriptive analysis of data
Ability to make decisions based on information analysis
Ability to communicate results and write technical reports
LEARNING OUTCOME RA34 AND RA4
3
100
Final and ongoing assessment activities outside class hours.
Oral or written exams, individual or in groups, to assess the knowledge acquired.
LEARNING OUTCOME RA4
3
100
Tutorials
Advising students on the development of a report to be submitted at the end of the course (20% of the final grade).
Answering students' questions that may arise after theoretical or practical classes.
Knowledge of different descriptive data analysis techniques.
Ability to communicate results and write technical reports.
8
50
Student work: study or individual or group work
Develop and write a statistical report based on a practical case with data.
Use different descriptive data analysis techniques.
Organize the collection, organization, and descriptive analysis of data.
Argue and make decisions based on information analysis.
Demonstrate teamwork skills in specific and multidisciplinary topics.
Demonstrate communication skills in presenting results and writing technical reports.
Independent study of the concepts explained in theoretical classes.
Solve the problems proposed by the instructor.
101.5
0
Spoken or written exams
CONTINUOUS ASSESSMENT:
A midterm exam will be held each semester.
Exams will be graded on a scale from 0 to 10 points.
Each midterm consists of two parts, each graded out of 10 points:
a multiple-choice test with 10 questions and 2 exercises.
Multiple-choice exams may include a penalty for incorrect answers, equal to or greater than the probability of guessing the correct answer at random.
FINAL ASSESSMENT:
Students who do not pass the course through continuous assessment will have the opportunity to sit for the final (global) exams of the subject, which will take place on the dates scheduled during the months of June and July.
The grade obtained in these final exams will represent 80% of the final course grade.
These assessments are intended to verify the acquisition of learning outcomes RA34 AND RA4
80 %
Participation and involvement in the teaching-learning process
Preparation of a quantitative report based on the analysis of a dataset chosen by the student.
This assessment is intended to verify the acquisition of learning outcomes RA34 AND RA4
10 %
Presentation and defence of assignments
Presentation of the quantitative report and delivery of exercises proposed by the profess. Participation in class activities.
This assessment is intended to verify the acquisition of learning outcomes RA34 AND RA4
10 %
Correspondence between continuous and final assessment: In the final assessment system, the weightings of SE2 and SE3 from the continuous assessment are incorporated into the weighting of SE1 (exams) in the final assessment.
Author: Martin Pliego, F. Javier
Title: Introducción a la estadistica económica y empresarial (teoría y práctica)
Editorial: Editorial AC
Publication Date: 2004
ISBN: 8472881385
Author: Newbold, Paul.
Title: Estadística para administración y economía /
Editorial:
Publication Date: 2013
ISBN: 9788415552215
Author: Uriel Jiménez, Ezequiel
Title: Estadistica económica y empresarial.Teoria y ejercicios
Editorial: AC
Publication Date: 1988
ISBN: 8472881474
Author: Gibilisco, Stan.
Title: Statistics demystified
Editorial: McGraw-Hill,
Publication Date: 2004
ISBN: 0071431187
Author: Sachs, Lothar.
Title: Applied Statistics
Editorial:
Publication Date:
ISBN: 9781461252467|99781461252467
Author: Goos, Peter,
Title: Statistics with JMP: graphs, descriptive statistics and probability /
Editorial:
Publication Date:
ISBN: 9781119035749
Author: Casas Sánchez, José M.
Title: Estadística económica y empresarial: distribuciones e inferencia
Editorial: Madrid |: b Ramón Areces | c,
Publication Date: 2014
ISBN: 9788499610054