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Inicio / Estudios / Grado en Administración y Dirección de Empresas - Plan 2024 / Plan de Estudios

Course Unit Description

BUSINESS STATISTICS II

Course 2025-26

  • On-site

1.Subject data

Name: BUSINESS STATISTICS II

Code: 510202004

Type: Compulsory

ECTS: 4.5

Length of subject: Per term

Semester and course: 2nd Year - First term

Speciality:

Language: English

Mode of study: On-site class

2. Lecturer data

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, G2

3. Competences and learning outcomes

3.1. Basic curricular competences related to the subject

3.2. General curricular competences related to the subject

3.3. Specific curricular competences related to the subject

3.4. Transversal curricular competences related to the subject

3.5. Subject learning outcomes

1.-Collect, organize, and describe business data using appropriate univariate and bivariate statistical tools.

2.- Interpret frequency distributions, compute and explain measures of central tendency, dispersion, shape, and concentration, including the Gini Index.

3.- Analyze relationships between variables through correlation and regression (both linear and non-linear).

4.- Build and interpret index numbers

5.- Perform time series analysis to detect trends and seasonality, and apply forecasting techniques.

6.-Apply probability theory to solve problems involving uncertainty.

7.- Communicate statistical results effectively in oral and written form.

8.- Make data-driven decisions and draw conclusions based on statistical reasoning.

4. Contents

4.1 Curricular contents related to the subject

Variables aleatorias continuas y discretas. Distribuciones de probabilidad. Teoría de muestras. Inferencia estadística. Intervalos de confianza. Contrastes de hipótesis.

4.2. Theory syllabus

Teaching modules

Units

curso 2025-2026

Tema 1: Variable aleatoria.
Tema 2: Características de las variables aleatorias.
Tema 3: Distribuciones de probabilidad.
Tema 4: Introducción a la Inferencia estadística: Teoría de muestras.
Tema 5: Estimación por Intervalos de confianza.
Tema 6: Test de hipótesis estadísticas

4.3. Practice syllabus

Name

Description

Risks prevention

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.

4.4. Comments

5. Teaching method

Name

Description

Hours

In-class

Name

Class in conventional classroom: theory, problems, case studies, seminars, etc

Description

Explanation of the main theoretical concepts to acquire the competences CG1 and CG2 and the learning outcomes 1, 2, 3, 4, and 5

Solve exercise sets that correspond to each unit throughout the academic year allowing the acquisition of CG1. CG2 and CE15 and the outcomes of learning 1, 2, 3, 4, and 5.

Hours

41

In-class

100

Name

Assessment activities (continuous assessment system)

Description

Exams and questionnaires that should be solved by students throughout the academic year to determine the acquisition of CG2

CT5 and CE15 and the results of learning 1, 2, 3, 4, and 5.

Hours

4

In-class

100

Name

Assessment activities (final assessment system)

Description

Final exam to assess the knowledge acquired

Hours

4

In-class

100

Name

Tutorials

Description

Advise students on the development of a report to be delivered at the end of the course (until 20% of the final grade).

Answer questions that may arise after theory classes or practices to students.

Hours

6

In-class

50

Name

Student work: study or individual or group work

Description

Autonomous study of the concepts explained in the theoretical classes.

Solve the problems proposed by the teacher. Develop and write a statistical report referring to case study with data. CG1, CG2,

CT5 and CE15 and the results of learning 1, 2, 3, 4, and 5.

Hours

57.5

In-class

0

6. Assessment method

6.1. Continous assesment system

Name

Description and criteria

Percentage

Name

Spoken or written exams

Description and criteria

There will be two mid-term exams during the semester.

The evaluation of the midterm exams on the final grade of the course will be as follows:

Each midterm exam will account for 40% of the final grade of the course.

Its evaluation will allow the verification of the the learning outcomes 1,2,3,4, and 5.

Each partial exam will consist of 2 parts: Test with 10 multiple choice questions and 2 exercises

To pass the exam it is necessary to obtain at least 3 points (out of 10) in each part The multiple choice exams may include a penalty for incorrect answers equal or higher than the probability of getting the answer right at random.

Percentage

80 %

Name

Participation and involvement in the teaching-learning process

Description and criteria

Report about the contents of the subject using real data. Acquisition of the che learning outcomes from 1 to 8

Percentage

10 %

Name

Presentation and defence of assignments

Description and criteria

Attend classes and actively participate asking questions and making proposals, the acquisition of the learning outcomes 1,2,3,3,4, and 5.

Percentage

10 %

6.2. Final assesment system

Name

Description and criteria

Percentage

Name

Spoken or written exams

Description and criteria

Final exam about the contents of the subject will allow the verification of the acquisition of the learning outcomes 1,2,3,4, and 5.

Correspondence between continuous and final assessment: In the final assessment system, the

weightings of SE2 and SE4 from the continuous assessment are incorporated into the weighting of

SE1 (exams) in the final assessment

Percentage

80 %

Name

Participation and involvement in the teaching-learning process

Description and criteria

Learning outcomes 7 and 8 will be assessed through the quantitative report that the student is required to submit, as specified in SE2 of the continuous assessment system. Students may resubmit the quantitative report prior to the final exam. In such cases, only the new grade will be considered; the previous grade from continuous assessment will be disregarded. For components not being resubmitted, the original marks from the continuous assessment will be retained. Grades obtained in the final assessment system will not be carried over to the resit (extraordinary) exam

Percentage

10 %

Name

Presentation and defence of assignments

Description and criteria

The student(s) will be required to present and defend the quantitative report outlined in SE2 of the continuous assessment system during an individual interview with the instructor. This learning outcomes 7 and 8 and corresponds to SE4 within the continuous assessment framework.

Percentage

10 %

Information

Comments

Correspondence between continuous and final assessment: In the final assessment system, the

weightings of SE2 and SE4 from the continuous assessment are incorporated into the weighting of

SE1 (exams) in the final assessment

7. Bibliography and resources

7.1. Basic bibliography

Author: Murgui Izquierdo, J. Santiago
Title: Estadística aplicada economía y ciencias sociales: inferencia estadística
Editorial: Tirant lo Blanch
Publication Date: 1994
ISBN: 848002187

Author: Novales Cinca, Alfonso
Title: Estadística y econometría
Editorial: McGraw-Hill
Publication Date: 2001
ISBN: 8448107985

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: Cao Abad, Ricardo
Title: Introducción a la simulación y a la teoría de colas
Editorial: Netbiblio
Publication Date: 2002
ISBN: 8497450175

7.2. Supplementary bibliography

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