Estadística Descriptiva y Probabilidad (2225.YR.003360.2)

Datos generales

Tipo:	BAS	Curso:	1	Periodo:	S semestre
Créditos ECTS:	6 ECTS

Profesorado:

Grupo	Profesor	Departamento	Idioma
Year 1	Jordi Montserrat Adell	Operaciones, Innovación y Data Sciences	ESP

Applied Mathematics for Management

Maths Calculus and graphs
A basic level of excel is required for this course

Distribución de la carga de trabajo:
Lectures and discusion sessions 15 hours
Participatory sessions 45 hours
Autonomous work 90 hours

Statistics is an essential tool for decision-making in environments where the amount of data and/or level of uncertainty do not allow the information contained to be extracted directly. This course provides some of the theoretical and practical foundations needed for decision-making in the face of uncertainty.

After completing this course, students should be able to:

Use statistical reasoning for its practical applications.
Understand the different branches of Statistics and its concepts and techniques to be able to use them in the appropriate situations.
Relate the course to other courses being studied and their future professional career.
Summarize the information provided by a set of data using descriptive, univariate and bivariate statistical techniques.
Prepare descriptive statistical reports.
Use probabilities calculations and probability models to make decisions.

Apply the techniques learnt in an ethical manner.

1. Descriptive Statistics Topic 1. Unidimensional descriptive statistics (Summary Tables and Graphs). Topic 2. Unidimensional descriptive statistics (Central tendency and variability measures). Topic 3. Bidimensional descriptive statistics.

2. Probability Topic 4. Introduction to probability. Topic 5. Conditional probability and decision-making analysis.

3. Discrete random variables Topic 6. Concept of discrete random variables. Topic 7. Discrete models.

4. Continuous random variables Topic 8. Concept of continuous random variables. Topic 9. Continuous models. Topic 10. Central limit theorem.

To achieve the objectives of the course, the format of it will be based on a mix of autonomous work and class sessions.
Autonomous work provides students with competencies such as self-management, highly valued in the current working environment.
Class sessions will be divided into lectures and participatory sessions where students will work individually or in small groups.
Excel will be used during the course to analyze data and summarize information.
Please check the course table guide document to understand the required preparation prior and after each session.

Newbold, P. (2013). Statistics for business and economics. Pearson

Grupo	Profesor	Departamento
Year 1	Jordi Montserrat Adell	Operaciones, Innovación y Data Sciences