esade

Estadística Descriptiva y Probabilidad (2225.YR.003360.3)

Datos generales

Tipo:

 BAS

Curso:

 1

Periodo:

 S semestre

Créditos ECTS:

 6 ECTS

Profesorado:

Grupo Profesor Departamento Idioma
Year 1 Núria Agell Jané Operaciones, Innovación y Data Sciences CAT, ENG, ESP

Prerrequisitos

Applied Mathematics for Management

Conocimientos previos

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

Distribución de la carga de trabajo

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

Contribución de la asignatura al programa

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.

Objetivos de aprendizaje de la asignatura

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.

Contenidos

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.

Metodología

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.

Criterios de evaluación

Class participation, interaction, and teamwork
Individual continuous assessment (individual exercises)
Cases preparation and discussion (group activity)
Peer Evaluation
Quizzes
Final exam Units 1 and 2
Final exam Units 3 and 4
Case assignment presentation

Bibliografía

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

Horarios y secciones

Grupo Profesor Departamento
Year 1 Núria Agell Jané Operaciones, Innovación y Data Sciences

Horario Year 1

Del 30/1/2023 al 27/2/2023:
Cada lunes de 17:30 a 20:00.
Cada jueves de 17:30 a 18:30.
Cada jueves de 18:30 a 20:00.

Del 6/3/2023 al 13/3/2023:
Cada jueves de 17:30 a 20:00.
Cada lunes de 8:45 a 12:45. (Excepto: 6/3/2023)
Cada lunes de 8:45 a 12:00. (Excepto: 6/3/2023)
Cada lunes de 18:30 a 20:00. (Excepto: 13/3/2023)
Cada lunes de 17:30 a 18:30. (Excepto: 13/3/2023)

Del 20/3/2023 al 30/3/2023:
Cada jueves de 17:30 a 20:00.
Cada lunes de 18:30 a 20:00.
Cada lunes de 17:30 a 18:30.

Del 13/4/2023 al 2/5/2023:
De lunes a martes de 17:30 a 20:00. (Excepto: 18/4/2023, 25/4/2023 y 1/5/2023)
Cada jueves de 17:30 a 18:30.
Cada jueves de 18:30 a 20:00.

Del 4/5/2023 al 10/5/2023:
Cada jueves de 17:30 a 20:00.
Cada miércoles de 8:45 a 12:00.