Estadística Descriptiva y Probabilidad (18BBA40000)
General information
Type: |
BAS |
Curs: |
1 |
Period: |
S semester |
ECTS Credits: |
6 ECTS |
Teaching Staff:
Group |
Teacher |
Department |
Language |
Sec: A |
Rosa Varela Otero |
Ciencias Sociales |
CAT |
Group |
Teacher |
Department |
Language |
Sec: B |
Rosa Varela Otero |
Ciencias Sociales |
ESP |
Sec: B |
David Roche Valles |
Operaciones, Innovación y Data Sciences |
ESP |
Group |
Teacher |
Department |
Language |
Sec: C |
Rosa Varela Otero |
Ciencias Sociales |
CAT |
Sec: C |
Jordi Montserrat Adell |
Operaciones, Innovación y Data Sciences |
CAT |
Prerequisites
Mathematics
Previous Knowledge
The concepts of real function, continuity and derivability and their applications.
The concept of the definite integral. Calculating primitives of elementary functions.
Workload distribution
Workload distribution:
Lectures: 45 hours
Participatory sessions: 15 hours
Independent study: 90 hours
COURSE CONTRIBUTION TO PROGRAM
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.
Course Learning Objectives
Upon completing this course students should be able to:
- Use statistical reasoning for its practical applications.
- Understand the different branches of Statistics and their 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.
- Summarise the information provided by a set of data using descriptive, univariate and bivariate statistical techniques.
- Prepare descriptive statistical reports.
- Use probabilities calculation and probability models to make decisions.
- Apply the techniques learnt in an ethical manner.
Competences
18. Teamwork and collaboration |
CONTENT
1. Introduction |
2. Descriptive statistics
|
3. Probability
|
4. Random variables: discrete case |
5. Continuous random variables
|
Methodology
Assessment criteria
Tests, mid-term exam, class participation and exams
Bibliography
Short bibliography:
Newbold, P., Carlson, W.L. & Thorne, B. (2013). Estadística para administración y economía. Ed. Pearson - Prentice Hall
This book may be considered the course textbook. Throughout the course, reference will be made to different chapters in this text both with regard to theoretical issues and to complete the assignments.
Timetable and sections
Group |
Teacher |
Department |
Sec: A |
Rosa Varela Otero |
Ciencias Sociales |
Timetable Sec: A
Group |
Teacher |
Department |
Sec: B |
Rosa Varela Otero |
Ciencias Sociales |
Sec: B |
David Roche Valles |
Operaciones, Innovación y Data Sciences |
Timetable Sec: B
Group |
Teacher |
Department |
Sec: C |
Rosa Varela Otero |
Ciencias Sociales |
Sec: C |
Jordi Montserrat Adell |
Operaciones, Innovación y Data Sciences |
Timetable Sec: C