Descriptive Statistics & Probability (2215.YR.003360.3)
General information
Type: |
BAS |
Curs: |
1 |
Period: |
S semester |
ECTS Credits: |
6 ECTS |
Teaching Staff:
| Group |
Teacher |
Department |
Language |
| Year 1 |
Núria Agell Jané |
Operaciones, Innovación y Data Sciences |
CAT, ESP |
Prerequisites
Mathematics
Previous Knowledge
Concepts related to variable functions.
Concepts related to probability calculations.
Workload distribution
Workload distribution:
Lectures: 15 hours
Participatory sessions: 45 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 the level of uncertainty do not allow extracting the information they contain directly. This subject 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, their concepts and techniques to be able to use them in the appropriate situations.
- Relate this subject 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. 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. Random variables: discrete case Topic 6. Discrete random variables concept.
Topic 7. Discrete models.
|
4. Continuous random variables Topic 8. Continuous random variables concept.
Topic 9. Continuous models.
Topic 10. Central limit theorem.
|
Methodology
"Statistics everywhere": examples which include case studies to be able to apply statistical techniques
"Applied statistics": classes with practical exercises
Theoretical-practical sessions
Assessment criteria
20% - Tests/assessed activities
15% - Participation
65% - Exams
Bibliography
Short bibliography:
Newbold, P., Carlson, W.L. & Thorne, B. (2013). Estadística para administración y economía. Ed. Pearson - Prentice Hall
This book can be considered the course textbook. Throughout the course, faculty will refer to different chapters in this text both with regard to theoretical issues and to complete the assignments.
Timetable and sections
| Group |
Teacher |
Department |
| Year 1 |
Núria Agell Jané |
Operaciones, Innovación y Data Sciences |
Timetable Year 1
From 2022/2/7 to 2022/3/11:
Each Monday from 8:00 to 9:00.
Each Thursday from 8:00 to 10:30.
Each Friday from 16:00 to 17:30. (Except: 2022/2/11, 2022/2/18, 2022/2/25 and 2022/3/4)
Each Monday from 9:00 to 10:30.
From 2022/3/11 to 2022/3/21:
Each Friday from 17:00 to 18:30. (Except: 2022/3/18)
Each Monday from 9:45 to 14:15. (Except: 2022/3/21)
Each Monday from 9:45 to 13:15. (Except: 2022/3/21)
Each Friday from 18:30 to 20:00. (Except: 2022/3/18)
Each Monday from 9:00 to 10:30. (Except: 2022/3/14)
From 2022/3/21 to 2022/4/7:
Monday and Thursday from 8:00 to 9:00. (Except: 2022/3/24, 2022/3/31 and 2022/4/4)
Each Thursday from 8:00 to 10:30. (Except: 2022/4/7)
Each Monday from 9:00 to 10:30. (Except: 2022/4/4)
From 2022/4/7 to 2022/4/28:
Each Thursday from 8:00 to 10:30. (Except: 2022/4/7 and 2022/4/14)
Each Thursday from 9:00 to 10:30. (Except: 2022/4/14, 2022/4/21 and 2022/4/28)
From 2022/4/21 to 2022/5/11:
Each Monday from 8:00 to 9:00. (Except: 2022/5/9)
Each Thursday from 8:00 to 10:30.
Each Wednesday from 8:45 to 12:00. (Except: 2022/4/27 and 2022/5/4)
Each Monday from 9:00 to 10:30. (Except: 2022/5/9)
Wednesday 2022/5/11 from 8:45 to 12:45.
Monday2022/6/27:
From 8:45 to 12:45.
From 8:45 to 12:00.
