Descriptive Statistics & Probability (2225.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, ENG, ESP |
Prerequisites
Applied Mathematics for Management
Previous Knowledge
Maths, calculus and graphs
A basic understanding of Excel is required for this course
Workload distribution
Workload distribution:
Lectures and discussions: 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 directly extracting the information contained. 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 they are studying and their future professional careers.
- Summarize the information provided by a set of data using descriptive, univariate and bivariate statistical techniques.
- Prepare descriptive statistical reports.
- Use probability calculations and models to make decisions.
- Ethically apply the techniques studied.
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.
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2. Probability Topic 4. Introduction to probability.
Topic 5. Conditional probability and decision-making analysis
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3. Random variables: discrete case Topic 6. Discrete random variables concept.
Topic 7. Discrete models.
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4. Continuous random variables Topic 8. Continuous random variables concept.
Topic 9. Continuous models.
Topic 10. Central limit theorem.
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Methodology
To achieve the objectives of this course, the methodology is based on a combination of independent study and class sessions.
The independent study component helps students develop competencies such as self-management, which is highly valued in today's working environment.
Class sessions will be divided into lectures and participatory sessions where students will work individually or in small groups.
We will use Excel during the course to analyze data and summarize information.
Students also need to check the course guide to see what they have to prepare and study before and after each session.
Assessment criteria
Class participation, interaction and teamwork
Individual ongoing assessment (individual exercises)
Case study preparation and discussions (group activity)
Peer evaluation
Quizzes
Final exam (units 1 and 2)
Final exam (units 3 and 4)
Case assignment presentation
Bibliography
Short bibliography:
- Newbold, P. (2013). Statistics for business and economics. Pearson
Timetable and sections
| Group |
Teacher |
Department |
| Year 1 |
Núria Agell Jané |
Operaciones, Innovación y Data Sciences |
Timetable Year 1
From 2023/1/30 to 2023/2/27:
Each Monday from 17:30 to 20:00.
Each Thursday from 17:30 to 18:30.
Each Thursday from 18:30 to 20:00.
From 2023/3/6 to 2023/3/13:
Each Thursday from 17:30 to 20:00.
Each Monday from 8:45 to 12:45. (Except: 2023/3/6)
Each Monday from 8:45 to 12:00. (Except: 2023/3/6)
Each Monday from 18:30 to 20:00. (Except: 2023/3/13)
Each Monday from 17:30 to 18:30. (Except: 2023/3/13)
From 2023/3/20 to 2023/3/30:
Each Thursday from 17:30 to 20:00.
Each Monday from 18:30 to 20:00.
Each Monday from 17:30 to 18:30.
From 2023/4/13 to 2023/5/2:
From Monday to Tuesday from 17:30 to 20:00. (Except: 2023/4/18, 2023/4/25 and 2023/5/1)
Each Thursday from 17:30 to 18:30.
Each Thursday from 18:30 to 20:00.
From 2023/5/4 to 2023/5/10:
Each Thursday from 17:30 to 20:00.
Each Wednesday from 8:45 to 12:00.
