Statistical intuitions and Applications (2235.YR.014955.1)

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	ENG

-Basic on Maths
-Basic on Stats

This is a 6 ECTS course, which means that students are expected to dedicate approximately 150 hours of workload. (25 hours per ECTS). This workload encompasses expositive sessions, participatory sessions and synchronous or asynchronous autonomous student work, study time, or any other time dedicated to the subject.

Statistics is an essential tool for decision-making in environments where we work with random data. This course provides some of the theoretical and practical foundations necessary to adequately address decision-making in the face of uncertainty. Students will become familiar with data analysis, probability, random variables, and statistical Inference. Students may be asked to use Excel or other tools during the course to solve problems.

After taking this subject, students should be able to:

- Use statistical reasoning in its practical applications.
- Understand the different branches, concepts and statistical techniques to be able to use them in appropriate situations.
- Relate the subject with the other subjects of the studies and of their future professional life.
- Summarize information from a data set using univariate and bivariate descriptive statistical techniques.
- Prepare descriptive statistical reports.
- Use the calculation of probabilities and probability models in decision-making.
- Apply the techniques learned in an ethical way

1. Descriptive Statistics Topic 1. Random Variables: Summary Tables and Graphs. Topic 2. Central tendency and variability measures Topic 3. Relationship between two random variables. Topic 4. Simple and multiple regression

2. Probability Topic 4. Introduction to probability. Topic 5. Conditional probability and Bayes theorem

3. Random Variables Topic 6. Discrete random variables models Topic 7. Continuous random variables models. Topic 8. Central Limit theorem

4. Inference Topic 9. General view of inference Topic 10. Confidence Interval & Hypothesis test for the mean Topic 11. Confidence Interval & Hypothesis test for the proportion Topic 12. Confidence Interval & Hypothesis test (2 variables)

Two type of sessions:

Sessions type A will be to introduce each topic (1 hour / per topic) and will consists on:
- Lecture sessions where will introduce the framework and content of each topic
- Introduce cases to be solved in groups.

Sessions Type B sessions we work on "Applied Statistics" ( 2hours / topic)
- Participatory sessions to help students in the comprehension of each topic
- To discuss cases and solve exercises.

Newbold, P.; Thorne, B. ; Carlson, W. L.; (2022). Statistics for Business and Economics. Global Edition. Ed. Pearson - Prentice Hall

This book is considered as a course textbook and during the course reference may be made to different chapters or part of its content.

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