Degree in Management of Business and Technology La Salle Campus Barcelona

Degree in Management of Business and Technology

Internationality, technology, innovation, creativity, entrepreneurship, values, and both people and team management are the keys to define this degree. Includes international stages.

Mathematics for Business II

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Description
The course is structured as an introduction to statistical methods and their applications in the area of business and management. Statistics is used in a wide range of disciplines and areas, and the methods and techniques that we will discuss in this course particularly appeal to business. In each topic, we will deal with the basic principles while emphasizing their applications to real and practical cases. Statistics is not about memorizing formulas or knowing how to use a calculator, but identifying which method suits best to find a solution to the problem we are facing. Being a branch of Mathematics, knowledge is cumulative. It is almost impossible to understand a concept in Statistics if the previous one is not well understood. The course is structured so that the students apply the theoretical concepts on a set of practical cases and a project, which allows to employ all the methods and techniques learned. The objective of this course is to provide students with the necessary statistical tools to carry out basic descriptive and inferential analysis. Upon completion of the course,students will be able to understand and carry out basic techniques of descriptive and inferential statistics.
Type Subject
Primer - Obligatoria
Semester
Second
Course
1
Credits
3.00

Titular Professors

Albert Cubeles Màrquez
Professor

Professors

Albert Cubeles Màrquez
Chloé Mayer
Andrea Gastón Codony
Objectives

The learning outcomes are:
- Describing and visualizing data
- Looking for relations between data
- Learning discrete y continuous distributions
- Building confidence intervals and designing research on hypothesis testing

Contents

The subject is structured in four thematic blocks:
1. Descriptive statistics: Types of data and variable. Describing and visualizing data. Measures of centrality. Measures of dispersion.
2. Probability: Probability and combination. Random variables. Binomial distribution & Bernoulli. Normal distribution.
3. Hypothesis testing: Sampling distribution. Population estimation. Confidence intervals. Hypothesis testing.
4. Correlation and regression: Correlation between variables. Least square regression análisis.

Methodology

Weekly teaching will consist of one lecturing session to explain basic concepts and lab session to apply knowledge to practical situations. Practice sessions are for problem solving.

Evaluation

Continuous assessment has the following evaluation structure:
Midterm Exam 25%
Group assignments grade 25%
Project 40% (30% Document and 10% presentation)
Attendance & participation 10%

Basic Bibliography

Fundamentals of Business Statistics, Sweeney, D. Williams, T. & Anderson, D. Cengage Learning; 6th edition 2011.

Additional Material

Other textbooks that you can use are:
Basic Statistics for Business & Economics, by Douglas A. Lind, William G. Marchal, and Samuel A. Wathen. McGraw-Hill, 5th edition, 2006 (international edition).