Statistical Methods applied to Management

Recommended Prerequisites

Knowledge of Basic mathematics and basic statistical concepts

Teaching Methods

Theoretic-practical lessons. There will be formerly presented a set of tools that allows statistical inference. Its exemplification shall be done with practical cases and with empirical applications in SPSS. A set of proposed exercicies are meant to be solved by the students during class.

Learning Outcomes

The main goal is to provide the students basic knowledge that allows them to perform statistics analyses in Management and Economy. The students should be able to understand, apply and select the set of statistical instruments that they need and interpret the results correctly. The course unit also aims to familiarize the students with Statistics support software, particularly how to interpret SPSS outputs. At the end, this course wants students to understand the relevant role palyed by statistical analysis in management, especially in the decision amking process.

Work Placement(s)

No

Syllabus

The main blocs are:

1. Basic statistics concepts.

This part is intended to familiarize the students with the statistical rudiments necessary to better understand and execute statistical inference.

2. Statistical inference: confidence intervals and tests for one sample and two samples (mean and proportion).

 Analysis of the variance- ANOVA.

Here the classic tools of statistical inference are presented (tests and confidence intervals), highlighting means and proportions because of the introductory nature and relevance they have in statistics applied to Management.

3. Regression analysis: topics on simple and multiple regression. 

 Here the typical tool for analyzing causal relationships between variables is presented. Simple regression introduces the theme and within the multiple regression the interpretation of results is discussed, basic tests are presented, and some particular problems in sectional data are discussed, like heteroskedasticity and multicolinearity.

Head Lecturer(s)

Rodrigo Caldeira Almeida Martins

Assessment Methods

Assessment
Exam: 100.0%

Bibliography

McCLAVE, James T. ; BENSON, P. George ; SINCICH, Terry - Estatística para administração e economia. São Paulo: Pearson/Prentice-Hall, 10th ed. 2011. [BP 519.2 MCC]

PESTANA, Maria Helena ; GAGUEIRO, João Nunes - Análise de dados para ciências sociais: a complementaridade do SPSS. 6ª ed., rev. e aument.. Lisboa : Edições Sílabo, 2014. [BP 519.6 PES]

Rocha, Humberto;  Martins, Rodrigo; Pascoal, Rui -  Estatística descritiva para as ciências sociais. Lisboa: Edições Sílabo, 2021. [BP 519.2 ROC ]

WOOLDRIDGE, Jeffrey M. - Introductory econometrics: a modern approach. 6th ed. [South Melbourne?]: South-Western/Cengage Learning, 2016. [BP 519.8 WOO]