Statistics

Base Knowledge

Quantitative Methods Applied to Business Sciences,

Teaching Methodologies

The classes are theoretical and practical, according to the curricular plan.

Theoretical component: explanation of the subjects and resolution of illustrative examples.

Practical component: resolution of practical exercises that illustrate and complement the subjects presented in the lectures, under the guidance of the teacher, but encouraging autonomous resolution.

 

Learning Results

Goals:

Ability to explore data using numerical  and graphical methods, in order to identify the most relevant aspects, with application in the area of Management and Economics. 

Skills:

Ability for analysis and synthesis, oral and written communication, problem solving and application of knowledge in practice.

Program

1.   One-dimensional descriptive statistics 

1.1 Introduction

1.2 Data representation,

1.3 Location measures

1.4 Dispersion measures

1.5 Shape measures

2.   Distributions 

2.1 Introduction

2.2 Basic concepts of probability theory

2.3 Discrete and continuous random variables

2.4 Parameters of distributions

2.5 Theoretical discrete distributions

2.6 Theoretical continuous distributions)

3.   Sampling

3.1 Sampling methods

3.2 Central limit theorem

4.   Parametric Estimation 

4.1 Introduction

4.2 Point Estimation: Estimation methods and estimator properties

4.3 Interval Estimation: Confidence intervals construction

5.   Parametric hypothesis tests 

5.1 Location tests

5.2 Dispersion tests

6.   Linear regression model 

6.1 Introduction

6.2 Simple linear regression model

6.3 Correlation and determination coefficients

6.4 Prediction

Curricular Unit Teachers

Internship(s)

NAO

Bibliography

Main:

Murteira, B. et al (2015). Introdução à Estatística. 3ªEd, Escolar Editora.

Newbold, P., Carlson, W. & Thorne, B. (2022). Statistics for Business and Economics, Global Edition, Pearson Education Limited.

Paulino, C.D. e Branco, J. (2005). Exercícios de Probabilidade e Estatística. Escolar Editora.

Pedrosa, A. e Gama, S. (2016). Introdução computacional à Probabilidade e Estatística, 3ª Ed. Porto Editora.

Webster, A.L. (2007). Estatística aplicada à Administração e Economia. McGraw-Hill.

 

Supplementary:

Anderson, D.R., et al (2017). Statistics for business and economics, 13e.  Cengage Learning.

Curto, J.D. (2016). Estatística: muitas aplicações em Excel e poucas fórmulas. Edição do Autor.

Keller; G. and Gaciu, N. (2020). Statistics for management and economics. 2e. Cengage Learning EMEA.