Statistics for Economics and Management I

Recommended Prerequisites

Mathematics for Economics and Management I

Teaching Methods

Exposition of matters and presentation of illustrative examples taking recourse to data show. Resolution of practical exercises that illustrate and complements the matters presented in the theoretical classes. 

Learning Outcomes

Overall objectives

It is expected that the student be able to do exploratory analysis of data using numerical and graphical methods, so that the most relevant aspects may be identified, with potential use in Management and Economics. He should understand concepts and be able to do some calculations concerning probabilities and Random Variables.

Specific objectives

Characterization of the distribution of a statistical variable with the aim at taking decisions. Relations between the values of one or more statistical variables. Knowledge of basic definitions and results on probabilities and random variables.

Generic competencies

Capacity for: analysis and synthesis, oral and written communication, problem solving, applying knowledge in practice.

Specific competencies Ability to: do logic and deductive thinking, use intuition to solve problems, use graphical representations to interpret results, resume and take conclusions on the data aiming at decision.

Work Placement(s)

No

Syllabus

1          DescriptiveStatistics

1.1       IntroductoryConcepts

1.2Frequency Distributions

1.2.1 Frequency Tables and empirical distribution function

1.2.2 Graphical representation

1.2.3Measures concerning a distribution (localization, absolute and relative dispersion, skewness and kurtosis, concentration analysis

1.3 index numbers

1.3.1 Introduction

1.3.2 Elementary index and composed index

1.3.3 Laspeyres, Paasche and Fisher indexes

1.3.4 Inflation index

1.3.5 Fixed base index and moving base index

1.3.6 Base change; Index conciliation

1.3.7 Issues on index number construction

2. Probabilities and random variables

2.1 Probabilities

2.1.1 Experiments and events

2.1.2 Definitions of probability

2.1.3 Independence and  dependence; conditioning

2.1.4 Bayes formula

2.2 Random variables

2.2.1 Definition

2.2.2 Classification

2.2.3 Probability, density and distribution functions

2.2.4 Change of variable

2.2.5 Moments; moment generating function

2.2.6 Quantiles 

Head Lecturer(s)

Pedro André Ribeiro Madeira Cerqueira

Assessment Methods

Assessment
Exam: 100.0%

Bibliography

ROCHA, Humberto; MARTINS, Rodrigo; PASCOAL, Rui - Estatística Descritiva para as Ciências Sociais, Edições Sílabo, Lda. 1.ª Edição – Lisboa, setembro de 2021.

ANDERSON, David Ray; SWEENEY, Dennis J. ; WILLIAMS, Thomas A. - Estatística aplicada à administração e economia. 2ª ed.. São Paulo : ThomsonLearning, 2007.

FIGUEIREDO, Fernanda; Adelaide; Ramos, Alexandra; Teles, Paulo - Estatística descritiva e probabilidades: problemas resolvidos e propostos com aplicações em R. Escolar Editora, 2009.

MURTEIRA, Bento — Análise exploratória de dados : estatística descritiva. Lisboa : Editora McGraw-Hill de Portugal, 1996.

MURTEIRA, Bento ; BLACK, George Hubert Joseph — Estatística descritiva. Lisboa : Editora McGraw-Hill de Portugal, 1983.

MURTEIRA, Bento — Probabilidades e estatística. Lisboa: Editora McGraw-Hill de Portugal, 1990.

MURTEIRA, Bento ; Ribeiro, Carlos Silva; Silva, João Andrade; Pimenta, Carlos - Introdução à estatística. Escolar Editora, 2015.