Análise de Dados para Empreendedorismo

Imagem d@ João Dionisio Monteiro [Ficheiro Local]
João Dionisio Monteiro
Código:
17350
Ano:
1
Semestre:
S1
Créditos ECTS:
6
Carga Horária:
OT(15H)/TP(30H)
Área Científica:
Gestão
Mode of delivery:
face-to-face
Work placements:
not applicable
Learning outcomes:
With this curricular unit it is intended that the students deepen the fundamental knowledge of statistics for analysis of real data, oriented to the Marketing area. It is also essential to develop essential data processing skills to support research.
Students should:
- Understand and apply the basic concepts of Descriptive Statistics, Sampling and Statistical Inference;
- Apply these methods to real problems and situations;
- Understand and apply other statistical techniques to support the development of research work (regression analysis, Analysis of variance of one or more factors, factorial analysis, contingency tables and Chi-square tests, Discriminant Analysis)
Syllabus:
1. INTRODUCTION TO DATA ANALYSIS: Descriptive Statistics, Sampling Processes, Statistical Inference, Confidence Intervals, Hypothesis Testing
2. REGRESSION ANALYSIS
3. ANALYSIS OF VARIANCE - SIMPLE EXPERIENCES (1 Factor) COMPLETELY RANDOM
4. ANALYSIS OF THE VARIANCE WITH TWO OR MORE FACTORS
5. CONTINGENCY TABLES AND QUI-SQUARES TESTS
6. FACTORIAL ANALYSIS
7. DISCRIMINATING ANALYSIS
Teaching Methodologies and Assessment Criteria:
The assessment will consist of two assessment elements. The first element will consist of an individual written test, weighted at 70%. The second assessment element will consist of a review of an article provided by the lecturer, weighted at 30% of the final mark.
Main Bibliography:
Pinto, J. Carlos Castro e Curto, J. J. Dias, "Estatística para Economia e Gestão: Instrumentos de Apoio à Tomada de Decisão", Edições Silabo, Lda., Lisboa, 1999.

Hair, Joseph F., Bill Black, Barry Babin, Rolph E. Anderson, Ronald L. Tatham (2006) Multivariate Data Analysis, 6/e, Upper Saddle River, US: Prentice Hall,

Lisboa, João V., Augusto, Mário G. e Ferreira, Pedro L. (2012), “Estatística Aplicada à Gestão”, Vida Económica, Lisboa.

Malhotra, Naresh K. e David F. Birks (2010) Marketing Research – An Applied Approach (6th ed.), Edinburgh Gate, UK: Prentice Hall,

Marôco, J. (2011). Análise Estatística com o SPSS Statistics (5th ed.), Pero Pinheiro: Edições Silabo

McClave, James T., Benson, P. George e Sincich, Terry (2001) Statistics for Business and Economics (8th Ed.), Upper Saddle Rive, US: Prentice Hall, ISBN: 0-13-027293-0
Language:
Portuguese. Tutorial support is available in English.
Esta informação promove os seguintes Objetivos de Desenvolvimento Sustentável da ONU:
Garantir o acesso à educação inclusiva, de qualidade e equitativa, e promover oportunidades de aprendizagem ao longo da vida para todos