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Statistics

Scholar Year: 2023/2024 - 1S

Code: LMKT20586    Acronym: EST
Scientific Fields: Métodos Quantitativos
Section/Department: Department of Economics and Management

Courses

Acronym Nº of students Study Plan Curricular year ECTS Contact hours Total Time
LMKT 119 Study Plain 5,5 60 148,5

Teaching weeks: 15

Head

TeacherResponsability
Francisca Mendonça SouzaHead

Weekly workload

Hours/week T TP P PL L TC E OT OT/PL TPL O S
Type of classes 2 2

Lectures

Type Teacher Classes Hours
Theoretical Totals 2 4,00
Francisca Souza   2,00
Practices Totals 4 8,00
Ana Luísa Sousa   2,00
Francisca Souza   6,00

Teaching language

Portuguese

Intended learning outcomes (Knowledges, skills and competencies to be developed by the students)

Describe and interpret the information contained within a set of numerical data in an understandable way;
Use statistical methods in order to make inference;
Use the knowledge gained in applications of management sciences.

Syllabus

1. Descriptive Statistics
2. Probabilities
3. Distributions
4. Confidence Intervals
5. Hypothesis Tests


Demonstration of the syllabus coherence with the UC intended learning outcomes

Statistics is essential in the context of business sciences, as it is to know of statistical techniques that allows drawing the conclusions about the population from the sample. The contents of this curricular unit have been developed to allow the acquisition of the theoretical background needed in several areas of business and management and the consequent practical application of them. Descriptive statistics allows the description and interpretation of information contained in a set of numerical data.The probabilities and distributions are essential to the construction of confidence intervals and hypothesis tests. The acquisition of such knowledge allows students to formalize, interpret and solve problems

Assessment methodologies and evidences

The assessment is carried out with two tests and a final exam.

Bibliography

Essencial:
• MURTEIRA, Bento, et al. (2010) Introdução à Estatística, Lisboa, Escolar Editora.
• REIS, Elizabeth, (2009) Estatística Descritiva, Lisboa, Edições Sílabo, 7.ª Ed..
• REIS, Elizabeth, et al. (2015) Estatística Aplicada, Vol.1, Lisboa, Edições Sílabo, 6.ª Ed..
• REIS, Elizabeth, et al. (2016) Estatística Aplicada, Vol.2, Lisboa, Edições Sílabo, 5.ª Ed..

Complementar:
• GUIMARÃES, Rui Campos e CABRAL, José (2007) Estatística, Lisboa, McGraw-Hill, 2.ª Ed..
• MCCLAVE, James T. et al. (1998) Statistics for Business and Economics, New Jersey, Prentice Hall International, Inc., Seventh Edition.
• MOOD, Alexander M. et al. (1974), Introduction to the Theory of Statistics, McGraw-Hill International Editions.
• ROBALO, António (1997) Estatística - Exercícios, vol.I, Lisboa, Edições Sílabo, 5.ªEd..
• ROBALO, António (2001) Estatística - Exercícios, vol.II, Lisboa, Edições Sílabo, 5.ªEd..

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Página gerada em: 2024-05-15 às 10:54:16